Calibration process for an automated test system

Information

  • Patent Grant
  • 11226390
  • Patent Number
    11,226,390
  • Date Filed
    Monday, August 28, 2017
    7 years ago
  • Date Issued
    Tuesday, January 18, 2022
    2 years ago
Abstract
An example method, such as a calibration method, includes: determining a geometry of an arrangement of cells that is perceived by a robot configured to move devices into, and out of, the cells; determining an expected location of a target cell among the cells; determining an offset from the expected location that is based on the geometry that is perceived by the robot; and calibrating the robot based on the offset.
Description
TECHNICAL FIELD

This specification relates generally to automated test systems and components thereof.


BACKGROUND

System-level testing (SLT) involves testing an entire device, rather than individual components of the device. If the device passes a battery of system-level tests, it is assumed that the individual components of the device are operating properly. SLT has become more prevalent as the complexity of, and number of components in, devices have increased. For example, a chip-implemented system, such as an application-level integrated circuit (ASIC), may be tested on a system level in order to determine that components that comprise the system are functioning correctly.


SLT systems have traditionally required large footprints in order to provide sufficient testing speed and throughput. For example, some SLT systems can occupy spaces measured in dozens of square meters.


SUMMARY

An example method, such as a calibration method, comprises: determining a geometry of an arrangement of cells that is perceived by a robot configured to move devices into, and out of, the cells; determining an expected location of a target cell among the cells; determining an offset from the expected location that is based on the geometry that is perceived by the robot; and calibrating the robot based on the offset. The example method may include one or more of the following features, either alone or in combination.


The geometry may be a first geometry. Determining the offset may comprise: calculating a first dimension error based on a difference, in the first dimension, between the first geometry and a second geometry of the arrangement of cells, with the second geometry being an expected geometry for the arrangement of cells; and calculating a second dimension error based on a difference, in the second dimension, between the first geometry and the second geometry, with the offset comprising a combination of the first dimension error and the second dimension error. The first dimension error and the second dimension error may be calculated relative to the expected location of the target cell. Calibrating the robot may comprise incorporating the first dimension error and the second dimension error into a movement of the robot to reach the target cell.


The robot may comprise multiple heads, and the offset may be determined with respect to a first head among the multiple heads. Calibrating the robot may comprise calibrating a second head among the multiple heads that is different than the first head. The second head may be calibrated based on both the offset and a second offset corresponding to a difference in locations between the first head and the second head.


The robot may be programmed or otherwise controlled to reach the expected location of the target cell by combining the offset with a perceived location of the target cell. The cells may be on one or more trays for holding devices that have been tested or devices that have not been tested. The cells may comprise one or more receptacles on one or more shuttles configured to move devices between different stages of a test system. The robot may be calibrated to a sub-millimeter accuracy. The robot may be calibrated to an accuracy of at least 0.1 millimeters.


Any two or more of the features described in this specification, including in this summary section, can be combined to form implementations not specifically described herein.


The systems and techniques and processes described herein, or portions thereof, can be implemented as/controlled by a computer program product that includes instructions that are stored on one or more non-transitory machine-readable storage media, and that are executable on one or more processing devices to control (e.g., coordinate) the operations described herein. The systems and techniques and processes described herein, or portions thereof, can be implemented as an apparatus, method, or electronic system that can include one or more processing devices and memory to store executable instructions to implement various operations.


The details of one or more implementations are set forth in the accompanying drawings and the description below. Other features, objects, and advantages will be apparent from the description and drawings, and from the claims.





DESCRIPTION OF THE DRAWINGS


FIGS. 1 to 19 are perspective block diagrams showing parts of an example test system at sequential instances of time during an example course of operation.



FIG. 20 is a perspective view of example test system containing two slices.



FIG. 21 is a cut-away, side view of an example tray cell.



FIG. 22 is a perspective view of an example test carrier.



FIG. 23 is an example of an image of electrical contacts of a device captured by a camera located below the tester loading stage.



FIG. 24 is an example of an image of electrical contacts of a socket in a test carrier captured by a camera located above the tester loading stage.



FIG. 25 is an example of an image of a device in a test carrier captured by a camera located above the tester loading stage.



FIG. 26 is a perspective view of an example test arm and an example gripper that are included in the example test system.



FIG. 27 is a top perspective view of an example socket cap that covers a socket in a test carrier in the example test system.



FIG. 28 is a bottom perspective view of the example socket cap.



FIG. 29 is a cut-away view that includes the example socket cap.



FIGS. 30 and 31 are cut-away views showing an example actuator engaging the example socket cap.



FIG. 32 is a perspective view of the example actuator.



FIGS. 33 and 34 are perspective views of an example pusher and test arm.



FIG. 35 is a perspective view of example springs on the example pusher.



FIGS. 36 and 37 are perspective views of an example test carrier mounted in an example test slot, including example release buttons.



FIGS. 38 and 39 are perspective view of an example test arm, an example pusher, and example hoses and cables mounted in a rotary configuration.



FIG. 40 is a perspective view showing two example test carrier shuttles—one holding a test carrier and one not holding a test carrier.



FIG. 41 is a flowchart showing an example calibration process.



FIG. 42 is a block diagram of an actual geometry of an example arrangement cells in a tray configured to hold devices.



FIG. 43 is a block diagram of a geometry of the arrangement cells in the tray as perceived by a robot for moving devices into, and out of, the cells.



FIG. 44 is a block diagram of an example calibration device.



FIG. 45 is a block diagram showing the perceived geometry of the cells in the tray overlaid on the actual geometry of cells in the tray.





Like reference numerals in different figures indicate like elements.


DETAILED DESCRIPTION

Described herein are example implementations of a test system and components thereof. In some implementations, the test system is constrained in size, without sacrificing speed or throughput. For example, in some implementations the test system may have a footprint of less than sixteen square meters (16 m2) and a volume of less than forty-eight cubic meters (48 m3). The test system may also be configured to test an individual device in ten minutes, and to test tens, hundreds, or thousands of devices contemporaneously or concurrently. However, the example test system described herein is not limited to any particular size, testing speed, or throughput. In some implementations, the test system is an SLT system; however, the components and features described herein may be realized in any appropriate testing context.


In some implementations, the example test system is modular, enabling the test system to accommodate various testing requirements. Each unit of the test system is referred to as a slice. Two or more slices may be combined and controlled to operate in concert (e.g., dependently) or independently to perform testing operations. In some implementations a slice of the test system may have a footprint of less than sixteen square meters (16 m2) and a volume of less than forty-eight cubic meters (48 m3). In some implementations, a slice of the test system has a footprint that is less than 10 m2, or less than 9 m2, or less than 8 m2, e.g., a footprint of about 7.2 m2.



FIGS. 1 to 19 show different operational positions of the example test system. Those figures are first used to describe components of the example test system. In this regard, FIGS. 1 to 20 show an example slice 11 that may be part of a test system 10. Other slices are labeled 12 and 13 in FIG. 1 only. In this example, test system 10 is an SLT test system; however, the system may be used in any testing context. Example test system 10 includes five stages (or zones) per slice; however, any appropriate number of stages may be included in the test system. In the example implementation of FIGS. 1 to 20, the five stages include an input/output (I/O) stage 14 (see FIG. 20, not shown in FIGS. 1 to 19), a transport stage 17, a loading stage 18, an insertion stage 19, and a test stage 20. The definitions of the various stages are not meant to be limiting, and one or more components may perform functions in two or more of the stages. In some implementations, different stages are configured to operate with different levels of precision. For example, higher levels of precision (e.g., down to the micron level) may be used in the loading stage, whereas lower levels of precision may be used in some or all other stages. As described herein, system components, such as mechanical components, may be configured for operation within tolerances that enable lower levels of precision in some stages. By relegating higher precision to stages that may require it, the cost and complexity of the test system can be controlled in some cases.


As explained herein, the different stages of the test system may operate independently and contemporaneously. In the example of FIGS. 1 to 19, each stage includes two parallel paths 21 and 22. Each of the parallel paths includes automation to pass devices between adjacent stages. Operation of the different stages independently, contemporaneously, and in the parallel paths may support higher testing throughput and speed than some comparable test systems. In this regard, testing throughput may be measured in terms of devices tested per unit of time, such as an hour. Furthermore, by breaking functions down by stage, each stage may operate at a limited, or reduced, rate. As a result, there may be fewer opportunities to damage devices under test. In some implementations, each of the stages that moves devices includes functionality to load and to unload devices, and to transport devices.


In the example of FIG. 20, I/O stage 14 includes, but is not limited to, feeders for receiving trays of tested devices, and for providing trays of untested devices to the test system. In some implementations, the devices may be loaded using tape and reel feeder devices instead of trays, although trays are described in the following example implementations. In the example of FIG. 20, there are three feeders 23, 24, 25 per slice; however, the system is not limited to use with three feeders. A first feeder 23 is for trays containing untested devices; a second feeder 24 is for trays containing tested devices that have not passed testing, and a third feeder 25 is for trays containing devices that have passed testing. In this example, feeder 23 is loaded manually with trays of untested devices. A tray among a stack of trays containing untested devices is fed from feeder 23 to the transport stage 17. After all devices on that tray have been forwarded for testing, and the tray is empty, the tray is retracted into the feeder and a new tray containing untested devices is fed to the transport stage. In this example, feeders 24 and 25 are loaded manually with empty trays. After devices have been loaded onto that tray following testing, and the tray is full (in some implementations), the tray is retracted into the feeder and a new, empty tray is fed from the I/O stage to the transport stage from either feeder 24 or 25. In this example, operations of feeders 24 and 25 are the same for trays containing devices that have passed testing and trays containing devices that have not passed testing.


In some implementations, each tray includes cells for holding devices to be tested or cells for holding devices that have been tested. As shown in FIG. 21, a cell 27 may include tapered edges, that are wider near the top of the cell and that decrease in width deeper into the cell. The tapered edges are configured to funnel a device received in a cell to a resting position. For example, as described below, devices that have been tested are returned to cells in the trays. As a device is placed into a cell, the tapered edges funnel or guide the device to its resting position within the cell. Use of tapered edges of this type make it possible to use less precise robotics in the transport stage. That is, the width and tapered edges result in a tolerances that enable robotics placing devices into the trays to be operated with less precision.


In this example, transport stage 17 includes, but is not limited to, a transport robot 30 and two device shuttles 31, 32 (e.g., FIGS. 2 and 8). The two device shuttles provide parallel transport paths, both into, and out of, the loading stage 18 described below, and support testing throughput and redundant reliability in some examples. Transport robot 30 is controllable to pick untested devices from a tray 34 (e.g., FIG. 2) and to place the untested devices onto device shuttles 31 and/or 32 (e.g., FIG. 8). Transport robot 30 is controllable to pick tested devices from device shuttles 31 and 32, and to place the tested devices into an appropriate one of trays 35 or 36, depending upon whether a particular device has passed testing or has not passed testing. In some implementations, transport robot 30 may pick and hold the device through air suction or using mechanical grips or other mechanical mechanisms. In some implementations, the transport robot may include eight pick-and-place actuators for picking, holding, and placing devices. In some implementations, the transport robot may include more or less than eight pick-and-place actuators for picking, holding, and placing devices.


By way of example, transport robot 30 is configured and controllable to pick an untested from a cell of tray 34 and to place the device on a device shuttle 31. In this example, transport robot 30 is configured and controllable to pick a tested device from device shuttle 31 or 32, and to place the tested device into a cell in tray 35 or 36. As described above, the tray cell may have tapered edges, which may reduce the need for precision when placing a tested device into a cell on the tray. For example, the tapered edges may allow the transport robot to deviate by, e.g., tenths of a millimeter or more, when placing the device in a cell of a tray, and still result in the device reach its resting position within the cell. That is, in implementations such as these, the transport robot may be able to position a device and deviate from a target position by tenths of millimeters or more, with the deviation being corrected by the tapered edges.


In the example of FIGS. 1 to 20, transport robot 30 is movable in two dimensions. Referring to legend 33 of FIG. 1, transport robot 30 is movable in the Cartesian X dimension (relative to ground) and in the Cartesian Y dimension (relative to ground). Movement in both the X and Y dimensions enables transport robot 30 to reach all cells of trays 34, 35, and 36 in the transport stage (see also FIG. 2, for example). In this example, movement in the X dimension is enabled by lateral track 37. For example, transport robot 30 is controllable to move along lateral track 37 in the X dimension. In this example, movement in the Y dimension is enabled by longitudinal tracks 39, 40. Together, lateral track 37 and longitudinal tracks 39, 40 form an H-bar. In this example, lateral track 37 (holding transport robot 30) is controllable to move along longitudinal tracks 39, 40 in the Y dimension. In some implementations, transport robot 30 is controllable to move along lateral track 37 at the same time as lateral track 37 moves along longitudinal tracks 39, 40. As a result, the time it takes to reach individual cells can be reduced. Other appropriate mechanisms may be used to implement X and/or Y movement of the transport robot.


In the example of FIGS. 1 to 20, there are two device shuttles 31 and 32. In this example, each of device shuttles 31 and 32 is constrained to move in the Y dimension; however, in some implementations this is not the case. For example, device shuttles 31 and 32 are configured to move along tracks 41 and 42 (see, e.g., FIG. 1), respectively, between the transport stage and the loading stage. In this example, each device shuttle contains multiple receptacles, each for holding a device. For example, device shuttle 31 contains four receptacles; however, a device shuttle may contain more than four receptacles or fewer than four receptacles. Transport robot 30 moves devices between the device shuttle receptacles and tray cells, as described.


In some implementations, the two devices shuttles may be configured and controlled to operate in parallel, independently, contemporaneously, and/or concurrently. For example, the transport robot may provide one device shuttle with devices to be tested, while removing devices that have been tested from another device shuttle. The two devices shuttles may be configured to move between the loading stage and the transport stage independently, in parallel, contemporaneously, and/or concurrently. For example, one device shuttle may transport devices to be tested from the transport stage towards, and to, the loading stage, while the other device shuttle transports devices that have been tested away from the loading stage and to the transport stage. In addition, one device shuttle may be stationary while the other device shuttle is moving. For example, one device shuttle may receive devices to be tested while the other device shuttle transports devices to or from the loading stage.


One or more cameras may be located above the area holding trays 34, 35, 36 to capture images of the trays continuously, periodically, or intermittently. The cameras may be configured to capture images of the trays, at least in part, in order to identify which cells of which trays are empty and which cells of which trays are full. For example, as described, cells in trays 35 and 36 receive devices that have been tested from transport robot 30. To reduce the chances that transport robot 30 will place two devices in the same cell, the cameras capture images of the trays during system operation. One or more computing systems 45 (see, e.g., FIG. 20—referred to as “the computing system”) that control operation of the test system 10, as described herein, receive images captured by the cameras and use the captured images to control operation of the transport robot. For example, the computing system may be programmed to control the transport robot to place devices only in cells that are confirmed not to contain a device already. To implement this feature, the rate at which images of the tray cells are captured may be at least, or greater than, the rate at which the transport robot delivers devices that have been tested to the cells in the trays. Communication between the computing system and the test system are represented conceptually by arrow 46 in FIG. 20.


The images captured by the cameras may also be used to trigger feeding of trays into, or out of, the transport stage. For example, captured images may identify when all cells of tray 34 are empty (e.g., all untested devices have been moved to the loading stage), which may trigger movement of tray 34 back to feeder 24 and movement of a new tray of untested devices into the transport stage. For example, the captured images may identify when all cells of tray 35 or 36 are full, which may trigger movement of tray 35 or 36 back to feeder 24 or 25, respectively, and movement of a new tray of untested devices into the transport stage.


In some implementations, loading stage 18 includes, but is not limited to, loading robots 48, 49 (see, e.g., FIGS. 1 and 8) and an area for loading devices into, and unloading devices from, test carriers, such as 50 and 51 (see, e.g., FIG. 3). In this example, there are two loading robots per slice; however, the test system may include any appropriate number of loading robots. In this example, loading robots 48, 49 are configured to move in the X dimension (and also in the Z dimension to perform pick-and-place operations on devices as described herein). By contrast, in this example, the device shuttles are constrained to move in the Y dimension. In this example, each loading robot 48, 49 is configured to move along a different, respective track 54, 55 (see, e.g., FIG. 8). The loading robots are controllable to move devices into, and out of, test carriers 50, 51 when in the loading stage. For example, each loading robot may be configured to move devices between a device shuttle and a socket in a test carrier.



FIG. 22 shows an example of a test carrier 56. In some implementations, SLT sockets and electronics are concentrated in the test carrier, which is self-contained, portable, and removable. In some implementations, the test carrier includes an electrical interface that is configurable to connect to devices in the test carrier. For example, the interface can be configured to connect to a variety of different electrical interfaces. In the example of FIG. 22, test carrier 56 includes two sockets 58, 59 arranged along the test carrier's longitudinal dimension. Although two test sockets are shown in the example of FIG. 22, other implementations of the test carrier may contain more, or fewer than, two sockets. Each test socket holds a corresponding device.


In some implementations, a test socket is device-specific. For example, the test socket may contain electrical contacts that are complementary to corresponding electrical contacts on a device under test (DUT). Among other things, the loading robots may be configured to place untested devices into test sockets, and to remove tested devices from test sockets. The test sockets are inlaid in the test carrier, and contain walls that may guide devices under test into position so that electrical contacts in the carrier socket and electrical contacts on the device under test align. In some implementations, for example, where the electrical contacts are relatively large, the loading robots may not require a high level of precision, and the test socket walls may play a prominent role in guiding devices under test into position so that electrical contacts in the carrier socket and electrical contacts on the device under test align.


In some implementations, for example, where the electrical contacts are relatively small, more precise placement of the devices into the test sockets may be required. For example, in some implementations, the loading robots may be controllable to operate at a micron (μm)-level precision when placing devices into the test sockets. For example, in some implementations, the loading robots may be controlled to operate at a precision of 1 μm, 2 μm, 3 μm, 4 μm, 5 μm, 6 μm, 7 μm, 8 μm, 9 μm, 10 μm, and so forth. That is, some in implementations, the loading robots may be required not to deviate from a target position by more than an amount of microns. In some implementations, only the loading stage includes robotics and/or mechanics that require high levels of precision, e.g., down to the micron level. In some implementations, the remaining stages may operate with less precision than the loading stage. By relegating higher precision to the loading stage in some implementations, it may be possible to contain system cost and complexity.


In some implementations, precision may be supported using cameras located above and below the loading stage. For example, a camera above the loading stage may capture an image 61 (FIG. 24) of electrical contacts in a socket of a test carrier, and a camera below the loading stage may capture an image 60 (FIG. 23) of complementary electrical contacts of the device under test. The images may be provided to the computing system, which may align electrical contacts on the images, and control the loading robot to place the device at an appropriate location, with appropriate precision, in the test socket. Following placement, alignment may be confirmed by capturing another image 62 of the device in the test socket (FIG. 25), and confirming that the device aligns to a predefined grid pattern 64. In some implementations, the cameras include a look-up camera (below the loading stage) and a look-down camera (above the loading stage) that are configured and controlled to capture images of the device before placement into the test socket and after placement into the test socket. The computing system that controls operation of the test system may be programmed to receive the captured images and to calculate an offset between side solder pads of the device and bottom side soldier balls on the device. The computing system may control the loading robot using the calculated offset to place the device into the test socket and then to place a socket cap on the device. In some implementations, the foregoing features enable the loading stage to position the device and socket cap precisely, without relying solely on device edge alignment to position the device within the test socket.


In some implementations, a first camera is mounted on each loading robot and therefore can be moved along the X dimension, and the first camera is above the sockets and thus can be focused on the sockets. In some implementations, a second camera is mounted below each loading robot and is focused on each robot's vacuum tip in order to image below the device held on the vacuum tip. The position of each loading robot is adjustable in the X and Z dimensions and in terms of pitch, yaw, and roll. The carrier shuttle is controllable to provide Y-dimension adjustments. In some implementations, the second camera is static mounted, whereas each first camera is movable along with a loading robot, as described.


After an untested device reaches a resting position within the test socket, a socket cap is placed over the test socket, among other things, to apply pressure to the device to cause the electrical contacts in the test socket to mate to the complementary electrical contacts in the test carrier. In some implementations, the socket cap may include memory storing executable instructions that are usable by the device during test. For example, the executable instructions may include operational instructions, test routines, and so forth. Accordingly, the socket cap may also include electrical contacts that mate to complementary electrical contacts on the device and/or the test carrier. In some implementations, the socket cap exerts about 35 pounds (lbs) of force on the device in order to implement the various electrical connections; however, any appropriate amount of force may be applied to implement connections. In some implementations, as described herein, the socket cap may be, or include, a kinematic mount, that applies the force via a compression spring. Examples of a socket cap and its installation in a test socket by a loading robot are described below.


Referring back to FIGS. 1 to 19, an example loading robot 48 performs operations in sequence and, in some implementations, does not operate empty-handed. As explained in more detail below, a test carrier is held on a carrier shuttle that moves between the insertion stage 19 and the loading stage 18. In some implementations, there are two carrier shuttles 73, 74 (e.g., FIG. 6) per slice; however, the test system is no limited to use with two carrier shuttles. The carrier shuttles move in the Y dimension along tracks 65, 66, respectively. The carrier shuttles are configured to transport test carriers between test arms in the insertion stage 19 and the loading robots 48, 49 in the loading stage 18. Referring to FIG. 40, each carrier shuttle include air ports 152 on a surface thereof that accepts the test carrier. The air ports force pressurized air through the ports to float the test carriers at appropriate times, and suction air through the ports to create a vacuum and lock the test carriers in place at appropriate times. For example, the air ports force pressurized air through the ports of a carrier shuttle to float a test carrier in the shuttle during removal of a socket cap. The carrier shuttle suctions air through the ports to lock the test carrier in place following removal of the socket cap in order to place an untested device in the socket and replace the socket cap.


In some implementations, during loading and unloading, each loading robot services a diametrically-opposite (e.g., diagonally-located) test socket on a different test carrier. For example, in FIG. 3, loading robot 49 services test socket 67 of test carrier 50 while loading robot 48 services test socket 68 of carrier test carrier 51. Servicing a test slot may include performing any appropriate operation with regard to that test slot including, but not limited to, adding devices to the test slot, removing devices from the test slot, adding a socket cap to a test socket, and/or removing a socket cap from a test socket. Different loading robots service diametrically-opposite (e.g., diagonally-located) test slots on different test carriers in some implementations because the test carriers are floated during at least part of the servicing operations. For example, in FIG. 3, both test carriers 50 and 51 may be floated at appropriate times, for reasons explained below. As a result, test carrier 50 may move wobble when loading robot 49 services test socket 67. This movement may affect the location of the other test socket 70 on the same test carrier. In some implementations, to avoid errors that could result from movements caused by two different loading robots servicing the same test carrier at the same time, the computing system controls the robots so that they do not service the same test carrier at the same time. In some implementations, the robots are controlled to operate in parallel to service different test sockets on different test carriers contemporaneously or concurrently. Because of the geometry of example loading stage 18, the loading robots service diametrically-opposite (e.g., diagonally-located) test sockets on different test carriers. In some implementations, test systems having different geometries may result in differently-located test sockets being serviced in parallel contemporaneously or concurrently.


In some implementations, a loading robot performs operations in sequence and does not operate empty-handed. As noted, each loading robot is configured to, and controllable to, move a device under test between a test carrier and a device shuttle. In an example operational sequence, a carrier shuttle 73 moves from the insertion stage to the loading stage, as shown, e.g., in FIG. 11. Carrier shuttle 73 contains a test carrier 88 having tested devices in its test sockets. As shown in FIGS. 12 to 16, loading robot 48 services test socket 89 to remove a tested device from the test socket and to place an untested device into the test socket. The operational sequence includes the following—where appropriate, details about specific operations are provided below. In this example, each loading robot includes two picker heads—one to remove and replace devices and one to remove and replace socket caps. The carrier shuttle floats the test carrier containing tested devices. A socket picker head of loading robot 48 locks into the socket cap (not shown in FIG. 12) on the test socket, and removes the socket cap while the test carrier is floating on pressurized air. The floating may reduce the chances of damage to circuit boards within the test carrier connected to the device in the test socket. Next, in order to ensure that the test carrier stays in place for subsequent operations, in this example the air through the carrier shuttle ports is suctioned to create a vacuum in order to hold the test carrier in place.


Meanwhile, the socket cap is held by a socket picker head of the loading robot until it is replaced onto the test socket. While the socket picker head is still holding the socket cap, a device picker head of the same loading robot 48 removes the tested device from the test socket 89 (see FIG. 12, for example), and moves in the X dimension and the Z dimension to place the tested device on a device shuttle 31. At a location of the device shuttle, the device picker head unloads the tested device into an empty receptacle on the device shuttle, and the device picker head picks-up an untested device from another receptacle on the device shuttle. The loading robot moves the untested device into position over the empty test socket (FIGS. 13 and 14), and the device picker head places the untested device into the empty test socket with appropriate precision. In some implementations, placement is computer-controlled based on images from the cameras above and below the loading stage, as described herein. In some implementations, the device picker head is configured to rotate an untested device prior to placement in the test carrier to orient the device at a specified orientation within a test socket.


After the untested device is in place in the test socket, the socket picker head of the same loading robot places the socket cap 76 over the test socket (FIGS. 15, 16, and 17). Appropriate force is applied using a compression spring that is described below in order to ensure that electrical contacts in the socket cap, the device, and the test socket mate to create electrical connections to permit signals to pass. Following servicing of test socket 89 by loading robot 48, the other test socket of the same test carrier is serviced by loading robot 49. In this example, after both test sockets in the same test carrier contain untested devices, the test carrier is transported to the insertion stage. Also, as explained above, the tested devices from the test carrier are transported, by the device shuttle, to the transport stage for placement into appropriate trays. The computing system keeps track of whether a tested device has passed or failed testing, and controls the transport robot described herein to place each device into an appropriate tray.


As explained, the carrier shuttle is configured and controllable to transport the test carrier from the loading stage to the insertion stage. In some implementations, the insertion stage is a lower-precision stage than the loading stage, in that the insertion stage is configured and controlled to operate with higher tolerances for deviations than the loading stage. That is, while the loading stage may permit deviations of only microns, the insertion stage may allow deviations in terms of, e.g., tenths of millimeters, millimeters, or more. In this example, the mechanics of the insertion stage support these higher tolerances for deviations for reasons explained.


The insertion stage includes, but is not limited to, test arms 77, 78 (see, e.g., FIG. 5). Each of test arms 77, 78 is configured and controllable to receive a test carrier from a carrier shuttle and to insert the test carrier into a target test slot in a test rack 80. Test rack 80 is three-dimensional structure, as shown in FIGS. 1 to 20, which contains vertically-accessible test slots. In some implementations, the test rack provides physical support for the test carrier, enables communications to devices in the test carrier, and implements data collection and control of testing operations. In some implementations, the test rack is configured to control the thermal test characteristics of the devices in the test carrier, e.g., through use of air pushers, fans, or other convective or conductive heating and/or cooling devices.


In the example of FIGS. 1 to 20, two test arms 77, 78 are shown per slice; however, the test system may include any appropriate number of test arms. The test arms are movable in all three dimensions—X, Y and Z, including rotations and flipping in the manner described herein—in order to insert test carriers into test slots in the test rack, and to extract, or to remove, test carriers from the test slots in the test rack.


Each test arm is configured to hold two test carriers at the same time—one on each face or side of the test arm. In some implementations, each side of a test arm (e.g., 77) includes a carrier-holding receptacle, such as gripper 80 of FIG. 26, for receiving, for holding, and for releasing a test carrier. In this example, the gripper is spring-loaded to accept a test carrier containing untested devices from a carrier shuttle, and to release a test carrier containing tested to device to the (same or different) carrier shuttle. In the example of FIG. 26, the gripper 80 includes two spring-mounted flanges 81, 82, that are configured to engage respective grooves on sides of a test carrier 84 in order to hold the test carrier in place absent external force applied to the test arms. The gripper comprises springs that are configured expand the flanges to accept the test carrier and then snap back into place to hold the test carrier. The flanges are also controllable to spread to release the test carrier. As described in more detail below, the carrier shuttle may be configured to control opening and closing of each gripper.


Test rack 80 includes multiple test slots. Each test slot may be configured and controllable to test devices in the test sockets on a test carrier, and to report the test results back to the computing system controlling the test system. The computing system keeps track of which devices passed testing, and which devices failed testing, and sorts the devices accordingly, as described herein. A test slot in the test rack is serviced by a test arm. In some implementations, during testing, a test slot always remains occupied except for the short time during which test carriers are exchanged in the slot. For example, a test arm may arrive at a test slot while holding a test carrier containing untested devices, extract a test carrier containing tested devices from the test slot, and insert the test carrier containing untested devices into that same test slot from which the other test carrier was extracted. Thus, except for the time between the removal and insertion of the test carriers, the test slot remains occupied. Each test slot in the test rack may be serviced in this manner to enhance testing throughput. Examples of how test carriers are inserted and extracted are provided below.


In an example operation, a test carrier containing tested devices is extracted from a test slot and held in a first gripper on one side of a test arm. At this time, the test arm also holds a test carrier containing untested devices in a second gripper on the other side of the test arm. At least part of the test arm holding the test carriers then rotates (e.g., about 180°) while in front of the now-open test slot so as to position the test carrier containing untested devices for insertion into the test slot. The test carrier containing untested devices is then pushed into the test slot using an air-controlled arm, referred to herein as a pusher (described in more detail below), leaving that second gripper empty and ready to receive a new test carrier


The test arm then moves—e.g., flips and rotates—to position itself to pick-up a test carrier containing untested devices from a carrier shuttle, and to deposit the test carrier containing tested devices onto the (same or different) carrier shuttle. In this example, the test carrier rotates (e.g., about 180°) and flips, as described with respect to FIGS. 17 and 18. The rotation is about a longitudinal axis of the test arm and the flipping includes a rotation in the X dimension. As a result of this movement, the empty second gripper is in position to pick-up a test carrier containing untested devices from the carrier shuttle. Accordingly, the second gripper is controlled to pick-up the test carrier containing untested devices from the carrier shuttle. The test arm then rotates along its longitudinal axis at a point above, or proximate to, the carrier shuttle to position the test carrier containing tested devices for deposit onto the carrier shuttle. The first gripper holding that test carrier is opened, resulting in the test carrier containing the tested devices being deposited on the carrier shuttle. Thereafter, the carrier shuttle transports test carrier containing the tested devices to the loading stage.


At this time, therefore, the first gripper is empty and the second gripper holds a test carrier containing untested devices. Accordingly, the test arm rotates and flips to position the test arm to service another test slot. The test arm may also move vertically to position itself in front of a target test slot to be serviced. This rotation and flipping is opposite to the rotation and flipping performed to position the test arm above the carrier shuttle. Thus, the test arm is positioned to extract, or to receive, from the target test slot, a test carrier containing devices that have been tested. The test carrier containing devices that have been tested is received into the theretofore empty first gripper. Following receipt of the test carrier containing devices that have been tested, the test arm rotates to position the test carrier in the second gripper, which contains devices that have not been tested, into position for insertion into the same test slot. Thereafter, the test carrier containing devices that have not been tested is pushed into that test slot, and the foregoing operations are repeated, slot-by-slot.


As noted, to access different test slots in the test rack, the test arm is configured to move in the Z dimension, which is orthogonal to the X and Y dimensions. To this end, each test arm 77, 78 may be mounted on a corresponding track 84, 85 (see, e.g., FIG. 18), and controlled robotically to implement the Z-dimension movement, as well as the X- and Y-dimensions movements required to implement the rotation and flipping operations. The Z-dimension, in this example, is in a different plane than the X and Y dimensions. In some implementations, each test arm may be configured to move in the X direction, e.g., across the test rack, or the Y direction (into or out of the test rack).


The test stage includes, but is not limited to, the test rack and slots therein. As explained above, the test rack 80 includes electronics for implementing testing operations on devices in the test carriers. In some implementations, the test stage is a lower-precision stage than the loading stage, in that the test stage is configured to operate with higher tolerances for deviations than the loading stage. That is, while the loading stage may permit deviations of only microns, the insertion stage may allow deviations in terms of, e.g., tenths of millimeters, millimeters, or more. In this example, the mechanics of the test stage and the insertion stage support these higher tolerances. For example, as described below, the insertion stage may include a pushing mechanism, or pusher, which pushes a test carrier through a gripper into a test slot, or pulls a test carrier from a test slot into a gripper.


In some implementations, the pusher may precisely push and pull the test carrier along only one degree of freedom, while allowing the test carrier to move, in a relatively loose manner, in the other five degrees of freedom. In some cases, this configuration may reduce, or eliminate, the need for vision systems and precision robots for loading test carriers in to the test rack. For example, the pusher may push or pull the test carrier in one dimension (e.g., the Y dimension) and, in this example, not include tight servo-control. The pusher allows other movement of the test carrier in other dimension, which may result in test carrier wobble. This test carrier wobble, however, is accounted for, and addressed, in the test system design. For example, each test slot contains walls, which are configured to as guides to funnel a test carrier into the test slot so that the test carrier eventually reaches a resting position where electrical contacts on the test carrier can mate to complementary electrical contacts in the test carrier. The guides enable the test carrier to reach its resting position even if the insertion process is not implemented with precision. Thus, in some implementations, by pushing in one dimension, and making use of guides within the test carrier that operate with relatively large tolerances, the test system is able to control costs through use of less precise robotics, while maintaining testing throughput and speed. In some implementations, the use of a pusher that operates in one degree of freedom and guides configured to direct a test carrier in a test slot enable implementation of a low-cost automation solution to perform a task that aligns electrical connections relatively accurately at the back of the carrier. In some implementations, the test slot and the test carrier may be manufacture of plastic. In some implementations, the plastic may be low-cost.


The subsequent description follows devices through the example system of FIGS. 1 to 19, from the I/O stage, through testing, and back to the I/O stage.


In FIG. 1, a device that is untested has been moved, via device shuttle 31, from the transport stage to the loading stage. In the loading stage, loading robot 48 loads the device into test carrier 50. In FIG. 2, device shuttle 31 moves back to the transport stage. In FIG. 3, another device is picked-up by transport robot 30, and moved to device shuttle 31. In FIG. 4, device shuttle 31 transports the other device from the transport stage to the loading stage. In FIG. 5, a socket cap is fixed to the device in socket 70. Cameras above and below the loading stage capture images of the device before and after placement in the test carrier, and the computing system that controls the test system controls the loading robot with micron-level precision to place the device and socket cap with appropriate precision. As described herein, at this point, the test carrier is held in place on a carrier shuttle 73 using a vacuum created by suction.


After both sockets of test carrier 50 have been loaded with devices to be tested, the socket carrier is transported to the insertion stage by carrier shuttle 73, as shown in FIG. 6. There, the vacuum is released, allowing the test carrier 50 to be picked-up by the gripper in test arm 77, as shown in FIGS. 7 and 8. In the example of FIGS. 7 and 8, test arm 77 moves into place to enable a gripper (e.g., gripper 80 of FIG. 26) to engage test carrier 50, and to hold the test carrier for movement.


As shown in FIG. 9, test arm 77 then rotates along its longitudinal axis to deposit test carrier 88 containing tested devices on carrier shuttle 65 as shown in FIG. 10. The other gripper of test arm 77 is therefore empty for the journey back to test rack 80. Test arm 77 moves into position in front of a slot of the test rack to extract a test carrier from the slot, and to insert the test carrier containing the untested device into the test slot. As shown in FIGS. 11 to 13, the test arm movement includes rotating a part of the test arm holding the test carrier along its longitudinal axis, and flipping the test arm (e.g., rotating the test arm about 180° along the X-axis) so that the test arm 77 is positioned in front of a slot 90 to remove a test 93 carrier from the slot. As shown in FIGS. 13 and 14, test arm 77 extends pusher 94 to connect to test carrier 93, and retracts pusher 94 to draw test carrier 93 into the gripper of test arm 77.


At the position of FIGS. 13 to 16, test arm extracts test carrier 93 containing tested devices from test slot 90, and rotates following extraction as shown in FIG. 15. The rotation positions test carrier 50 for insertion into slot 90 via pusher 94, as shown in FIG. 16. Test carrier 93 containing tested devices is above the slot at this time. Thereafter, testing of devices in test carrier 50 is performed in the test slot. Meanwhile, as shown in FIGS. 17 to 19 test arm 77 flips and rotates to position itself relative to the carrier shuttle.


More specifically, following extraction and subsequent insertion of a new test carrier in the test slot, the part of test arm 77 that holds test carrier 93 rotates along its longitudinal axis and flips (e.g., rotates along the X-axis) to position its empty gripper to pick-up a new test carrier from the carrier shuttle. Then, after picking-up a new test carrier from the carrier shuttle, the test arm rotates in place to deposit a test carrier containing tested devices onto the carrier shuttle.


At the loading stage, a device that has been tested is removed from test carrier, such as test carrier 88, and placed onto device shuttle 31. In an example implementation, the ports in the carrier shuttle force air outwardly, causing the carrier shuttle to float on the device carrier. While the test carrier is floating on pressurized air, a socket picker head of the loading robot engages a socket cap over the device, and removes the socket cap as described herein. The socket cap is then held by the socket picker head for subsequent placement on the test carrier, as described herein. At this time, the ports in the carrier shuttle suction air, creating a vacuum to hold the test carrier in place. A device picker head on the loading robot removes the device that has been tested from the test socket. As described, vacuum suction may be used by the device picker head to pick-up and to hold the device during movement, a mechanical grasping mechanism may be used by the device picker head to pick-up and to hold the device during movement, or a combination of vacuum suction and one or more mechanical elements may be used by the device picker head to pick-up and to hold the device during movement. In any event, the device picker head moves the device that has been tested to an empty receptacle of device shuttle. The computing system that controls operation of the test system may keep track of which receptacles of the device shuttle are empty, and control the loading robot accordingly.


In some implementations, after all untested devices have been removed from the device shuttle, and tested devices have been placed into receptacles on the device shuttle, the computing system that controls operation of the test system controls the device shuttle to move from the loading stage towards, and to, the transport stage. At the transport stage, the transport robot 30 removes the devices that have been tested from the device shuttle, and places the devices into an appropriate tray based on whether a device has passed testing or has not passed testing. As described, one or more cameras in the transport stage keep track of open cells in the trays for placement of tested devices. A tray containing the tested device may be moved back into the feeder stage after the tray is full or at least partly full.


Referring to FIG. 27, in some implementations, the socket cap 100 may be, or include, a kinematic mount, that applies force to a device in a socket via a compression spring. In some implementations, the kinematic mount is built into the top of the socket cap, and an air-float bearing is employed to float the test carrier during docking of the kinematic mount. In some implementations, the kinematic mount is a purely mechanical mechanism for precisely aligning the socket and the socket lid. In some implementations, a vacuum system is used within the same air bearing to suction down (e.g., to chuck) and to secure the test carrier during the loading and unloading of devices from the test carrier following alignment with the kinematic mount. In some implementations, as described, the test carrier contains two test sockets, and a separate socket cap is attachable to each test socket. In some implementations, the socket cap floats during the connection (or latching) process, so that the act of connecting the socket cap to the socket does not disturb the device location during precision placement of the socket cap. In this regard, the tooling balls may be lowered to an arbitrary height, and then the test carrier may be floated upwards to enable the tooling balls to align the socket cap to the socket cap actuator. In some implementations, this floating ensures that vertical tolerances in the test carrier do not result in excessive downward force being applied to the socket cap, and, in turn, into a circuit board within the test carrier, which could result in micro-strain fractures of copper tracking within the circuit board within the test carrier. In some implementations, once the test carrier is aligned to its unique position, this position is retained by applying negative pressure to the floatation mechanism (e.g., by suctioning air to create a vacuum), causing the test carrier to secure to the base of the carrier shuttle.


As explained the socket cap is configured to contact a device in a socket of the test carrier and, in response to pressure, to cause the device to connect electrically to electrical connections in the test carrier and/or in the socket cap. An actuator may be movable relative to the socket cap to engage the socket cap to enable to socket cap to apply pressure as described herein. As described with respect to FIG. 32 below, the actuator may include a key element and tooling balls. Referring also to FIGS. 28 to 31, socket cap 100 includes a top plate 99 having grooves 101, 102, 103 that are configured and arranged to engage the tooling balls. The top plate includes a hole 98 having a complementary shape to the key element to allow the key element to pass through the hole when the key element is in the proper orientation.


Referring to FIGS. 29 and 31, the example socket cap also includes a center plunger 104 that is engageable by the key element. The center plunger 104 includes a hole to receive the key element that passed through the top plate. Referring to FIGS. 29 and 32, the key element and the plunger hole have complementary shapes 97 to allow the key element to pass through the plunger hole when the key element is in the proper orientation. The key element is configured to rotate in the plunger hole to rotate to engage notches in the plunger. That is, when rotated within the plunger hole, the key element cannot be slid out of the hole, but rather connects to the plunger and causes the plunger to move in response to upward force. The socket cap also includes a compression spring 106 which is controlled by the actuator.


Referring to FIG. 32, actuator 107 includes the key element 109 that is rotatable, tooling balls 110, 111, 112 arranged relative to the key element; and a block 114 to which the tooling balls are fixed. The key element is movable through the block, and relative to tooling balls. Referring to FIGS. 30 and 31, actuator 107 is controllable to move the key element inside plunger 104 and to rotate the key element inside plunger 104. Meanwhile, the tooling balls engage grooves, as shown in FIGS. 30 and 31. Then, in this example, the actuator is controlled to push the tooling balls downward against the grooves, and to pull the key element upwards along with the plunger 104. This causes compression spring 106 in the socket cap to compress. With the compression spring compressed in this manner, the socket cap may be placed precisely over the device in the socket without applying significant force. Once the socket cap is placed into position, appropriate force may be applied by releasing the compression spring.


In this regard, the actuator may be part of a socket picker head of a loading robot. The socket picker head places the socket cap over the socket containing an untested device. The socket cap includes flanges 118, 119 that physically hold the socket cap in place in the test socket. Following physical connection of the socket cap to the socket via the flanges, the actuator is released, which causes the compression spring to release and to apply force downward, in the direction of arrow 120 (FIG. 29). This force is sufficient to make the connections among the test carrier, the device, and/or memory in the socket cap. For example, as shown in FIGS. 28 and 29, the socket cap includes a memory stack 122 containing pins that connect, e.g., through an interposer 124, to complementary pins on an upper surface of the device to be tested. The compressive force of the spring enables connections of these pins to the device and connection of pins on the device to complementary pins on a circuit board that is on the test carrier and that is located beneath the device to be tested.


As described, in some implementations, the test arm includes a pusher that is configured to extend and thereby to push the test carrier into the test slot. In some implementations, the pusher moves in one dimension only (e.g., the Y dimension), and pushes the test carrier into the test slot in only one degree of freedom. As a result, during movement of the device into the test slot, the test carrier may wobble in other degrees of freedom. However, as the test carrier engages with the test slot, walls, or guides, within the test slot direct, or funnel, the test carrier into a resting position within the test slot. The force applied by the pusher allows electrical contacts on the test carrier—which are part of electrical pathways to the devices in the test slots—to connect to complementary electrical contacts in the test slot. Tests of the devices may be performed by sending signals along these electrical pathways, and from one or more controllers resident in the slot to the test computing system.



FIGS. 33 and 34 shows an example implementation of the pusher on an example test arm 77. Pusher 125 includes a hitch or head 126 that engages a test carrier to either load the test carrier into a test slot, or to extract a test carrier from the test slot. In some implementations, the head is configured to apply minimal mechanical engagement with the test carrier, securing it only in a single plane, thus enabling the carrier to float freely whilst being loaded and unloaded from a test slot. In this regard, FIG. 34 shows part an example of a test carrier 122 held in a gripper 80 of test arm 77. Gripper 160 is empty in this example. In this regard, the portion of the test arm containing the grippers for holding test carriers is configured to rotate (e.g., about 180° along its longitudinal axis) to align the pusher with either the gripper containing a test carrier for insertion into a test slot or a gripper that is empty.


When pusher 125 aligns to a gripper containing a test carrier, in some implementations the pusher is configured to move in one dimension (e.g., the Y dimension), and to force the test carrier into the test slot in only one degree of freedom. As explained above, the gripper engages grooves in the sides of the test carrier, such as groove 128 of test carrier 56 (see, e.g., FIG. 22). The grooves enable movement of the test carrier in the Y dimension in response to applied force. Accordingly, while inhibiting movement in other dimensions or degrees of freedom, the gripper still enables the pusher to force a test carrier out of the gripper and into a test slot. As explained above, walls or guides in the test slot direct, or funnel, the test carrier into a resting position within the test slot. Accordingly, while the test carrier may wobble in other degrees of freedom, this wobbling is mitigated by the guides in the test slot, and does not prevent insertion of the test carrier into the slot or accurate electrical connections between the test slot and the test carrier.


Referring back to FIGS. 33 and 34, pusher 125 is connected, mechanically, to track 130, and is configured to move in the Y dimension via track 130. Movement may be from a fully retracted position shown in FIGS. 33 and 34, along all or part of the length of the grippers, to a fully extended position (e.g., pusher 94 shown in FIGS. 2 and 13) at which the head 126 meets, or moves past, element 134 in the direction of the test slot. At the fully extended position, the pusher has either completed insertion of a test carrier containing devices to be tested into a test slot, or is ready to extract a test carrier containing tested devices that is already in the test slot.


As shown in FIGS. 33, 34, and 35, the pusher contains termination blocks 136a, 136b that include one or more springs 137a, 137b to engage element 134 when the pusher is at least partially, or fully, extended. For example, as the pusher extends, part of the pusher travels along track 130 until the springs 136a, 136b engage element 134. The springs push against element 134 when the pusher is fully, or at least partially, extended thereby controlling the end velocity of the pusher. In addition, as described below, pusher 125 is controlled pneumatically. In some implementations. every direction of movement of the pusher is created via air passing through a valve; therefore, there is a valve to extend the pusher, and a separate valve to retract the pusher, with the only exception being the latch release actuators, which retract with an internal spring, and so have one valve to control extension. In this example, the pusher stops on the spring 136a, 136b because the valves which control it are supplied with two selectable air pressures. One low pressure is selected to extend the pusher, but it is too low to compress the springs. Once the springs need to be compressed, the low pressure is switched to high pressure, the springs compress, and the last part of the movement of the pusher occurs towards the test rack.


As shown in FIGS. 33 and 34, the pusher includes a head 126 that is configured to engage a member on a test carrier to push the carrier or to extract a test carrier from a test slot. To engage a test carrier in a test slot, the test arm, including the pusher, is configured to move in the Z-dimension—in some implementations, down then up relative to the test rack—in order for the head to engage a complementary connector on the test carrier. FIGS. 36 and 37 show an example of such a complementary connector 140 on a test carrier 141 disposed in a test slot. In some implementation, the test carrier is held mechanically in the test slot. Release buttons on the test carrier, when engaged (e.g., pressed), enable the test carrier to be extracted from the test slot.


Referring to FIGS. 36 and 37, the pusher includes smaller, air-controlled extenders 143a, 143b that are controllable to engage the release buttons in order to allow the test carrier to be extracted from the test rack. The air-controlled extenders are placed in complementary locations to the release buttons 144a, 144b such that, when the pusher 125 is extended, and the air-controlled extenders 143a, 143b are actuated, the air-controlled extenders engage the release buttons to release the mechanics that hold the test carrier in the test rack. After this operation, pusher 125 retracts, and draws the test carrier into an empty gripper, such as gripper 160, on the test arm.


The air-controlled extenders may be controlled using a pneumatic system. In some implementations, air used to actuate the air-controlled extenders is supplied only when pusher 125 is extended. Referring to FIGS. 26, 38, and 39, a connector 144 is located proximate to element 134. As pusher 125 travels via track 130 to an extended position (e.g., to a fully extended position), connector 144 engages an air-supply port 145 that travels with the pusher. The air-supply port includes leads to an air hose that leads a supply of pressurized air. In some implementations, a purpose of this configuration is to achieve an axis of motion, in a relatively tightly-compact space, with fewer, or no, moving or flexing cables or tubes. At the pusher reaches full extension, the air-supply port 145 mates to connector 144. Air may then be provided, via this mating, to the air-controlled extenders, which causes those extenders to actuate and engage the release buttons located on the test carrier. In the example of FIGS. 26 and 38, there is a single connector 144 and air-supply port 145 to control to air-controlled extenders. However, in some implementations, there may be two, or more, connectors and air-supply ports, e.g., one on each side of the termination block. The foregoing configuration may have advantages. For example, in some implementations, by connecting the air supply only when the pusher is extended, air hoses need not run along the length of the test arm when the test arm rotates and flips. As a result, there are fewer changes for malfunctions resulting from torn or disconnected hoses.


As noted above, in some implementations, the pusher is controlled using a pneumatic system. Air reaches the pusher through air hoses that are held in a rotary winding. In this regard, some conventional cable management systems would have required additional space along the X-axis and the Z-axis, which would increase the footprint of a slice. However, as shown in FIG. 39, example air hoses 150 may be wound in helical form having radii that increase or decrease as the test arm moves (e.g., rotates and flips) between the test stage and the loading stage. For example, when the test arm faces the test rack, the helically-wound hoses may become more loosely wound, resulting in a larger radius. For example, when the test arm faces the loading stage, the helically-wound hoses may become more tightly wound, resulting in a smaller radius. The example system is not limited to this type of winding; any appropriate type of helical or rotary winding may be used to reduce the footprint of the system, the size of the system, or the geometry of the system.


In some implementations, individual air hoses are interconnected like ribbon cable. In some implementations, individual air hoses are separate. In some implementations, each air hose includes one or more electrical cables—e.g., one or more wound cables—running longitudinally through the air hose. The electrical cables send signals to and from components of the test system, such as the test arm, to control their operation. Because the electrical cables are within the air hoses, the electrical cables are also part of the helical or rotary winding that includes the rotary hoses. Thus, the amount of space taken-up by the electrical cables may also be reduced


In some implementations, the tubing is a multi-channel tube ribbon, with some channels used to convey compressed air, and others used to route high-flex cable for the purposes of passing electrical signals between static and the dynamic sides of the assembly (or fixed and the rotating parts of the system).


Referring to FIG. 39, test arm 77 is shown containing two grippers 80 and 160. In this example, each gripper has a butterfly configuration, which includes two flanges such as 81, 82 (FIG. 26), which are spring-loaded and configured to spread open to engage or to release a test carrier, or to close to hold a test carrier. In some implementations, the gripper is not powered electrically to open or close (e.g., to spread or to close the flanges). Instead, in some implementations, this function is provided at the carrier shuttle. For example, as shown in FIG. 39, ends of the flanges each include a hole 161a, 161b, 161c, 161d. When positioned at the loading stage, complementary posts on, or associated with, the carrier shuttle mate to holes in a gripper and expand outwardly in response to electrical signals or pneumatics, which causes the gripper to let go of the test carrier that it had previously been holding. As described, the test carrier may be deposited onto the carrier shuttle for further processing. The posts for opening and closing the gripper may be electrically or pneumatically actuated.


In some implementations, the transport robot may be calibrated in order to pick, hold, and place devices on the various trays, and in order to pick, hold, and place devices in the device shuttles on the parallel paths. An example implementation of the transport robot includes eight pick-and-place actuators configured to move in three orthogonal axes, including in plane that is parallel to the floor, which is referred to as the XY plane. The actuators can also move up and down along the Z dimension (see the legend of FIG. 1). The example calibration process includes calibration in the XY plane. In an example implementation of the transport robot, the eight pick and place actuators are mounted on a head that itself is mounted on a gantry system—the H-bar—having two degrees of freedom (in the X and Y dimensions in this example). An application programming interface (API) allows a calling program to instruct the head of the transport robot to move distances specified, e.g., in millimeters or sub-millimeters, in both the X and Y dimensions. The movement of the head is repeatable within an acceptable margin of error. However, due to inaccuracies that arise from assembly and design of the gantry itself, the actual distance the head moves in the X and/or Y dimensions may not be accurate to within an acceptable limit (e.g., the sub-millimeter level), and can vary based on the starting and ending positions of the head. In addition, each individual tray feeder may not be positioned accurately enough relative to the gantry system. A tray may not even be a perfect rectangle. All of these sources of error create a challenge to position the pick and place actuators accurately relative to a position of a cell in a tray from any one of the three feeders, or to a receptacle (another type of cell) of device shuttles serviced by the transport robot.


In some implementations, the example calibration process described herein employs mechanical and executable tools and procedures to learn the shape and position of a tray relative to a set of pick and place actuators mounted on a the robot's head, with freedom to move in orthogonal (e.g., XY) axes. In some implementations, the calibration process does not require a uniform relationship between the axes that the pick-and-place actuators move and the distance covered as measured on the target trays themselves. In some implementations, the calibration process is independent of the dimensions of the device that is handled by the pick-and-place actuators. In some implementations, the calibration process is independent of the quantity of devices that can be contained in each tray from each feeder.


Referring to FIG. 41, example calibration process 200 includes determining (201) a geometry of an arrangement of cells that is perceived by the transport robot. For example, because of inaccuracies such as those described above, the transport robot may perceive the geometry of the arrangement differently than it actually is. As a result, absent calibration, the transport robot may deposit devices into the wrong cells. For example, as shown in FIG. 42, a tray of cells may have an actual geometry 210; however, the robot may perceive the tray of cells to have a different geometry, such as geometry 211 of FIG. 43. In this example, perception by the robot of the tray includes the robot mis-identifying coordinates of different cells on the tray.


The computer system that performs the calibration process stores, in memory, the shape and coordinates of the actual geometry 210. The computer system that performs the calibration also stores, in memory, the shape and coordinates of the perceived geometry 211. In some implementations, the perceived geometry of an arrangement of cells, such as a tray, is determined before calibration. For example, in some implementations, a calibration device having the same geometry as the tray may be used to determine the perceived geometry. For example, as shown in FIG. 44, a calibration device 212 contains a predefined number, such as four, holes 213a, 213b, 213c, 213d (not shown to scale). To determine how the transport robot perceives the device, a technician may manually move the transport robot to each of the holes and, with the same pick-and-place actuator, insert the actuator into each hole. The computer system records the coordinates at each hole, and constructs the perceived geometry 211 of FIG. 43. The discrepancies between the actual and perceived geometries may be due to the errors in the robot or elsewhere described above. This perceived geometry is used for each tray having the same dimensions as the calibration device. Also, although only four holes are shown in the calibration device of FIG. 44, any appropriate number of holes may be used to determine the perceived geometry.


By comparing the actual geometry 210 to the perceived geometry 211, it is apparent in this example that the perceived geometry is a distorted version of the actual geometry. In this example, the perceived geometry is stretched and skewed irregularly; however, different robots may perceive the same geometry differently and not necessarily in the manner shown in FIG. 43. The calibration process identifies, for each cell of a tray or shuttle, an offset between the expected (e.g., actual) location of the cell in the actual geometry and the perceived location of the cell in the perceived geometry. This offset may include, for example, X dimension and Y dimension error values. These X dimension and Y dimension error values may be added to coordinate values of the perceived location so that the robot is above to reach the actual location.


Referring back to FIG. 41, calibration process 200 includes determining (202) an expected location of a target cell among an arrangement of cells, such as a tray. As noted, the actual geometry of the tray is stored in memory. Accordingly, the computer system can identify the expected location of a particular cell based on the stored geometry. For example, the stored geometry may represent that cells are arranged in a regular rectangular grid pattern, that the regular grid pattern includes N rows and M columns of cells, and that the cells are identified by row and column, with corresponding coordinates stored for the rows and columns. Knowing this information, the computer system can determine, based on the cell to be accessed, the expected location of the target cell. The expected location may be a central or other predefined location within the target cell, and calibration may be performed with respect to the central or predefined location. This is done, in some examples, to increase the likelihood that a pick-and-place actuator will contact a device at the central or predefined location. In some examples, picking a device up from its edges or other non-preferred location may adversely affect its placement onto a shuttle or into a tray, which is why calibration may be performed relative to a central or other predefined location in a cell.


Calibration process 200 determines (203) an offset from the expected location that is based on the geometry of the arrangement of cells that is perceived by the robot. In some implementations, determining the offset includes, but is not limited to, calculating a first dimension—e.g., X dimension—error based on a difference, in the first dimension, between the actual geometry and the perceived geometry; and calculating a second dimension—e.g., Y dimension—error based on a difference, in the second dimension, between the actual geometry and the perceived geometry. The offset includes a combination of the first dimension error and the second dimension error, and may be combined with the coordinates of the robot's perceived location of the cell so that the robot is able to reach the expected location of the cell.



FIG. 45 shows, conceptually, how the X dimension error and the Y dimension error are determined in an example implementation. FIG. 45 shows an actual geometry 210 of an arrangement of cells, and an actual (or expected) location 214 of a target cell within the actual geometry. FIG. 45 also shows a perceived geometry 211 of the arrangement of cells overlaid on the actual geometry 210, and a perceived location 215 of the target cell within the perceived geometry. As noted, the perceived location is the location where, absent calibration, the transport robot would deliver a device destined for the actual (expected) location 214. In this example, calibration is performed for each actual location/perceived location pair for a particular robot.


Accordingly, to obtain the X dimension error, the computer system simulates a horizontal line 216 through actual location 214. As shown in FIG. 45, distances d1 and d2 are determined, in the X dimension, between the actual location and the edges of the perceived geometry 211. The differences between distances d1 and d2 and the edges of the actual geometry 210 along horizontal line 216 constitute errors e1, e2 in the X dimension. The total error in the X dimension is a sum of e1 an e2, with one of the two being assigned a positive value or a negative value based on whether the edges of the perceived geometry fall inside, or outside, of the edges of the actual geometry. In this example, to obtain the Y dimension error, the computer system simulates a vertical line 217 through the actual location 214. As shown in FIG. 45, distances d3 and d4 are determined, in the Y dimension, between the actual location and the edges of the perceived geometry 211. The differences between distances d3 and d4 and the edges of the actual geometry 210 along vertical line 217 constitute errors e3, e4 in the Y dimension. The total error in the Y dimension is a sum of e3 an e4, with one of the two being assigned a positive value or a negative value based on whether the edges of the perceived geometry fall inside, or outside, of the edges of the actual geometry.


The combination of the errors in the X dimension and the Y dimension constitute the offset. The transport robot may be calibrated (204) based on the offset. For example, if the transport robot is controlled to move to the target cell, the computer system is programmed to combine the coordinates of the target cell as perceived by the transport robot with the offset—e.g., the errors in the X and Y dimensions—in order to enable the transport robot to travel to, and to reach, the target cell at the actual/expected location. For example, the error in the X dimension may be added to, or subtracted from, the X coordinate of the perceived location, and the error in the Y dimension may be added to, or subtracted from, the Y coordinate of the perceived location. In some implementations, weighting factors or multipliers may be applied to the error in the X and/or Y dimensions. In some implementations, the transport robot is calibrated to a sub-millimeter precision. For example, the transport robot may be calibrated to an accuracy of at least 0.1 millimeters—for instance, the transport robot may be calibrated and controlled so that the transport robot positions a device in a cell at a location that is no more than 0.1 millimeters from its expected location.


In some implementations, the transport robot includes multiple—e.g., eight—pick-and-place actuators, as noted above. The offset described above may be determined with respect to a designated one of the multiple pick-and-place actuators. Calibrating the transport robot may include calibrating a second head among the multiple heads that is different than the designated head. The second head may be calibrated based on both the offset and a second offset corresponding to a difference in locations between the designated head and the second head. For example, the computer system may know the distances between heads on a transport robot. The offset may be determined with respect to the designated head. An additional offset, reflecting the distance between the second head (e.g., an adjacent head) and the designated head may also be applied when determining where to position the second head. For example, in addition to adding the X dimension error and the Y dimension error, an additional X and/or Y dimension offset may be applied to the perceived coordinates when performing calibration for a head other than the designated head.


Although calibration process 200 is described with respect to the transport robot, the example calibration process may be used with any appropriate robot or system.


The example systems described herein may be implemented by, and/or controlled using, one or more computer systems comprising hardware or a combination of hardware and software. For example, a system like the ones described herein may include various controllers and/or processing devices located at various points in the system to control operation of the automated elements. A central computer may coordinate operation among the various controllers or processing devices. The central computer, controllers, and processing devices may execute various software routines to effect control and coordination of the various automated elements.


The example systems described herein can be controlled, at least in part, using one or more computer program products, e.g., one or more computer program tangibly embodied in one or more information carriers, such as one or more non-transitory machine-readable media, for execution by, or to control the operation of, one or more data processing apparatus, e.g., a programmable processor, a computer, multiple computers, and/or programmable logic components.


A computer program can be written in any form of programming language, including compiled or interpreted languages, and it can be deployed in any form, including as a stand-alone program or as a module, component, subroutine, or other unit suitable for use in a computing environment. A computer program can be deployed to be executed on one computer or on multiple computers at one site or distributed across multiple sites and interconnected by a network.


Actions associated with implementing all or part of the testing can be performed by one or more programmable processors executing one or more computer programs to perform the functions described herein. All or part of the testing can be implemented using special purpose logic circuitry, e.g., an FPGA (field programmable gate array) and/or an ASIC (application-specific integrated circuit).


Processors suitable for the execution of a computer program include, by way of example, both general and special purpose microprocessors, and any one or more processors of any kind of digital computer. Generally, a processor will receive instructions and data from a read-only storage area or a random access storage area or both. Elements of a computer (including a server) include one or more processors for executing instructions and one or more storage area devices for storing instructions and data. Generally, a computer will also include, or be operatively coupled to receive data from, or transfer data to, or both, one or more machine-readable storage media, such as mass storage devices for storing data, e.g., magnetic, magneto-optical disks, or optical disks. Machine-readable storage media suitable for embodying computer program instructions and data include all forms of non-volatile storage area, including by way of example, semiconductor storage area devices, e.g., EPROM, EEPROM, and flash storage area devices; magnetic disks, e.g., internal hard disks or removable disks; magneto-optical disks; and CD-ROM and DVD-ROM disks.


Any “electrical connection” as used herein may imply a direct physical connection or a wired or wireless connection that includes or does not include intervening components but that nevertheless allows electrical signals to flow between connected components. Any “connection” involving electrical circuitry that allows signals to flow, unless stated otherwise, is an electrical connection and not necessarily a direct physical connection regardless of whether the word “electrical” is used to modify “connection”.


Elements of different implementations described herein may be combined to form other embodiments not specifically set forth above. Elements may be left out of the structures described herein without adversely affecting their operation. Furthermore, various separate elements may be combined into one or more individual elements to perform the functions described herein.

Claims
  • 1. A method comprising: determining a first geometry of an arrangement of cells that is perceived by a robot configured to move devices into, and out of, the cells, the first geometry comprising a distortion of an expected geometry of the arrangement of cells, the first geometry being determined by moving the robot to predefined locations on a calibration device having a same geometry as a tray containing the arrangement of cells and recording coordinates of the predefined locations;determining an expected location of a target cell among the cells based on the expected geometry stored in computer memory;determining an offset from the expected location that is based on the first geometry and the expected geometry; andcalibrating the robot based on the offset to compensate for the distortion;wherein the expected geometry is a second geometry, and wherein determining the offset comprises: calculating a first dimension error based on a difference in the first dimension between the first geometry and the second geometry; andcalculating a second dimension error based on a difference in the second dimension between the first geometry and the second geometry, the offset comprising a combination of the first dimension error and the second dimension error.
  • 2. The method of claim 1, wherein the first dimension error and the second dimension error are calculated relative to the expected location of the target cell.
  • 3. The method of claim 1, wherein calibrating the robot comprises incorporating the first dimension error and the second dimension error into a movement of the robot to reach the target cell.
  • 4. The method of claim 1, wherein the robot comprises multiple heads, and the offset is determined with respect to a first head among the multiple heads; and wherein calibrating the robot comprises calibrating a second head among the multiple heads that is different than the first head, the second head being calibrated based on both the offset and a second offset corresponding to a difference in locations between the first head and the second head.
  • 5. The method of claim 1, wherein the robot is calibrated to reach the expected location of the target cell by combining the offset with a perceived location of the target cell.
  • 6. The method of claim 1, wherein the cells are on one or more trays for holding devices that have been tested or devices that have not been tested.
  • 7. The method of claim 1, wherein the cells comprises one or more receptacles on one or more shuttles configured to move devices between different stages of a test system.
  • 8. The method of claim 1, wherein the robot is calibrated to a sub-millimeter accuracy.
  • 9. The method of claim 1, wherein the robot is calibrated to an accuracy of at least 0.1 millimeters.
  • 10. One or more non-transitory machine-readable storage devices storing instructions that are executable to perform operations comprising: determining a first geometry of an arrangement of cells that is perceived by a robot configured to move devices into, and out of, the cells, the first geometry comprising a distortion of an expected geometry of the arrangement of cells, the first geometry being determined by moving the robot to predefined locations on a calibration device having a same geometry as a tray containing the arrangement of cells and recording coordinates of the predefined locations;determining an expected location of a target cell among the cells based on the expected geometry stored in computer memory;determining an offset from the expected location that is based on the first geometry and the expected geometry; andcalibrating the robot based on the offset to compensate for the distortion;wherein the expected geometry is a second geometry, and wherein determining the offset comprises: calculating a first dimension error based on a difference in the first dimension between the first geometry and the second geometry; andcalculating a second dimension error based on a difference in the second dimension between the first geometry and the second geometry, the offset comprising a combination of the first dimension error and the second dimension error.
  • 11. The one or more non-transitory machine-readable storage devices of claim 10, wherein the first dimension error and the second dimension error are calculated relative to the expected location of the target cell.
  • 12. The one or more non-transitory machine-readable storage devices of claim 10, wherein calibrating the robot comprises incorporating the first dimension error and the second dimension error into a movement of the robot to reach the target cell.
  • 13. The one or more non-transitory machine-readable storage devices of claim 10, wherein the robot comprises multiple heads, and the offset is determined with respect to a first head among the multiple heads; and wherein calibrating the robot comprises calibrating a second head among the multiple heads that is different than the first head, the second head being calibrated based on both the offset and a second offset corresponding to a difference in locations between the first head and the second head.
  • 14. The one or more non-transitory machine-readable storage devices of claim 10, wherein the robot is calibrated to reach the expected location of the target cell by combining the offset with a perceived location of the target cell.
  • 15. The one or more non-transitory machine-readable storage devices of claim 10, wherein the cells are on one or more trays for holding devices that have been tested or devices that have not been tested.
  • 16. The one or more non-transitory machine-readable storage devices of claim 10, wherein the cells comprises one or more receptacles on one or more shuttles configured to move devices between different stages of a test system.
  • 17. The one or more non-transitory machine-readable storage devices of claim 10, wherein the robot is calibrated to a sub-millimeter accuracy.
  • 18. The one or more non-transitory machine-readable storage devices of claim 10, wherein the robot is calibrated to an accuracy of at least 0.1 millimeters.
US Referenced Citations (508)
Number Name Date Kind
557186 Cahill Mar 1896 A
2224407 Passur Dec 1940 A
2380026 Clarke Jul 1945 A
2631775 Gordon Mar 1953 A
2635524 Jenkins Apr 1953 A
3120166 Lyman Feb 1964 A
3360032 Sherwood Dec 1967 A
3364838 Bradley Jan 1968 A
3517601 Courchesne Jun 1970 A
3845286 Aronstein et al. Oct 1974 A
4147299 Freeman Apr 1979 A
4233644 Hwang et al. Nov 1980 A
4336748 Martin et al. Jun 1982 A
4379259 Varadi et al. Apr 1983 A
4477127 Kume Oct 1984 A
4495545 Dufresne et al. Jan 1985 A
4526318 Fleming et al. Jul 1985 A
4620248 Gitzendanner Oct 1986 A
4648007 Garner Mar 1987 A
4654727 Blum et al. Mar 1987 A
4654732 Mesher Mar 1987 A
4665455 Mesher May 1987 A
4683424 Cutright et al. Jul 1987 A
4685303 Branc et al. Aug 1987 A
4688124 Scribner et al. Aug 1987 A
4713714 Gatti et al. Dec 1987 A
4739444 Zushi et al. Apr 1988 A
4754397 Varaiya et al. Jun 1988 A
4768285 Woodman, Jr. Sep 1988 A
4775281 Prentakis Oct 1988 A
4778063 Ueberreiter Oct 1988 A
4801234 Cedrone Jan 1989 A
4809881 Becker Mar 1989 A
4817273 Lape et al. Apr 1989 A
4817934 McCormick et al. Apr 1989 A
4851965 Gabuzda et al. Jul 1989 A
4881591 Rignall Nov 1989 A
4888549 Wilson et al. Dec 1989 A
4911281 Jenkner Mar 1990 A
4967155 Magnuson Oct 1990 A
5012187 Littlebury Apr 1991 A
5045960 Eding Sep 1991 A
5061630 Knopf et al. Oct 1991 A
5094584 Bullock Mar 1992 A
5119270 Bolton et al. Jun 1992 A
5122914 Hanson Jun 1992 A
5127684 Klotz et al. Jul 1992 A
5128813 Lee Jul 1992 A
5136395 Ishii et al. Aug 1992 A
5143193 Geraci Sep 1992 A
5158132 Guillemot Oct 1992 A
5168424 Bolton et al. Dec 1992 A
5171183 Pollard et al. Dec 1992 A
5173819 Takahashi et al. Dec 1992 A
5176202 Richard Jan 1993 A
5205132 Fu Apr 1993 A
5206772 Hirano et al. Apr 1993 A
5207613 Ferchau et al. May 1993 A
5210680 Scheibler May 1993 A
5237484 Ferchau et al. Aug 1993 A
5263537 Plucinski et al. Nov 1993 A
5268637 Liken et al. Dec 1993 A
5269698 Singer Dec 1993 A
5295392 Hensel et al. Mar 1994 A
5309323 Gray et al. May 1994 A
5325263 Singer et al. Jun 1994 A
5343403 Beidle et al. Aug 1994 A
5349486 Sugimoto et al. Sep 1994 A
5368072 Cote Nov 1994 A
5374395 Robinson et al. Dec 1994 A
5379229 Parsons et al. Jan 1995 A
5398058 Hattori Mar 1995 A
5412534 Cutts et al. May 1995 A
5414591 Kimura et al. May 1995 A
5426581 Kishi et al. Jun 1995 A
5469037 McMurtrey, Sr. et al. Nov 1995 A
5477416 Schkrohowsky et al. Dec 1995 A
5484012 Hiratsuka Jan 1996 A
5486681 Dagnac et al. Jan 1996 A
5491610 Mok et al. Feb 1996 A
5543727 Bushard et al. Aug 1996 A
5546250 Diel Aug 1996 A
5547537 Reynolds et al. Aug 1996 A
5557186 McMurtrey, Sr. et al. Sep 1996 A
5563768 Perdue Oct 1996 A
5570740 Flores et al. Nov 1996 A
5593380 Bittikofer Jan 1997 A
5601141 Gordon et al. Feb 1997 A
5604662 Anderson et al. Feb 1997 A
5610893 Soga et al. Mar 1997 A
5617430 Angelotti et al. Apr 1997 A
5644705 Stanley Jul 1997 A
5646918 Dimitri et al. Jul 1997 A
5654846 Wicks et al. Aug 1997 A
5673029 Behl et al. Sep 1997 A
5694290 Chang Dec 1997 A
5703843 Katsuyama et al. Dec 1997 A
5718627 Wicks Feb 1998 A
5718628 Nakazato et al. Feb 1998 A
5731928 Jabbari et al. Mar 1998 A
5751549 Eberhardt et al. May 1998 A
5754365 Beck et al. May 1998 A
5761032 Jones Jun 1998 A
5793610 Schmitt et al. Aug 1998 A
5811678 Hirano Sep 1998 A
5812761 Seki et al. Sep 1998 A
5813817 Matsumiya et al. Sep 1998 A
5819842 Potter et al. Oct 1998 A
5831525 Harvey Nov 1998 A
5851143 Hamid Dec 1998 A
5859409 Kim et al. Jan 1999 A
5859540 Fukumoto Jan 1999 A
5862037 Behl Jan 1999 A
5870630 Reasoner et al. Feb 1999 A
5886639 Behl et al. Mar 1999 A
5890959 Pettit et al. Apr 1999 A
5892367 Magee et al. Apr 1999 A
5912799 Grouell et al. Jun 1999 A
5913926 Anderson et al. Jun 1999 A
5914856 Morton et al. Jun 1999 A
5927386 Lin Jul 1999 A
5955877 Farnworth Sep 1999 A
5956301 Dimitri et al. Sep 1999 A
5959834 Chang Sep 1999 A
5999356 Dimitri et al. Dec 1999 A
5999365 Hasegawa et al. Dec 1999 A
6000623 Blatti et al. Dec 1999 A
6005404 Cochran et al. Dec 1999 A
6005770 Schmitt Dec 1999 A
6008636 Miller et al. Dec 1999 A
6008984 Cunningham et al. Dec 1999 A
6011689 Wrycraft Jan 2000 A
6031717 Baddour et al. Feb 2000 A
6034870 Osborn et al. Mar 2000 A
6042348 Aakalu et al. Mar 2000 A
6045113 Itakura Apr 2000 A
6055814 Song May 2000 A
6066822 Nemoto et al. May 2000 A
6067225 Reznikov et al. May 2000 A
6069792 Nelik May 2000 A
6084768 Bolognia Jul 2000 A
6094342 Dague et al. Jul 2000 A
6104607 Behl Aug 2000 A
6107813 Sinsheimer et al. Aug 2000 A
6115250 Schmitt Sep 2000 A
6122131 Jeppson Sep 2000 A
6122232 Schell et al. Sep 2000 A
6124707 Kim et al. Sep 2000 A
6129428 Helwig et al. Oct 2000 A
6130817 Flotho et al. Oct 2000 A
6144553 Hileman et al. Nov 2000 A
6166901 Gamble et al. Dec 2000 A
6169413 Paek et al. Jan 2001 B1
6169930 Blachek et al. Jan 2001 B1
6177805 Pih Jan 2001 B1
6178835 Orriss et al. Jan 2001 B1
6181557 Gatti Jan 2001 B1
6185065 Hasegawa et al. Feb 2001 B1
6185097 Behl Feb 2001 B1
6188191 Frees et al. Feb 2001 B1
6192282 Smith et al. Feb 2001 B1
6193339 Behl et al. Feb 2001 B1
6209842 Anderson et al. Apr 2001 B1
6227516 Webster, Jr. et al. May 2001 B1
6229275 Yamamoto May 2001 B1
6231145 Liu May 2001 B1
6233148 Shen May 2001 B1
6236563 Buican et al. May 2001 B1
6247944 Bolognia et al. Jun 2001 B1
6249824 Henrichs Jun 2001 B1
6252769 Tullstedt et al. Jun 2001 B1
6262863 Ostwald et al. Jul 2001 B1
6272007 Kitlas et al. Aug 2001 B1
6272767 Botruff et al. Aug 2001 B1
6281677 Cosci et al. Aug 2001 B1
6282501 Assouad Aug 2001 B1
6285524 Boigenzahn et al. Sep 2001 B1
6289678 Pandolfi Sep 2001 B1
6297950 Erwin Oct 2001 B1
6298672 Valicoff, Jr. Oct 2001 B1
6302714 Bolognia et al. Oct 2001 B1
6304839 Ho et al. Oct 2001 B1
6307386 Fowler et al. Oct 2001 B1
6327150 Levy et al. Dec 2001 B1
6330154 Fryers et al. Dec 2001 B1
6351379 Cheng Feb 2002 B1
6354792 Kobayashi et al. Mar 2002 B1
6356409 Price et al. Mar 2002 B1
6356415 Kabasawa Mar 2002 B1
6384593 Kobayashi et al. May 2002 B1
6384995 Smith May 2002 B1
6388437 Wolski et al. May 2002 B1
6388875 Chen May 2002 B1
6388878 Chang May 2002 B1
6389225 Malinoski et al. May 2002 B1
6390756 Isaacs et al. May 2002 B1
6411584 Davis et al. Jun 2002 B2
6421236 Montoya et al. Jul 2002 B1
6434000 Pandolfi Aug 2002 B1
6434498 Ulrich et al. Aug 2002 B1
6434499 Ulrich et al. Aug 2002 B1
6464080 Morris et al. Oct 2002 B1
6467153 Butts et al. Oct 2002 B2
6473297 Behl et al. Oct 2002 B1
6473301 Levy et al. Oct 2002 B1
6476627 Pelissier et al. Nov 2002 B1
6477044 Foley et al. Nov 2002 B2
6477442 Valerino, Sr. Nov 2002 B1
6480380 French et al. Nov 2002 B1
6480382 Cheng Nov 2002 B2
6487071 Tata et al. Nov 2002 B1
6489793 Jones et al. Dec 2002 B2
6494663 Ostwald et al. Dec 2002 B2
6525933 Eland Feb 2003 B2
6526841 Wanek et al. Mar 2003 B1
6535384 Huang Mar 2003 B2
6537013 Emberty et al. Mar 2003 B2
6544309 Hoefer et al. Apr 2003 B1
6546445 Hayes Apr 2003 B1
6553532 Aoki Apr 2003 B1
6560107 Beck et al. May 2003 B1
6565163 Behl et al. May 2003 B2
6566859 Wolski et al. May 2003 B2
6567266 Ives et al. May 2003 B2
6568770 Gonska et al. May 2003 B2
6570734 Ostwald et al. May 2003 B2
6577586 Yang et al. Jun 2003 B1
6577687 Hall et al. Jun 2003 B2
6618254 Ives Sep 2003 B2
6626846 Spencer Sep 2003 B2
6628518 Behl et al. Sep 2003 B2
6635115 Fairbairn et al. Oct 2003 B1
6640235 Anderson Oct 2003 B1
6644982 Ondricek et al. Nov 2003 B1
6651192 Viglione et al. Nov 2003 B1
6654240 Tseng et al. Nov 2003 B1
6679128 Wanek et al. Jan 2004 B2
6693757 Hayakawa et al. Feb 2004 B2
6736583 Ostwald et al. May 2004 B2
6741529 Getreuer May 2004 B1
6746648 Mattila et al. Jun 2004 B1
6751093 Hsu et al. Jun 2004 B1
6791785 Messenger et al. Sep 2004 B1
6791799 Fletcher Sep 2004 B2
6798651 Syring et al. Sep 2004 B2
6798972 Ito et al. Sep 2004 B1
6801834 Konshak et al. Oct 2004 B1
6806700 Wanek et al. Oct 2004 B2
6808353 Ostwald et al. Oct 2004 B2
6811427 Garrett et al. Nov 2004 B2
6826046 Muncaster et al. Nov 2004 B1
6830372 Liu et al. Dec 2004 B2
6832929 Garrett et al. Dec 2004 B2
6861861 Song et al. Mar 2005 B2
6862173 Konshak et al. Mar 2005 B1
6867939 Katahara et al. Mar 2005 B2
6892328 Klein et al. May 2005 B2
6904479 Hall et al. Jun 2005 B2
6908330 Garrett et al. Jun 2005 B2
6928336 Peshkin et al. Aug 2005 B2
6937432 Sri-Jayantha et al. Aug 2005 B2
6957291 Moon et al. Oct 2005 B2
6965811 Dickey et al. Nov 2005 B2
6974017 Oseguera Dec 2005 B2
6976190 Goldstone Dec 2005 B1
6980381 Gray et al. Dec 2005 B2
6982872 Behl et al. Jan 2006 B2
7006325 Emberty et al. Feb 2006 B2
7013198 Haas Mar 2006 B2
7021883 Plutt et al. Apr 2006 B1
7039924 Goodman et al. May 2006 B2
7054150 Orriss et al. May 2006 B2
7070323 Wanek et al. Jul 2006 B2
7076391 Pakzad et al. Jul 2006 B1
7077614 Hasper et al. Jul 2006 B1
7088541 Orriss et al. Aug 2006 B2
7092251 Henry Aug 2006 B1
7106582 Albrecht et al. Sep 2006 B2
7123477 Coglitore et al. Oct 2006 B2
7126777 Flechsig et al. Oct 2006 B2
7130138 Lum et al. Oct 2006 B2
7134553 Stephens Nov 2006 B2
7139145 Archibald et al. Nov 2006 B1
7164579 Muncaster et al. Jan 2007 B2
7167360 Inoue et al. Jan 2007 B2
7181458 Higashi Feb 2007 B1
7203021 Ryan et al. Apr 2007 B1
7203060 Kay et al. Apr 2007 B2
7206201 Behl et al. Apr 2007 B2
7216968 Smith et al. May 2007 B2
7219028 Bae et al. May 2007 B2
7219273 Fisher et al. May 2007 B2
7227746 Tanaka et al. Jun 2007 B2
7232101 Wanek et al. Jun 2007 B2
7243043 Shin Jul 2007 B2
7248467 Sri-Jayantha et al. Jul 2007 B2
7259966 Connelly, Jr. et al. Aug 2007 B2
7273344 Ostwald et al. Sep 2007 B2
7280353 Wendel et al. Oct 2007 B2
7289885 Basham et al. Oct 2007 B2
7304855 Milligan et al. Dec 2007 B1
7315447 Inoue et al. Jan 2008 B2
7349205 Hall et al. Mar 2008 B2
7353524 Lin et al. Apr 2008 B1
7385385 Magliocco et al. Jun 2008 B2
7395133 Lowe Jul 2008 B2
7403451 Goodman et al. Jul 2008 B2
7421623 Haugh Sep 2008 B2
7437212 Farchmin et al. Oct 2008 B2
7447011 Wade et al. Nov 2008 B2
7457112 Fukuda et al. Nov 2008 B2
7467024 Flitsch Dec 2008 B2
7476362 Angros Jan 2009 B2
7483269 Marvin, Jr. et al. Jan 2009 B1
7505264 Hall et al. Mar 2009 B2
7554811 Scicluna et al. Jun 2009 B2
7568122 Mechalke et al. Jul 2009 B2
7570455 Deguchi et al. Aug 2009 B2
7573715 Mojaver et al. Aug 2009 B2
7584851 Hong et al. Sep 2009 B2
7612996 Atkins et al. Nov 2009 B2
7625027 Kiaie et al. Dec 2009 B2
7630196 Hall et al. Dec 2009 B2
7635246 Neeper et al. Dec 2009 B2
7643289 Ye et al. Jan 2010 B2
7646596 Ng Jan 2010 B2
7729107 Atkins et al. Jun 2010 B2
7778031 Merrow et al. Aug 2010 B1
7789267 Hutchinson et al. Sep 2010 B2
7848106 Merrow Dec 2010 B2
7890207 Toscano et al. Feb 2011 B2
7904211 Merrow et al. Mar 2011 B2
7908029 Slocum, III Mar 2011 B2
7911778 Merrow Mar 2011 B2
7920380 Merrow et al. Apr 2011 B2
7929303 Merrow Apr 2011 B1
7932734 Merrow et al. Apr 2011 B2
7940529 Merrow et al. May 2011 B2
7945424 Garcia et al. May 2011 B2
7987018 Polyakov et al. Jul 2011 B2
7995349 Merrow et al. Aug 2011 B2
7996174 Garcia et al. Aug 2011 B2
8041449 Noble et al. Oct 2011 B2
8086343 Slocum, III Dec 2011 B2
8095234 Polyakov et al. Jan 2012 B2
8102173 Merrow Jan 2012 B2
8116079 Merrow Feb 2012 B2
8117480 Merrow et al. Feb 2012 B2
8140182 Noble et al. Mar 2012 B2
8160739 Toscano et al. Apr 2012 B2
8238099 Merrow Aug 2012 B2
8279603 Merrow et al. Oct 2012 B2
8305751 Merrow Nov 2012 B2
8405971 Merrow et al. Mar 2013 B2
8466699 Merrow et al. Jun 2013 B2
8467180 Merrow et al. Jun 2013 B2
8482915 Merrow Jul 2013 B2
8499611 Merrow et al. Aug 2013 B2
8547123 Merrow et al. Oct 2013 B2
8549912 Merrow et al. Oct 2013 B2
8628239 Merrow et al. Jan 2014 B2
8631698 Merrow et al. Jan 2014 B2
8655482 Merrow Feb 2014 B2
8687349 Truebenbach Apr 2014 B2
8687356 Merrow Apr 2014 B2
9196518 Hofmeister Nov 2015 B1
20010006453 Glorioso et al. Jul 2001 A1
20010044023 Johnson et al. Nov 2001 A1
20010046118 Yamanashi et al. Nov 2001 A1
20010048590 Behl et al. Dec 2001 A1
20020009391 Marquiss et al. Jan 2002 A1
20020026258 Suzuki et al. Feb 2002 A1
20020030981 Sullivan et al. Mar 2002 A1
20020044416 Harmon et al. Apr 2002 A1
20020051338 Jiang et al. May 2002 A1
20020071248 Huang et al. Jun 2002 A1
20020079422 Jiang Jun 2002 A1
20020090320 Burow et al. Jul 2002 A1
20020116087 Brown Aug 2002 A1
20020161971 Dimitri et al. Oct 2002 A1
20020172004 Ives et al. Nov 2002 A1
20030035271 Lelong et al. Feb 2003 A1
20030043550 Ives Mar 2003 A1
20030206397 Allgeyer et al. Nov 2003 A1
20040165489 Goodman et al. Aug 2004 A1
20040230399 Shin Nov 2004 A1
20040236465 Butka et al. Nov 2004 A1
20040251866 Gan Dec 2004 A1
20040264121 Orriss et al. Dec 2004 A1
20050004703 Christie Jan 2005 A1
20050010836 Bae et al. Jan 2005 A1
20050012498 Lee et al. Jan 2005 A1
20050018397 Kay et al. Jan 2005 A1
20050055601 Wilson et al. Mar 2005 A1
20050057849 Twogood et al. Mar 2005 A1
20050062463 Kim Mar 2005 A1
20050069400 Dickey et al. Mar 2005 A1
20050109131 Wanek et al. May 2005 A1
20050116702 Wanek et al. Jun 2005 A1
20050131578 Weaver Jun 2005 A1
20050179457 Min et al. Aug 2005 A1
20050207059 Cochrane Sep 2005 A1
20050219809 Muncaster et al. Oct 2005 A1
20050225338 Sands et al. Oct 2005 A1
20050270737 Wilson et al. Dec 2005 A1
20060010353 Haugh Jan 2006 A1
20060023331 Flechsig et al. Feb 2006 A1
20060028802 Shaw et al. Feb 2006 A1
20060066974 Akamatsu et al. Mar 2006 A1
20060130316 Takase et al. Jun 2006 A1
20060190205 Klein et al. Aug 2006 A1
20060227517 Zayas et al. Oct 2006 A1
20060250766 Blaalid et al. Nov 2006 A1
20070018673 Hsieh Jan 2007 A1
20070034368 Atkins et al. Feb 2007 A1
20070035874 Wendel et al. Feb 2007 A1
20070035875 Hall et al. Feb 2007 A1
20070053154 Fukuda et al. Mar 2007 A1
20070082907 Canada et al. Apr 2007 A1
20070127202 Scicluna et al. Jun 2007 A1
20070127206 Wade et al. Jun 2007 A1
20070152655 Ham et al. Jul 2007 A1
20070183871 Hofmeister et al. Aug 2007 A1
20070185676 Ding Aug 2007 A1
20070195497 Atkins Aug 2007 A1
20070248142 Rountree et al. Oct 2007 A1
20070253157 Atkins et al. Nov 2007 A1
20070286045 Onagi et al. Dec 2007 A1
20080007865 Orriss et al. Jan 2008 A1
20080030945 Mojaver et al. Feb 2008 A1
20080112075 Farquhar et al. May 2008 A1
20080238460 Kress et al. Oct 2008 A1
20080239564 Farquhar et al. Oct 2008 A1
20080282275 Zaczek et al. Nov 2008 A1
20080282278 Barkley Nov 2008 A1
20080317575 Yamazaki et al. Dec 2008 A1
20090028669 Rebstock Jan 2009 A1
20090082907 Stuvel et al. Mar 2009 A1
20090122443 Farquhar et al. May 2009 A1
20090142169 Garcia et al. Jun 2009 A1
20090153992 Garcia et al. Jun 2009 A1
20090153993 Garcia et al. Jun 2009 A1
20090153994 Merrow et al. Jun 2009 A1
20090175705 Nakao et al. Jul 2009 A1
20090261047 Merrow Oct 2009 A1
20090261228 Merrow Oct 2009 A1
20090261229 Merrow Oct 2009 A1
20090262444 Polyakov et al. Oct 2009 A1
20090262445 Noble et al. Oct 2009 A1
20090262454 Merrow Oct 2009 A1
20090262455 Merrow Oct 2009 A1
20090265032 Toscano et al. Oct 2009 A1
20090265043 Merrow et al. Oct 2009 A1
20090265136 Garcia et al. Oct 2009 A1
20090297328 Slocum, III Dec 2009 A1
20100074404 Ito Mar 2010 A1
20100083732 Merrow et al. Apr 2010 A1
20100165498 Merrow et al. Jul 2010 A1
20100165501 Polyakov et al. Jul 2010 A1
20100168906 Toscano et al. Jul 2010 A1
20100172722 Noble et al. Jul 2010 A1
20100193661 Merrow Aug 2010 A1
20100194253 Merrow et al. Aug 2010 A1
20100195236 Merrow et al. Aug 2010 A1
20100230885 Di Stefano Sep 2010 A1
20100249993 Mitsuyoshi Sep 2010 A1
20100265609 Merrow et al. Oct 2010 A1
20100265610 Merrow et al. Oct 2010 A1
20100279439 Shah Nov 2010 A1
20100302678 Merrow Dec 2010 A1
20110011844 Merrow et al. Jan 2011 A1
20110012631 Merrow et al. Jan 2011 A1
20110012632 Merrow et al. Jan 2011 A1
20110013362 Merrow et al. Jan 2011 A1
20110013665 Merrow et al. Jan 2011 A1
20110013666 Merrow et al. Jan 2011 A1
20110013667 Merrow et al. Jan 2011 A1
20110064546 Merrow Mar 2011 A1
20110074458 Di Stefano et al. Mar 2011 A1
20110148020 Kogure Jun 2011 A1
20110157825 Merrow et al. Jun 2011 A1
20110172807 Merrow Jul 2011 A1
20110185811 Merrow et al. Aug 2011 A1
20110189934 Merrow Aug 2011 A1
20110236163 Smith et al. Sep 2011 A1
20110261483 Campbell et al. Oct 2011 A1
20110305132 Merrow et al. Dec 2011 A1
20110310724 Martino Dec 2011 A1
20120023370 Truebenbach Jan 2012 A1
20120034054 Polyakov et al. Feb 2012 A1
20120050903 Campbell et al. Mar 2012 A1
20120106351 Gohel et al. May 2012 A1
20120321435 Truebenbach Dec 2012 A1
20130071224 Merrow et al. Mar 2013 A1
20130096718 Friedman et al. Apr 2013 A1
20130108253 Akers et al. May 2013 A1
20130181576 Shiozawa et al. Jul 2013 A1
20130200915 Panagas Aug 2013 A1
20130256967 Carvalho Oct 2013 A1
20130345836 Ikushima Dec 2013 A1
20140093214 Detofsky et al. Apr 2014 A1
20140148949 Graca et al. May 2014 A1
20140271064 Merrow et al. Sep 2014 A1
20140306728 Arena et al. Oct 2014 A1
20170059635 Orchanian et al. Mar 2017 A1
20190064252 Bowyer et al. Feb 2019 A1
20190064254 Bowyer et al. Feb 2019 A1
20190064261 Bowyer et al. Feb 2019 A1
Foreign Referenced Citations (200)
Number Date Country
583716 May 1989 AU
1114109 Dec 1995 CN
1177187 Mar 1998 CN
1192544 Sep 1998 CN
2341188 Sep 1999 CN
3786944 Nov 1993 DE
69111634 May 1996 DE
69400145 Oct 1996 DE
19701548 Aug 1997 DE
19804813 Sep 1998 DE
69614460 Jun 2002 DE
69626584 Dec 2003 DE
19861388 Aug 2007 DE
0210497 Feb 1987 EP
0242970 Oct 1987 EP
0 277 634 Aug 1988 EP
0356977 Mar 1990 EP
0442642 Aug 1991 EP
0466073 Jan 1992 EP
582017 Feb 1994 EP
0617570 Sep 1994 EP
0635836 Jan 1995 EP
741508 Nov 1996 EP
0757320 Feb 1997 EP
0757351 Feb 1997 EP
0776009 May 1997 EP
0840476 May 1998 EP
1 045 301 Oct 2000 EP
1209557 May 2002 EP
1234308 Aug 2002 EP
1422713 May 2004 EP
1612798 Jan 2006 EP
1760722 Mar 2007 EP
2241118 Aug 1991 GB
2276275 Sep 1994 GB
2299436 Oct 1996 GB
2312984 Nov 1997 GB
2328782 Mar 1999 GB
2439844 Jan 2008 GB
61-115279 Jun 1986 JP
62-177621 Aug 1987 JP
62-239394 Oct 1987 JP
62-251915 Nov 1987 JP
63-002160 Jan 1988 JP
63-016482 Jan 1988 JP
63-062057 Mar 1988 JP
63-201946 Aug 1988 JP
63-004483 Sep 1988 JP
63-214972 Sep 1988 JP
63-269376 Nov 1988 JP
S63-195697 Dec 1988 JP
64-089034 Apr 1989 JP
2-091565 Mar 1990 JP
2-098197 Apr 1990 JP
2-185784 Jul 1990 JP
2-199690 Aug 1990 JP
2-278375 Nov 1990 JP
2-297770 Dec 1990 JP
3-078160 Apr 1991 JP
3-105704 May 1991 JP
H05-319520 Dec 1993 JP
6-004220 Jan 1994 JP
6-004981 Jan 1994 JP
6-162645 Jun 1994 JP
6-181561 Jun 1994 JP
6-215515 Aug 1994 JP
6-274943 Sep 1994 JP
6-314173 Nov 1994 JP
7-007321 Jan 1995 JP
7-029364 Jan 1995 JP
H07-010212 Jan 1995 JP
7-037376 Feb 1995 JP
7-056654 Mar 1995 JP
7-111078 Apr 1995 JP
7-115497 May 1995 JP
7-201082 Aug 1995 JP
7-226023 Aug 1995 JP
7-230669 Aug 1995 JP
7-257525 Oct 1995 JP
1982246 Oct 1995 JP
7-307059 Nov 1995 JP
8007994 Jan 1996 JP
8-030398 Feb 1996 JP
8-030407 Feb 1996 JP
8-079672 Mar 1996 JP
8-106776 Apr 1996 JP
8-110821 Apr 1996 JP
8-167231 Jun 1996 JP
8-212015 Aug 1996 JP
8-244313 Sep 1996 JP
8-263525 Oct 1996 JP
8-263909 Oct 1996 JP
8-297957 Nov 1996 JP
2553315 Nov 1996 JP
9-044445 Feb 1997 JP
9-064571 Mar 1997 JP
9-082081 Mar 1997 JP
2635127 Jul 1997 JP
9-306094 Nov 1997 JP
H09-319466 Dec 1997 JP
10-040021 Feb 1998 JP
10-049365 Feb 1998 JP
10-064173 Mar 1998 JP
10-098521 Apr 1998 JP
2771297 Jul 1998 JP
10-275137 Oct 1998 JP
10-281799 Oct 1998 JP
10-320128 Dec 1998 JP
10-340139 Dec 1998 JP
2862679 Mar 1999 JP
11-134852 May 1999 JP
11-139839 May 1999 JP
2906930 Jun 1999 JP
11-203201 Jul 1999 JP
11-213182 Aug 1999 JP
11-327800 Nov 1999 JP
11-353128 Dec 1999 JP
11-353129 Dec 1999 JP
3-008086 Feb 2000 JP
2000-056935 Feb 2000 JP
2000-066845 Mar 2000 JP
2000-112831 Apr 2000 JP
2000-113563 Apr 2000 JP
2000-114759 Apr 2000 JP
2000-125290 Apr 2000 JP
2000-132704 May 2000 JP
2000-149431 May 2000 JP
3052183 Jun 2000 JP
2000-228686 Aug 2000 JP
2000-235762 Aug 2000 JP
2000-236188 Aug 2000 JP
2000-242598 Sep 2000 JP
2000-278647 Oct 2000 JP
3097994 Oct 2000 JP
2000-305860 Nov 2000 JP
2001-005501 Jan 2001 JP
2001-023270 Jan 2001 JP
2001-100925 Apr 2001 JP
3-207947 Sep 2001 JP
3-210662 Sep 2001 JP
3-212859 Sep 2001 JP
3-214490 Oct 2001 JP
3-240821 Dec 2001 JP
2002-42446 Feb 2002 JP
3-295071 Jun 2002 JP
2007087498 Apr 2007 JP
2007-188615 Jul 2007 JP
2007-220184 Aug 2007 JP
2007-293936 Nov 2007 JP
2007-305206 Nov 2007 JP
2007-305290 Nov 2007 JP
4-017134 Dec 2007 JP
2007-328761 Dec 2007 JP
2008-503824 Feb 2008 JP
4-143989 Sep 2008 JP
4-172658 Oct 2008 JP
4-214288 Jan 2009 JP
4-247385 Apr 2009 JP
4-259956 Apr 2009 JP
4-307440 Aug 2009 JP
4-325923 Sep 2009 JP
5-035053 Sep 2012 JP
5-035415 Sep 2012 JP
5-066896 Nov 2012 JP
5-068257 Nov 2012 JP
5-073566 Nov 2012 JP
5-073803 Nov 2012 JP
5-101603 Dec 2012 JP
5-173718 Apr 2013 JP
5-189163 Apr 2013 JP
5-204725 Jun 2013 JP
5-223551 Jun 2013 JP
1998-0035445 Aug 1998 KR
10-0176527 Nov 1998 KR
10-0214308 Aug 1999 KR
10-0403039 Oct 2003 KR
10-2007-0024354 Mar 2007 KR
10-2013-0111915 Oct 2013 KR
45223 Jan 1998 SG
387574 Apr 2000 TW
WO-8901682 Feb 1989 WO
WO-9706532 Feb 1997 WO
WO-0049487 Aug 2000 WO
WO-0067253 Nov 2000 WO
WO-0109627 Feb 2001 WO
WO-0141148 Jun 2001 WO
WO-03013783 Feb 2003 WO
WO-03021597 Mar 2003 WO
WO-03021598 Mar 2003 WO
WO-03067385 Aug 2003 WO
WO-2004006260 Jan 2004 WO
WO-2004114286 Dec 2004 WO
WO-2005024830 Mar 2005 WO
WO-2005024831 Mar 2005 WO
WO-2005109131 Nov 2005 WO
WO-2006030185 Mar 2006 WO
WO-2006048611 May 2006 WO
WO-2006100441 Sep 2006 WO
WO-2006100445 Sep 2006 WO
WO-2007031729 Mar 2007 WO
Non-Patent Literature Citations (73)
Entry
U.S. Appl. No. 15/688,048, filed Aug. 28, 2017, Automated Test System Having Orthogonal Robots.
U.S. Appl. No. 15/688,073, filed Aug. 28, 2017, Automated Test System Having Multiple Stages.
U.S. Appl. No. 15/688,104, filed Aug. 28, 2017, Automated Test System Employing Robotics.
U.S. Appl. No. 16/105,179, filed Aug. 20, 2018, Carrier-Based Test System.
International Search Report for PCT/US2018/046740, 3 pages (dated Dec. 5, 2018).
Written Opinion for PCT/US2018/046740, 5 pages (dated Dec. 5, 2018).
Abraham et al., “Thermal Proximity Imaging of Hard-Disk Substrates”, IEEE Transactions on Mathematics 36:3997-4004, Nov. 2000.
Abramovitch, “Rejecting Rotational Disturbances on Small Disk Drives Using Rotational Accelerometers”, Proceedings of the 1996 IFAC World Congress in San Francisco, CA, 8 pages (Jul. 1996).
Ali et al., “Modeling and Simulation of Hard Disk Drive Final Assembly Using a HDD Template” Proceedings of the 2007 Winter Simulation Conference, IEEE pp. 1641-1650 (2007).
Anderson et al., “Clinical chemistry: concepts and applications”, The McGraw-Hill Companies, Inc., pp. 131-132, 2003.
Anderson et al., “High Reliability Variable Load Time Controllable Vibration Free Thermal Processing Environment”, Delphion, 3 pages (Dec. 1993). hhtps://www.delphion.com/tdbs/tdb?order=93A +63418 (retrieved Mar. 18, 2009).
Asbrand, “Engineers at One Company Share the Pride and the Profits of Successful Product Design”, Professional Issues, 4 pages, 1987.
Bair et al., “Measurements of Asperity Temperatures of a Read/Write Head Slider Bearing in Hard Magnetic Recording Disks”, Journal of Tribology 113:547-554, Jul. 1991.
Bakken et al., “Low Cost, Rack Mounted, Direct Access Disk Storage Device”, Delphion, 2 pages (Mar. 1977). http://www.delphion.com/tdbs/tdb (retrieved Mar. 3, 2005).
Biber et al., “Disk Drive Drawer Thermal Management”, Advances in Electronic Packaging vol. 1:43-46, 1995.
Christensen, “How Can Great firms Fail? Insights from the hard Disk Drive Industry”, Harvard Business School Press, pp. 1-26, 2006.
Chung et al., “Vibration Absorber for Reduction of the In-plane Vibration in an Optical Disk Drive”, IEEE Transactions on Consumer Electronics, Vo. 48, May 2004.
Curtis et al., “InPhase Professional Archive Drive Architecture”, InPhase Technologies, Inc., 6 pages (Dec. 17, 2007) http://www.science.edu/TechoftheYear/Nominees/InPhase.
Exhibit 1 in Xyratex Technology, LTD v. Teradyne, Inc.; Newspaper picture that displays the CSO tester; 1990.
Exhibit 1314 in Xyratex Technology, LTD. V. Teradyne, Inc.; Case, “Last products of Disk-File Development at Hursley and Millbrook,” IBM, Oct. 12, 1990.
Exhibit 1315 in Xyratex Technology, LTD. V. Teradyne, Inc.; Case, “History of Disk-File Development at Hursley and Millbrook,” IBM, Oct. 17, 1990.
Exhibit 1326 in Xyratex Technology, LTD v. Teradyne, Inc.; Image of the back of Exhibit 1 and Exhibit 2 photos, which display the photos dates; 1990.
Exhibit 2 in Xyratex Technology, LTD v. Teradyne, Inc.; Photos of the CSO tester obtained from Hitachi; 1990.
Findeis et al., “Vibration Isolation Techniques Sutiable for Portable Electronic Speckle Pattern Interferometry”, Proc. SPIE vol. 4704, pp. 159-167, 2002 http://www.ndt.uct.ac.za/Paoers/soiendt2002.odf.
FlexStar Technology, “A World of Storage Testing Solutions,” http://www.flexstar.com, 1 page (1999).
FlexStar Technology, “Environment Chamber Products,” http://www.flexstar.com, 1 page (1999).
FlexStar Technology, “FlexStar's Family of Products,” http://www.flexstar.com, 1 page (1999).
FlexStar Technology, 30E/Cascade Users Manual, Doc #98-36387-00 Rev. 1.8, pp. 1-33, Jun. 1, 2004.
Frankovich, “The Basics of Vibration Isolation Using Elastomeric Materials”, Aearo EAR Specialty Composites, 8 pages (2005) http://www.isoloss.com/11dfs/engineering/BasicsoNibrationisolation.
Grochowski et al., “Future Trends in Hard Disk Drives”, IEEE Transactions on Magnetics, 32(3): 1850-1854 (May 1996).
Gurumurthi et al., “Disk Drive Roadmap from the Thermal Perspective: A Case for Dynamic Thermal Management”, International Symposium on Computer Architecture Proceedings of the 32nd Annual International Symposium on Computer Architecture, Technical Report CSE-05-001, pp. 38-49 (Feb. 2005).
Gurumurthi et al., “Thermal Issues in Disk Drive Design: Challenges and Possible Solutions”, ACM Transactions on Storage, 2(1): 41-73 (Feb. 2006).
Gurumurthi, “The Need fortemperature-Aware Storage Systems”, The Tenth Intersociety conference on Thermal and Thermomechanical Phenomena in Electronics, pp. 387-394, 2006.
Haddad et al., “A new Mounting Adapter For Computer Peripherals with Improved Reliability, Thermal Distribution, Low Noise and Vibration Reduction”, ISPS, Advances in Information Storage and Processing Systems, 1:97-108, 1995.
Henderson, “HAD High Aerial Densities Require Solid Test Fixtures”, Flexstar Technology, 3 pages (Feb. 26, 2007).
HighBeam Research website “ACT debuts six-zone catalytic gas heater. (American Catalytic Technologies offers new heaters)”, 4 pages (Oct. 26, 1998). http://www.highbeam.com.
HighBeam Research website “Asynchronous Testing Increases Throughput”, 7 pages (Dec. 1, 2000). http://www.highbeam.com.
HighBeam Research website “Credence announces Production Release of the EPRO AQ Series for Integrated Test and Back-end Processing”, 4 pages (1995). http://www.highbeam.com.
HighBeam Research website “Test Multiple Parts At Once for Air Leaks. (Brief Article)”, 1 page (1999) http://www.highbeam.com.
Iwamiya, “Hard Drive Cooling Using a Thermoelectric Cooler”, EEP—vol. 19-2, Advances in Electronic Packaging, vol. 2:2203-2208, ASME 1997.
Johnson et al., “Performance Measurements of Tertiary Storage Devices”, Proceedings of the 24th VLDB Conference, New York, pp. 50-61, 1998.
Ku, “Investigation of Hydrodynamic Bearing Friction in Data Storage information System Spindle Motors”, ISPSvol. 1, Advances in Information Storage and Processing Systems, pp. 159-165, ASME 1995.
Lindner, “Disk drive mounting”, IBM Technical Disclosure Brochure, vol. 16, No. 3, pp. 903-904, Aug. 1973.
Low, Y.L. et al., “Thermal network model for temperature prediction in hard disk drive”, Microsyst Technol, 15: 1653-1656 (2009).
McAuley, “Recursive Time Trapping for Synchronization of Product and Chamber Profiles for Stress Test”, Delphion, 3 pages (Jun. 1988), https://www.delphion.com/tdbs/tdb, (retrieved Mar. 18, 2009).
Morgenstern, Micropolis Drives Target High-end Apps; Technology Provides Higher Uninterrupted Data Transfer. (Applications; Microdisk AV LS 3020 and 1050AV and I 760AV LT Stackable Hard Drive Systems) (Product Announcement) MacWeek, vol. 8, No. 6, p. 8; Feb. 7, 1994.
Morris, “Zero Cost Power and Cooling Monitor System”, 3 pages (Jun. 1994) https://www.delphion.com/tdbs/tdb (retrieved Jan. 15, 2008).
Nagarajan, “Survey of Cleaning and cleanliness Measurement in Disk Drive Manufacture”, North Carolina Department of Environment and Natural Resources, 13-21 (Feb. 1997).
Park, “Vibration and Noise Reduction of an Optical Disk Drive by Using a Vibration Absorber Methods and Apparatus for Securing Disk Drives in a Disk”, IEEE Transactions on Consumer Electronics, vol. 48, Nov. 2002.
Prater et al., “Thermal and Heat-Flow Aspects of Actuators for Hard Disk Drives”, InterSociety Conference on Thermal Phenomena, pp. 261-268, 1994.
Ruwart et al., “Performance Impact of External Vibration on Consumer-grade and enterprise-class Disk Drives”, Proceedings ofthe 22nd IEEE/13th Goddard Conference on Mass Storage Systems and Technologies, 2005.
Schroeder et al., “Disk Failures in the Real World: What does an MTTP of 1,000,000 hours mean to you?”, In FAST'07: 5th USENIX Conference on File and Storage Technologies, San Jose, CA, Feb. 14-16, 2007.
Schulze et al., “How Reliable is a Raid?,” COMPCON Spring apos; 89. Thirty-Fourth IEEE Computer Society International Conference: Intellectual Leverage, Digest of papers; pp. 118-123, Feb. 27-Mar. 3, 1989.
Seagate Product Marketing, “Seagate's Advanced Multidrive System (SAMS) Rotational Vibration Feature”, Publication TP-229D, Feb. 2000.
Suwa et al., “Evaluation System for Residual Vibration from HDD Mounting Mechanism” IEEE Transactions on Magnetics, vol. 35, No. 2, pp. 868-873, Mar. 1999.
Suwa et al., “Rotational Vibration Suppressor” IBM Technical Disclosure Bulletin Oct. 1991.
Terwiesch et al., “An Exploratory Study of International Product Transfer and Production Ramp-Up in the Data Storage Industry”, The Information Storage Industry Center, University of California, pp. 1-31, 1999. www-iros.ucsd.edu/sloan/.
Tzeng, “Dynamic Torque Characteristics of Disk-Drive Spindle Bearings”, ISPS—vol. 1, Advances in Information Storage and Processing Systems, pp. 57-63, ASME 1995.
Tzeng, “Measurements of Transient Thermal Strains in a Disk-Drive Actuator”, InterSociety conference on Thermal Phenomena, pp. 269-274, 1994.
Wilson—7000 disk Drive Analyzer Product Literature, date accessed Jan. 28, 2009, 2 pages.
Winchester, “Automation Specialists Use Machine Vision as a System Development Tool”, IEE Computing & Control Engineering, Jun./Jul. 2003.
Xyratex Product Test brochure, “Automated Production Test Solutions”, 2006.
Xyratex Technology, LTD. V. Teradyne, Inc., Amended Joint Trial Exhibit List of Xyratex and Teradyne. Case No. CV 08-04545 SJO (PLAx), Nov. 12, 2009.
Xyratex Technology, LTD. V. Teradyne, Inc., Teradyne, Inc's Prior Art Notice Pursuant to 35; U.S.C. Section 282. Case No. CV 08-04545 SJO (PLAx), Oct. 16, 2009.
Xyratex to Debut its New Automated Test Solution for 2.5-Inch Disk Drives at DISKCON USA 2004, PR Newswire Europe (2004).
Xyratex, “Continuous Innovation—Production Test Systems” www.xyratex.com/Products/production-test-system (1995-2008).
Xyratex, “Key Advantages—Production Test Systems” www.xyratex.com/Products/production-test-system (1995-2008).
Xyratex, “Process Challenges in the Hard Drive Industry” slide presentation, Asian Diskcon (2006).
Xyratex, “Production Test Systems” www.xyratex.com/Products/production-test-system (1995-2008).
Xyratex, “Single cell—Production Test Systems” www.xyratex.com/Products/production-test-system (1995-2008).
Xyratex, “Storage Infrastructure” www.xyratex.com/Products/storage-infrastructure/default.aspx (1995-2008).
Xyratex, “Testing Drives Colder—Production Test Systems” www.xyratex.com/Products/production-test-system (1995-2008).
International Preliminary Report on Patentability for PCT/US2018/046740, 6 pages (dated Mar. 12, 2020).
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