The present invention relates to the art of welding station simulation and more particularly to a virtual sequencer that simulates semi-automatic welding of complex assemblies.
Learning how to perform all of the steps required in a welding station, including the steps that are in addition to welding, traditionally takes many hours of instruction, training, and practice.
There are many different types of operations that can be learned, including various welding and non-welding operations. Typically, the steps of a welding station are learned by a student operator at a real welding station performing welding operations on real metal pieces. Such real-world training can tie up scarce welding resources and use up limited welding materials. Training while welding on real production parts can be costly as an operator learns the assembly operation. Training time on real production parts typically requires two operators (costly) and potentially generates scrap, rework, or low quality assemblies.
Recently, however, the idea of training using welding simulations has become more popular. Some welding simulations are implemented via personal computers, on-line via the Internet, or even as virtual welders. However, conventional welding simulations tend to be limited to single welds in their training focus and typically involve one welding technique at a time. Conventional virtual reality training generally only involves individual welds and does not prepare, or train, the operator how to produce a complete assembly that involves multiple welding and/or assembly steps. In practice, unlike in these simulators, there are many different welding techniques and non-welding operations required at a welding station that are needed to create an entire, complete welded assembly. Thus, there is an unmet need for welding simulation systems and methods that can effectively simulate the production of complete assemblies.
The general inventive concepts encompass virtual welding systems (and related methods), including the illustrative systems and methods disclosed and suggested herein.
In one exemplary embodiment, a virtual welding system comprises: a logic processor based subsystem operable to execute coded instructions for generating an interactive welding environment that emulates welding activity on a virtual weld joint defined by at least one of a welding coupon and a sample part; a virtual sequence controller operatively connected to the logic processor based subsystem for implementing a virtual sequence; displaying means operatively connected to the logic processor based subsystem for visually depicting the interactive welding environment including the virtual weld joint; an input device for performing virtual welding activity on the virtual weld joint in real time; and a spatial tracker comprising one or more sensors adapted to track movement of the input device in real time for communicating data about the movement of the input device to the logic processor based subsystem.
In one exemplary embodiment, the virtual welding system further comprises a user interface for a user to provide input to the virtual welding system.
In one exemplary embodiment, the logic processor based subsystem is housed within a simulated welding console that is sized and shaped to approximate a welding power source.
In one exemplary embodiment, the logic processor based subsystem implements the virtual sequence controller.
In one exemplary embodiment, the virtual sequence controller comprises a microprocessor, a sequence control program, and a memory. The memory stores one or more state table files.
In one exemplary embodiment, the virtual welding system further comprises a virtual sequence configuration tool. The virtual sequence configuration tool allows a user to modify one of the existing state table files. The virtual sequence configuration tool allows a user to create a new state table file, for storing in the memory.
In one exemplary embodiment, the virtual sequence is defined by at least one of the state table files.
In one exemplary embodiment, a user selects one of the state table files based on a task to be performed. In one exemplary embodiment, the task is production of a complete virtual assembly.
In one exemplary embodiment, the virtual sequence includes a plurality of operations to be performed in order, each operation intended to achieve a particular state.
In one exemplary embodiment, at least one of the operations is a manual operation to be performed by the user. In one exemplary embodiment, the manual operation is one of providing user information, retrieving a part, providing part information, placing a part, securing a part, and providing assembly information.
In one exemplary embodiment, the virtual welding system further comprises a virtual sequence display means. The virtual sequence display means displays information on the manual operation.
In one exemplary embodiment, at least one of the operations is an automatic operation to be performed by the virtual welding system. In one exemplary embodiment, the automatic operation is one of specifying a weld process, specifying a gas type, specifying a gas flow rate, specifying a stick electrode type, specifying a flux cored wire type, specifying a wire feed speed, specifying a voltage level, specifying an amperage, specifying a polarity, and specifying a background environment for the interactive welding environment.
In one exemplary embodiment, at least one of the operations is a manual operation to be performed by the user; and at least one of the operations is an automatic operation to be performed by the virtual welding system.
In one exemplary embodiment, each state is associated with a condition. In one exemplary embodiment, the sequence controller performs an action if the condition is not met. In one exemplary embodiment, the action is waiting a predetermined duration. In one exemplary embodiment, the action is repeating the operation for the state. In one exemplary embodiment, the action is restarting the virtual sequence.
In one exemplary embodiment, the virtual sequence includes a simulated function selected from the group consisting of: a Quality Check function, a Repeat function, a Notify Welder function, an Enter Job function, a Job Report function, a System Check function, a Perform Welding Operation function, and combinations thereof.
In one exemplary embodiment, the displaying means comprises an LCD screen.
In one exemplary embodiment, the displaying means is a face-mounted display. In one exemplary embodiment, the face-mounted display is integrated in a welding helmet. In one exemplary embodiment, the welding helmet includes at least one speaker.
In one exemplary embodiment, the displaying means comprises a first display and a second display. The first display is a face-mounted display, while the second display is not a face-mounted display.
In one exemplary embodiment, the first display and the second display are operable to present different views of the interactive welding environment (at the same time).
In one exemplary embodiment, the displaying means is operable to communicate over a network. In one exemplary embodiment, the network is a wireless network.
In one exemplary embodiment, the input device is a mock welding tool.
In one exemplary embodiment, the input device is operable to communicate over a network. In one exemplary embodiment, the network is a wireless network.
In one exemplary embodiment, the spatial tracker generates a magnetic field. The spatial tracker is operable to determine the location of the one or more sensors within the magnetic field.
In one exemplary embodiment, the virtual welding system further comprises a support structure.
In one exemplary embodiment, the support structure is a stand. In one exemplary embodiment, the stand comprises a base, a vertical post, an adjustable table, and an adjustable arm. In one exemplary embodiment, the welding coupon is operable to be attached to the stand. In one exemplary embodiment, at least one clamp is used to attach the welding coupon to the stand.
In one exemplary embodiment, the support structure is an assembly fixture. In one exemplary embodiment, the assembly fixture holds the sample part.
In one exemplary embodiment, the virtual welding system further comprises means for collecting and storing welding and operational data from the virtual sequence controller.
In one exemplary embodiment, the virtual welding system further comprises means for assigning a quality score to the virtual welding activity.
In the accompanying drawings, which are incorporated in and constitute a part of the specification, various exemplary embodiments of the invention are illustrated, which, together with a general summary of the invention given above and the detailed description given below, serve to exemplify embodiments of this invention.
In an exemplary embodiment, a virtual (simulated) weld station includes a virtual welding job sequencer. The virtual welding job sequencer simulates a real-world welding job sequencer (e.g., Lincoln Electric's Weld Sequencer) in a virtual environment or using one or more virtual components, such as a virtual welder. A real-world welding job sequencer can control the operations of a semi-automatic work cell, including instructing the operator on what to do next and automatically changing certain parameters of the welding cell, including, for example, welding parameters. The real-world welding job sequencer can provide the operator with an array of commands and instructions that relate to welding and non-welding aspects of the operations associated with the welding station.
A virtual welding station, including the virtual sequencer, can include Lincoln Electric's VRTEX® (virtual reality arc welding training machine) and Weld Sequencer technologies integrated into the virtual welding station to create a unique training/testing environment. In the virtual welding station, a welding sequence is used with the VRTEX system for virtual reality training to produce a given assembly. This requires a series of virtual welds on a virtual assembly, which trains the operator on the welding processes, operations, and procedures required to produce a real assembly (individual welds plus complete work instructions). Once the virtual training has been completed, an operator will be prepared for the real-world welding processes and the sequence of events required to create a real assembly. After training with the Virtual Sequencer, the operator now uses the Weld Sequencer to produce real assemblies, and the same welding sequence is repeated. Real welding operations are controlled and monitored by the Weld Sequencer while WeldScore is used to monitor the welding processes. The WeldScore monitor includes, but is not limited to, the embodiments disclosed in U.S. Ser. No. 12/775,729 filed May 7, 2010, now U.S. Pat. No. 8,569,646, which is incorporated herein by reference in its entirety.
In an exemplary embodiment, all training data (from VRTEX and Weld Sequencer) is collected in a production monitoring system. Comprehensive lesson plans (with virtual assembly creation and real assembly creation) are supplied with this technology. This includes a common welding sequence that is used in the virtual (VRTEX) environment and the real Weld Sequencer controller along with a kit of parts for the real welding portion of the training. The final outcome of an individual lesson is a complete report of all training welds/operations, assembly cycle time, and a real part from the kit.
The operational sequence (used in both the virtual and real-world environments) can contain validation checks on parameters like part placement, travel speed (welding duration), average amperage, and other welding variables. Use of these common requirements reinforces the real requirements that are first learned in the virtual weld station and then repeated on real assemblies (while the Virtual Sequencer and Weld Sequencer direct and monitor the operations in the same manner, respectively).
Successful completion of the virtual training may include an overall score for all welding operations, total cycle time limits, total arc time limits, number of arc starts/stops, and other welding variables. Once minimum requirements are achieved (e.g., once a performance score reaches a predetermined threshold), an operator would be approved for the next training step involving real welding.
During real welding, the Weld Sequencer will use the same welding sequence with the same requirements as the Virtual Sequencer for successfully completing a real assembly.
Welding and operational data from the Virtual Sequencer and Weld Sequencer operations can be collected in a common production monitoring system (e.g., Lincoln Electric's CHECKPOINT™ system). Data can be summarized by operator, welding operations (virtual and real), number of assemblies created, quality scores, cycle time metrics, etc.
In an exemplary embodiment, as with a real-world sequencer, a virtual sequencer can automatically select and implement functions of a virtual welding work cell. For example, a function could include a particular virtual weld schedule to be used within the virtual work cell. In other words, the virtual sequencer can select a virtual weld schedule to be used for a particular virtual weld, and modify the settings of the virtual work cell in accordance with the selected virtual weld schedule, automatically for the operator (i.e., without the operator's specific intervention).
Additionally, in the exemplary embodiment, the virtual sequencer may automatically indicate a sequence of operations, steps or different welds that the operator should follow to create a final virtual assembly. In conjunction with the automatic selection of virtual welding schedules, this indicated sequence allows an operator to follow the sequence to create a final virtual assembly, just like the operator would be expected to do in the real world weld station.
Accordingly, since the virtual sequencer sets up the virtual welding equipment and organizes the workflow, just like a real-world sequencer, the virtual sequencer can be used to train operators before they begin to operate in a real-world welding cell or station. In this manner, the chance for error in the real-world welding station is greatly reduced and productivity and quality are improved.
In an exemplary embodiment, a virtual reality welding station (VRWS) comprises a programmable processor-based subsystem, a spatial tracker operatively connected to the programmable processor-based subsystem, at least one mock welding tool capable of being spatially tracked by the spatial tracker, and at least one display device operatively connected to the programmable processor-based subsystem. The VRWS is capable of simulating, in a virtual reality space, operations associated with a real-world welding station. The operations can include various different types of welds and non-welding operations. For welding operations, the VRWS is capable of displaying the simulated weld puddle on the display device in real-time. As used herein, the term “real-time” means perceiving and experiencing in time in a simulated environment in the same way that a user would perceive and experience in a real-world welding scenario. For non-welding operations, such as, for example, operator identification entering/scanning, part identification entering/scanning, part fixturing, fixture manipulation/control, inspections, etc., the system is capable of replicating and/or simulating the steps that the operator needs to complete for the welding operation at a particular welding station. Generally, the VRWS may include any or all of the features and capabilities disclosed in the following patent applications, each of which is incorporated herein by reference in its entirety: U.S. Ser. No. 11/227,349 filed Sep. 15, 2005, now U.S. Pat. No. 8,692,157; U.S. Ser. No. 11/613,652 filed Dec. 20, 2006; U.S. Ser. No. 12/501,257 filed Jul. 10, 2009, now U.S. Pat. No. 8,747,116; U.S. Ser. No. 12/501,263 filed Jul. 10, 2009; U.S. Ser. No. 12/504,870 filed Jul. 17, 2009; U.S. Ser. No. 12/719,053 filed Mar. 8, 2010, now U.S. Pat. No. 8,274,013; U.S. Ser. No. 13/081,725 filed Apr. 7, 2011, now U.S. Pat. No. 8,657,605; U.S. Ser. No. 13/364,489 filed Feb. 2, 2012; U.S. Ser. No. 13/720,300 filed Dec. 19, 2012, now U.S. Pat. No. 8,787,051; U.S. Ser. No. 13/792,288 filed Mar. 11, 2013, now U.S. Pat. No. 8,834,168; U.S. Ser. No. 13/792,309 filed Mar. 11, 2013; U.S. Ser. No. 13/792,294 filed Mar. 11, 2013, now U.S. Pat. No. 8,851,896; U.S. Ser. No. 13/792,280 filed Mar. 11, 2013; and U.S. Ser. No. 13/545,058 filed Jul. 10, 2012.
Referring now to the drawings, which are provided for the purpose of illustrating the various exemplary embodiments disclosed or otherwise suggested herein and not for the purpose of limiting same,
The system 100 may also include various other devices, such as, for example, operational devices 190, that simulate the real-world welding station devices needed for certain operations. As shown in
As mentioned, the support structure 182 may be adjusted to locate the weldment 184 to an orientation or position appropriate for a desired simulated welding operation. To adjust the position of movable upper platform 518 with respect to fixed support base 528, actuators, such as length adjusting members 550, 552, are connected between pintles or pivot elements 540, 542 and pintles or pivot elements 554 and 556, respectively, the latter of which are positioned generally near the center of fixed base 528. In addition, an actuator, such as length adjusting member 560, is connected between fixed support base 528 via pintle or pivot element 556 and pintle or pivot element 562 to movable platform 518. Positioning of length adjusting members 550, 552, and 560 determine the position of movable platform 518 and therefore the location of weldment 184 being carried thereon. Pivot elements 530c, 532c, 530d, 532d, 540, 542, 554, 556, and 562 provide the support structure 182 with 3-degrees of freedom, i.e., capable of moving in the x and z directions, as well as tilting in the x-z plane. The physical size and operational characteristics of the individual length adjusting members 550, 552, 560 act to determine the envelope of motion for the support structure 182. While in one exemplary embodiment, the length adjusting members are hydraulic actuators, they may also represent other actuators such as pneumatic, ball-and-screw actuators, and/or any type of electrically controlled actuators. Any or all of these movable components may be controlled by one or more operational devices 190 from the system 100 of
Other exemplary embodiments may include any combination of one or more of tables 171, arms 173, assembly fixtures 182, coupons 180, and/or sample parts 184 to best simulate the real-world weld station operations being simulated.
In accordance with other exemplary embodiments, the positions of the table 171, the arm 173, and/or the AF 182 may be automatically set by the PSS 110 and/or the VS 186 via preprogrammed settings, or via the WUI 130, the ODD 150, and/or the SDUI 188 as commanded by a user. In such embodiments, the T/S 170 and/or AF 182 typically includes, for example, motors and/or servo-mechanisms, and signal commands from the devices mentioned above activate the motors and/or servo-mechanisms.
In accordance with further exemplary embodiments, the positions of the table 171, the arm 173, the AF 182, the WC 180, and/or the SP 184 are detected by the system 100. In this way, a user does not have to manually input the position information via a user interface. In such embodiments, the T/S 170 and/or the AF 182 include position and orientation detectors and send signal commands to the PPS 110 and/or the VS 186 to provide position and orientation information. The WC 175 and/or the SP 184 may include position detecting sensors (e.g., coiled sensors for detecting magnetic fields). A user is able to see a rendering of the T/S 170 and/or the AF 182 on the ODD 150, the FMDD 140, and/or the SDUI 188 as the adjustment parameters are changed, in accordance with an exemplary embodiment.
In accordance with further exemplary embodiments, the positions of the table 171, the arm 173, the AF 182, the WC 180, and/or the SP 184 are dictated and monitored by the system 100. In various exemplary embodiments, positions of the table 171, the arm 173, the AF 182, the WC 180, and/or the SP 184 may be controlled by operational devices 190 based on commands from the PPS 110 and/or the VS 186. In other exemplary embodiments, a user may be provided with the position information via a user interface and manually position the table 171, the arm 173, the AF 182, the WC 180, and/or the SP 184. Automatic and manual positioning determinations are made based on the real-world weld station operations being simulated.
Various other operational devices 190 may be included in the VRWS in order to simulate the real-world welding station. Control and communication with these devices is designed to mimic the real-world welding environment, using virtual and/or real-world devices and components, similar to the exemplary AF 182 described herein.
As shown in
In accordance with another exemplary embodiment, the sensor(s) 122 may wirelessly interface to the processor tracking unit 126, and the processor tracking unit 126 may wirelessly interface to the PPS 110. In accordance with other exemplary embodiments, other types of spatial trackers 120 may be used in the system 100 including, for example, an accelerometer/gyroscope-based tracker, an optical tracker (active or passive), an infrared tracker, an acoustic tracker, a laser tracker, a radio frequency tracker, an inertial tracker, and augmented reality based tracking systems. Other types of trackers may be possible as well. In some exemplary embodiments, a combination of two or more different tracking technologies can be employed.
The functionality of the various blocks shown in
The system 100 is capable of analyzing and displaying the results of virtual weld station activity. By analyzing the results, it is meant that the system 100 is capable of determining when, during the specified process steps, including welding and non-welding operations, the user has deviated from the acceptable limits of the specified processes. A score may be attributed to the user's performance. In one exemplary embodiment, the score may be a function of missed operations; improperly fixtured parts; and deviation in position, orientation, and speed of the mock welding tool 160 through ranges of tolerances, which may extend from an ideal welding pass to marginal or unacceptable welding activity, missed quality checks, or any other operations associated with the selected weld station.
Visual cues functionality 719 can provide immediate feedback to the user by displaying overlaid colors and indicators on the FMDD 140, the ODD 150, and/or the SDUI 188. Visual cues may be provided for each, or portions of each, of the operations associated with the selected weld station.
As shown in
As shown in
Alternatively or in combination, moreover, dedicated cabling 940 may be used to interconnect the sequencer 910 with some or all of the welding system components 950, such as power source control cable 941, wire feeder cable 942, travel carriage cable 943, gas control cable 944, coolant solenoid control cable 945, fume extractor control cable 946, and/or a robot or PLC cable 947, wherein the interfacing via the network 930 (and the network interface 914) and/or the cables 940 (and the interfaces 916) provides for exchange of data or other information, signaling, messages, etc., by which sequence control inputs 921 can be obtained from one or more system components 950 and sequence control outputs 923 can be provided to one or more of the components 950.
In one exemplary implementation, the processor 912 is a microprocessor, microcontroller, DSP, programmable logic device, etc., although any form of computational processing component may be employed within the scope of the general inventive concepts, whether hardware, software, firmware, or combinations thereof, and which may be a single device or may be implemented in multiple components. It is further noted that the controller 910 may be integrated into one of the system components 950, such as the power source 951, the wire feeder 952, etc., wherein the user interface 918 may include one or more display devices, user control knobs, switches, keypads, etc., and may interface a user with aspects of the system component 950 as well as those of the sequencer controller 910. The controller 910, moreover, includes a memory 920, which may be any suitable data store, integrated or distributed, which is operatively coupled with the processor 912 to allow access by the processor 912 to files, programs, instructions, routines, data, etc. stored in the memory 920. It is noted that while the processing component 912 and the memory 920 may be integrated in one component, such as a unitary circuit board, these elements may be separately provided or distributed across multiple system components to provide a controller 910 within the scope of the general inventive concepts. The memory 920 stores the sequence control program 922 and the state table files 924, 926, 928 providing access thereto by the processor 912. The memory 920 may also include a sequence configuration tool 929, such as a software program that may also be executed by the processor 912. States may be used to define various stages of the assembly process, including semi-automatic or manual states expected at the end of individual operations (e.g., part in fixture, weld time, etc.) and/or automatic states occurring during an operation that are automatically controlled (e.g., changes in the welding parameters that occur during a single weld).
In an exemplary embodiment, the exemplary power source 951 and other components are state table based, wherein certain of the controller outputs 923 are provided as inputs 996 to the components. In operation, controller 910 provides a desired output level or levels as one or more controller outputs 923 and to the various virtual components, which employ the output level(s) to define and regulate the desired state of the component. For example, the controller 910 may regulate a particular welding state, a particular fixture state, etc. The microprocessor 912 executes a standard routine in accordance with the sequence control program, which simulates all of the operations (and their associated parameters) associated with the specified weld station. The controller can read each state, regulating the instruction(s) associated with the current state, and determining whether a series of conditional checks is true and if so, branching to the next state (or operation).
In some exemplary embodiments, certain checks can be made to ensure that the sequence is ready to advance to the next operation.
Referring to
It is noted that the sequence control program 922 is fairly generic with respect to interoperation with the selected state table file 924, wherein the hard coded instructions and routines of program 922 are those appropriate to interface with and control the various system components and to obtain inputs therefrom, whereas the specific logic of a given virtual sequence is provided by the state table file entries and the elements thereof. In this manner, the embodiments essentially decouple the virtual sequence logic in the table files 924, 926, 928 from the hard coded executable instructions and routines of the control program 922. Consequently, reconfiguration of an entire virtual system can be accomplished without recompiling and installing software or firmware and without hardware modification (e.g., no need to modify or recompile the sequence control program 922). Instead, a state table file 924, 926, 928 can be constructed and simply stored in memory 920 (or in any suitable data store accessible by the processing component 912) in order to implement a new virtual operational sequence. Furthermore, existing state table files 924, 926, 928 can be used as a starting point or template, with state table file entries being changed, added, or removed therefrom to implement new or modified virtual operations using the sequence controller 910. If sequencer state table files 924, 926, 928 are created outside of memory 920, moreover, such files may be easily downloaded to a data store accessible by the processing component 912. In this regard, virtual system operators or service personnel may configure the sequence controller 910 and hence an entire virtual system from a remote location, according to the general inventive concepts, where the state table files 924, 926, 928 can be downloaded via the network 930 and other networks operationally connected thereto, including LANS, WANS, Internet connections, etc. Furthermore, it is noted that the elements of state table file entries can be any tags, strings, pointers, addresses, etc. that provide an indication of instructions, routines, numeric values, states, or actions that can be understood by processor 912 when executing the sequence control program 922. Thus, sequence configuration tool 929 (
An exemplary embodiment of a virtual sequence including various welder (operator) and non-welder operations is diagrammatically represented in
Accordingly, as noted above, the sequencing and scheduling of virtual welding operations is completed, or otherwise facilitated, by the sequencer, simulating the real-world welding station. Other operations automatically performed by the virtual sequencer could include, for example, changing the position of a fixture, actuating operational devices, displaying visual aids, controlling audible and visual indicators, verifying certain checks, etc. Other operations directed by the virtual sequencer for the welder operator could include, for example, retrieving a sample part, entering a sample part ID, placing the sample part in a fixture, actuating fixture clamps, performing a test, etc.
The virtual sequencer may select and implement a new function, such as the selection and implementation of weld schedules A, B and C shown in
Still further, various combinations of these methods, or any other effective method, may be implemented, as long as the end effect is to simulate the real-world sequence and environment in the real-world weld station. By way of example, and not by way of limitation, the following real-world functions may be simulated in the virtual weld station and included in the virtual sequence.
A Quality Check function requires that a quality check of the weld be performed (either during welding or after the weld is completed) before allowing the job sequence to continue. The quality check can monitor various virtual welding parameters and can pause the welding operation and alert the operator if an abnormality is detected. An example of a welding parameter measurable by this function would be arc data.
Another exemplary function is a Repeat function. This function would instruct the operator to repeat a particular virtual weld or weld sequence. An example of the use of this function includes when the Quality Check function shows an abnormality, or when multiple instances of the same weld are required.
Another exemplary function is a Notify Welder function, which communicates information to the welder. This function would display information, give an audible signal, or communicate with the welder by some other means. Examples of use of this function include an indication to the operator that he is free to begin virtual welding or an indication that the operator should check some portion of the welded part for quality purposes.
Another exemplary function is an Enter Job Information function. This function will require the welder to enter information, such as the sample part serial number, a personal ID number, or other special conditions before the virtual sequencer can continue. This information could also be read from a sample part or inventory tag itself through RFID, bar code scanning, or the like. The virtual sequencer could then utilize the entered information for the virtual welding operations. An example of the use of this function would be as a predicate to the entire virtual welding operation, so as to indicate to the virtual sequencer which schedules and/or sequences should be selected.
Another exemplary function is a Job Report function. This function will create a report on the virtual welding job, which could include information such as: the number of virtual welds performed, total and individual arc timing, sequence interruptions, errors, faults, wire usage, arc data, and the like. An example of the use of this function would be to report to a manufacturing quality department on the efficiency and quality of the virtual processes.
Another exemplary function is a System Check function. This function will establish whether the virtual welding job can continue and could monitor such parameters as: wire supply, gas supply, time left in the shift (as compared to the required time to finish the job), and the like. The function could then determine whether the parameters indicate that there is enough time and/or material for the virtual welding job to continue. This function simulates efforts to prevent down-time due to material depletion and would prevent work-in-process assemblies from being delayed, which can lead to quality problems due to thermal and scheduling issues.
Further, as mentioned above, the virtual sequencer may select and implement a new function, based upon various variables or inputs. These variables and inputs are not particularly limited and can even be another function. For example, another exemplary function compatible with the virtual sequencer is a Perform Welding Operation function. This function is designed to detect the virtual welding performed by the operator and to report that welding so that the virtual sequencer can determine whether to proceed with further operations. For example, this function can operate by starting when the operator pulls the trigger to start the virtual welding operation and finishing when the operator releases the trigger after the virtual welding is complete, or after a predetermined period of time has lapsed. This function could end when the trigger is released or it could be configured to automatically turn off after a period of time, a quantity of wire, or an amount of energy is delivered. This function may be used to determine when to select a new function, such as a new weld schedule, as discussed above.
Still further, various semi-automatic and/or robotic work cells can be integrated together on a single network, and the sequencing of virtual welding steps at a single work-cell can be fully integrated into a virtual complete production schedule, which itself can be modified as needed to track variations in the virtual production schedule. Sequencing and/or scheduling information can also be stored in a database, be stored by date as archival information, and be accessed to provide various virtual production reports.
The exemplary virtual weld station embodiments described above and in the figures, including the exemplary virtual sequencer embodiments, can be used for a variety of training and operational optimization techniques, including lesson plans based on the following procedures. Production monitoring data may be gathered, compared, and manipulated in one or more common or separate databases from both virtual and real-world operations.
For example,
As can be seen, the virtual weld station and virtual sequencer can be used to gather and store a wealth of data that can be used to calculate and ultimately increase productivity. This data can be stored in a data “cloud” and then accessed for analysis and manipulation. The virtual sequencer can monitor and instruct the user to prevent missing welds, missing welding steps, missing other operations, excessive use of welding consumables, and other undesirable activities. The virtual sequencer can also be used to train users in the proper time for accomplishing or completing various welding or non-welding steps on a particular assembly. The virtual sequencer also leads to a consistent process order for making a particular weldment assembly. The virtual sequencer also reduces training time and scrap. The number of times each user had to be trained on certain assemblies to flag problematic parts for a particular user can also be determined. All of these items lead to increased productivity and less waste of time and resources.
While the general inventive concepts have been illustrated by the description of various embodiments thereof, and while the embodiments have been described in some detail, it is not the intention of the applicant to restrict, or in any way limit, the scope of the appended claims to such detail. Additional advantages and modifications will be readily apparent to those skilled in the art. Therefore, the invention in its broader aspects is not limited to the specific details, representative apparatus and methods, and illustrative examples shown and described. Accordingly, departures may be made from such details without departing from the spirit or scope of the applicant's general inventive concepts.
The present application is being filed as a non-provisional patent application claiming priority/benefit under 35 U.S.C. § 119(e) from U.S. Provisional Patent Application No. 61/900,136 filed on Nov. 5, 2013, the entire disclosure of which is incorporated herein by reference.
Number | Name | Date | Kind |
---|---|---|---|
317063 | Wittenstrom | May 1885 | A |
428459 | Coffin | May 1890 | A |
483428 | Goppin | Sep 1892 | A |
1159119 | Springer | Nov 1915 | A |
1288529 | Cave | Dec 1918 | A |
2326944 | Holand et al. | Aug 1943 | A |
2333192 | Mobert | Nov 1943 | A |
D140630 | Garibay | Mar 1945 | S |
D142377 | Dunn | Sep 1945 | S |
D152049 | Welch | Dec 1948 | S |
2681969 | Burke | Jun 1954 | A |
D174208 | Abidgaard | Mar 1955 | S |
2728838 | Barnes | Dec 1955 | A |
D176942 | Cross | Feb 1956 | S |
2894086 | Rizer | Jul 1959 | A |
3035155 | Hawk | May 1962 | A |
3059519 | Stanton | Oct 1962 | A |
3356823 | Waters et al. | Dec 1967 | A |
3555239 | Kerth | Jan 1971 | A |
3562927 | Moskowitz | Feb 1971 | A |
3562928 | Schmitt | Feb 1971 | A |
3621177 | McPherson et al. | Nov 1971 | A |
3654421 | Streetman et al. | Apr 1972 | A |
3690020 | McBratnie | Sep 1972 | A |
3739140 | Rotilio | Jun 1973 | A |
3866011 | Cole | Feb 1975 | A |
3867769 | Schow et al. | Feb 1975 | A |
3904845 | Minkiewicz | Sep 1975 | A |
3988913 | Metcalfe et al. | Nov 1976 | A |
D243459 | Bliss | Feb 1977 | S |
4024371 | Drake | May 1977 | A |
4041615 | Whitehill | Aug 1977 | A |
D247421 | Driscoll | Mar 1978 | S |
4124944 | Blair | Nov 1978 | A |
4132014 | Schow | Jan 1979 | A |
4237365 | Lambros et al. | Dec 1980 | A |
4280041 | Kiessling et al. | Jul 1981 | A |
4280137 | Ashida et al. | Jul 1981 | A |
4314125 | Nakamura | Feb 1982 | A |
4354087 | Osterlitz | Oct 1982 | A |
4359622 | Dostoomian et al. | Nov 1982 | A |
4375026 | Kearney | Feb 1983 | A |
4410787 | Kremers et al. | Oct 1983 | A |
4429266 | Traadt | Jan 1984 | A |
4452589 | Denison | Jun 1984 | A |
D275292 | Bouman | Aug 1984 | S |
D277761 | Korovin et al. | Feb 1985 | S |
4525619 | Ide et al. | Jun 1985 | A |
D280329 | Bouman | Aug 1985 | S |
4555614 | Morris et al. | Nov 1985 | A |
4611111 | Baheti et al. | Sep 1986 | A |
4616326 | Meier et al. | Oct 1986 | A |
4629860 | Lindborn | Dec 1986 | A |
4677277 | Cook et al. | Jun 1987 | A |
4680014 | Paton et al. | Jul 1987 | A |
4689021 | Vasiliev et al. | Aug 1987 | A |
4707582 | Beyer | Nov 1987 | A |
4716273 | Paton et al. | Dec 1987 | A |
D297704 | Bulow | Sep 1988 | S |
4812614 | Wang et al. | Mar 1989 | A |
4867685 | Brush et al. | Sep 1989 | A |
4877940 | Bangs et al. | Oct 1989 | A |
4897521 | Burr | Jan 1990 | A |
4907973 | Hon | Mar 1990 | A |
4931018 | Herbst et al. | Jun 1990 | A |
4973814 | Kojima | Nov 1990 | A |
4998050 | Nishiyama et al. | Mar 1991 | A |
5034593 | Rice et al. | Jul 1991 | A |
5061841 | Richardson | Oct 1991 | A |
5089914 | Prescott | Feb 1992 | A |
5192845 | Kirmsse et al. | Mar 1993 | A |
5206472 | Myking et al. | Apr 1993 | A |
5266930 | Ichikawa et al. | Nov 1993 | A |
5283418 | Bellows et al. | Feb 1994 | A |
5285916 | Ross | Feb 1994 | A |
5288968 | Cecil | Feb 1994 | A |
5305183 | Teynor | Apr 1994 | A |
5320538 | Baum | Jun 1994 | A |
5337611 | Fleming et al. | Aug 1994 | A |
5360156 | Ishizaka et al. | Nov 1994 | A |
5360960 | Shirk | Nov 1994 | A |
5362962 | Barborak et al. | Nov 1994 | A |
5370071 | Ackermann | Dec 1994 | A |
D359296 | Witherspoon | Jun 1995 | S |
5424634 | Goldfarb et al. | Jun 1995 | A |
5436638 | Bolas et al. | Jul 1995 | A |
5464957 | Kidwell et al. | Nov 1995 | A |
5465037 | Huissoon et al. | Nov 1995 | A |
D365583 | Viken | Dec 1995 | S |
5493093 | Cecil | Feb 1996 | A |
5547052 | Latshaw | Aug 1996 | A |
5562843 | Yasumoto | Oct 1996 | A |
5662822 | Tada et al. | Sep 1997 | A |
5670071 | Tomoyuki et al. | Sep 1997 | A |
5676503 | Lang | Oct 1997 | A |
5676867 | Allen | Oct 1997 | A |
5708253 | Bloch et al. | Jan 1998 | A |
5710405 | Solomon et al. | Jan 1998 | A |
5719369 | White et al. | Feb 1998 | A |
D392534 | Degan et al. | Mar 1998 | S |
5728991 | Takada et al. | Mar 1998 | A |
5751258 | Fergason et al. | May 1998 | A |
D395296 | Kaya et al. | Jun 1998 | S |
5774110 | Edelson | Jun 1998 | A |
D396238 | Schmitt | Jul 1998 | S |
5781258 | Debral et al. | Jul 1998 | A |
5823785 | Matherne | Oct 1998 | A |
5835077 | Dao et al. | Nov 1998 | A |
5835277 | Hegg | Nov 1998 | A |
5845053 | Watanabe et al. | Dec 1998 | A |
5877777 | Colwell | Mar 1999 | A |
5963891 | Walker et al. | Oct 1999 | A |
6008470 | Zhang et al. | Dec 1999 | A |
6037948 | Liepa | Mar 2000 | A |
6049059 | Kim | Apr 2000 | A |
6051805 | Vaidya et al. | Apr 2000 | A |
6114645 | Burgess | Sep 2000 | A |
6155475 | Ekelof et al. | Dec 2000 | A |
6155928 | Burdick | Dec 2000 | A |
6230327 | Briand et al. | May 2001 | B1 |
6236013 | Delzenne | May 2001 | B1 |
6236017 | Smartt et al. | May 2001 | B1 |
6242711 | Cooper | Jun 2001 | B1 |
6271500 | Hirayama et al. | Aug 2001 | B1 |
6301763 | Pryor | Oct 2001 | B1 |
6330938 | Herve et al. | Dec 2001 | B1 |
6330966 | Eissfeller | Dec 2001 | B1 |
6331848 | Stove et al. | Dec 2001 | B1 |
D456428 | Aronson et al. | Apr 2002 | S |
6373465 | Jolly et al. | Apr 2002 | B2 |
6377011 | Ben-Ur | Apr 2002 | B1 |
D456828 | Aronson et al. | May 2002 | S |
6396232 | Haanpaa et al. | May 2002 | B2 |
D461383 | Blackburn | Aug 2002 | S |
6427352 | Pfeiffer et al. | Aug 2002 | B1 |
6441342 | Hsu | Aug 2002 | B1 |
6445964 | White et al. | Sep 2002 | B1 |
6492618 | Flood et al. | Dec 2002 | B1 |
6506997 | Matsuyama | Jan 2003 | B2 |
6552303 | Blankenship et al. | Apr 2003 | B1 |
6560029 | Dobbie et al. | May 2003 | B1 |
6563489 | Latypov et al. | May 2003 | B1 |
6568846 | Cote et al. | May 2003 | B1 |
D475726 | Suga et al. | Jun 2003 | S |
6572379 | Sears et al. | Jun 2003 | B1 |
6583386 | Ivkovich | Jun 2003 | B1 |
6593540 | Baker et al. | Jul 2003 | B1 |
6621049 | Suzuki | Sep 2003 | B2 |
6624388 | Blankenship et al. | Sep 2003 | B1 |
D482171 | Vui et al. | Nov 2003 | S |
6647288 | Madill et al. | Nov 2003 | B2 |
6649858 | Wakeman | Nov 2003 | B2 |
6655645 | Lu et al. | Dec 2003 | B1 |
6660965 | Simpson | Dec 2003 | B2 |
6679702 | Rau | Jan 2004 | B1 |
6697701 | Hillen et al. | Feb 2004 | B2 |
6697770 | Nagetgaal | Feb 2004 | B1 |
6703585 | Suzuki | Mar 2004 | B2 |
6708835 | Lemelson | Mar 2004 | B1 |
6710298 | Eriksson | Mar 2004 | B2 |
6710299 | Blankenship et al. | Mar 2004 | B2 |
6715502 | Rome et al. | Apr 2004 | B1 |
D490347 | Meyers | May 2004 | S |
6730875 | Hsu | May 2004 | B2 |
6734393 | Friedl et al. | May 2004 | B1 |
6744011 | Hu et al. | Jun 2004 | B1 |
6750428 | Okamoto et al. | Jun 2004 | B2 |
6765584 | Matthias | Jul 2004 | B1 |
6772802 | Few | Aug 2004 | B2 |
6788442 | Potin et al. | Sep 2004 | B1 |
6795778 | Dodge et al. | Sep 2004 | B2 |
6798974 | Nakano et al. | Sep 2004 | B1 |
6857533 | Hartman et al. | Feb 2005 | B1 |
6858817 | Blankenship et al. | Feb 2005 | B2 |
6865926 | O'Brien et al. | Mar 2005 | B2 |
D504449 | Butchko | Apr 2005 | S |
6920371 | Hillen et al. | Jul 2005 | B2 |
6940039 | Blankenship et al. | Sep 2005 | B2 |
6982700 | Rosenberg et al. | Jan 2006 | B2 |
7021937 | Simpson et al. | Apr 2006 | B2 |
7024342 | Waite | Apr 2006 | B1 |
7110859 | Shibata et al. | Sep 2006 | B2 |
7126078 | Demers et al. | Oct 2006 | B2 |
7132617 | Lee et al. | Nov 2006 | B2 |
7170032 | Flood | Jan 2007 | B2 |
7194447 | Harvey | Mar 2007 | B2 |
7233837 | Swain et al. | Jun 2007 | B2 |
7247814 | Ott | Jul 2007 | B2 |
D555446 | Picaza Ibarrondo | Nov 2007 | S |
7298535 | Kuutti | Nov 2007 | B2 |
7315241 | Daily et al. | Jan 2008 | B1 |
D561973 | Kinsley et al. | Feb 2008 | S |
7353715 | Myers | Apr 2008 | B2 |
7363137 | Brant et al. | Apr 2008 | B2 |
7375304 | Kainec et al. | May 2008 | B2 |
7381923 | Gordon et al. | Jun 2008 | B2 |
7414595 | Muffler | Aug 2008 | B1 |
7465230 | LeMay et al. | Dec 2008 | B2 |
7474760 | Hertzman et al. | Jan 2009 | B2 |
7478108 | Townsend et al. | Jan 2009 | B2 |
7487018 | Afshar et al. | Feb 2009 | B2 |
D587975 | Aronson et al. | Mar 2009 | S |
7516022 | Lee et al. | Apr 2009 | B2 |
7580821 | Schirm | Aug 2009 | B2 |
D602057 | Osicki | Oct 2009 | S |
7621171 | O'Brien | Nov 2009 | B2 |
D606102 | Bender et al. | Dec 2009 | S |
7643890 | Hillen et al. | Jan 2010 | B1 |
7687741 | Kainec et al. | Mar 2010 | B2 |
D614217 | Peters et al. | Apr 2010 | S |
D615573 | Peters et al. | May 2010 | S |
7817162 | Bolick | Oct 2010 | B2 |
7853645 | Brown et al. | Dec 2010 | B2 |
D631074 | Peters et al. | Jan 2011 | S |
7874921 | Baszucki et al. | Jan 2011 | B2 |
7970172 | Hendrickson | Jun 2011 | B1 |
7972129 | O'Donoghue | Jul 2011 | B2 |
7991587 | Ihn | Aug 2011 | B2 |
8069017 | Hallquist | Nov 2011 | B2 |
8224881 | Spear et al. | Jul 2012 | B1 |
8248324 | Nangle | Aug 2012 | B2 |
8265886 | Bisiaux et al. | Sep 2012 | B2 |
8274013 | Wallace | Sep 2012 | B2 |
8287522 | Moses et al. | Oct 2012 | B2 |
8301286 | Babu | Oct 2012 | B2 |
8316462 | Becker et al. | Nov 2012 | B2 |
8363048 | Gering | Jan 2013 | B2 |
8365603 | Lesage et al. | Feb 2013 | B2 |
8512043 | Choquet | Aug 2013 | B2 |
8569646 | Daniel et al. | Oct 2013 | B2 |
8592723 | Davidson et al. | Nov 2013 | B2 |
8657605 | Wallace et al. | Feb 2014 | B2 |
8692157 | Daniel et al. | Apr 2014 | B2 |
8747116 | Zboray et al. | Jun 2014 | B2 |
8777629 | Kreindl et al. | Jul 2014 | B2 |
8787051 | Chang et al. | Jul 2014 | B2 |
8834168 | Peters et al. | Sep 2014 | B2 |
8851896 | Wallace et al. | Oct 2014 | B2 |
8911237 | Postlewaite et al. | Dec 2014 | B2 |
8915740 | Zboray et al. | Dec 2014 | B2 |
RE45398 | Wallace | Mar 2015 | E |
8992226 | Leach et al. | Mar 2015 | B1 |
9011154 | Kindig et al. | Apr 2015 | B2 |
9293056 | Zboray | Mar 2016 | B2 |
9293057 | Zboray | Mar 2016 | B2 |
9468988 | Daniel | Oct 2016 | B2 |
9779635 | Zboray et al. | Oct 2017 | B2 |
20010045808 | Heitmann et al. | Nov 2001 | A1 |
20010052893 | Jolly et al. | Dec 2001 | A1 |
20020032553 | Simpson et al. | Mar 2002 | A1 |
20020039138 | Edelson et al. | Apr 2002 | A1 |
20020046999 | Veikkolainen et al. | Apr 2002 | A1 |
20020050984 | Roberts | May 2002 | A1 |
20020054211 | Edelson et al. | May 2002 | A1 |
20020085843 | Mann | Jul 2002 | A1 |
20020094026 | Edelson | Jul 2002 | A1 |
20020098468 | Barrett et al. | Jul 2002 | A1 |
20020111557 | Madill et al. | Aug 2002 | A1 |
20020132213 | Grant et al. | Sep 2002 | A1 |
20020135695 | Edelson et al. | Sep 2002 | A1 |
20020175897 | Pelosi | Nov 2002 | A1 |
20020178038 | Grybas | Nov 2002 | A1 |
20020180761 | Edelson et al. | Dec 2002 | A1 |
20030000931 | Ueda et al. | Jan 2003 | A1 |
20030002740 | Melikian | Jan 2003 | A1 |
20030023592 | Modica et al. | Jan 2003 | A1 |
20030025884 | Hamana et al. | Feb 2003 | A1 |
20030075534 | Okamoto | Apr 2003 | A1 |
20030106787 | Santilli | Jun 2003 | A1 |
20030111451 | Blankenship et al. | Jul 2003 | A1 |
20030172032 | Choquet | Sep 2003 | A1 |
20030186199 | McCool | Oct 2003 | A1 |
20030228560 | Seat et al. | Dec 2003 | A1 |
20030234885 | Pilu | Dec 2003 | A1 |
20040009462 | McElwrath | Jan 2004 | A1 |
20040020907 | Zauner et al. | Feb 2004 | A1 |
20040035990 | Ackeret | Feb 2004 | A1 |
20040050824 | Samler | Mar 2004 | A1 |
20040088071 | Kouno | May 2004 | A1 |
20040140301 | Blankenship et al. | Jul 2004 | A1 |
20040167788 | Birimisa et al. | Aug 2004 | A1 |
20040181382 | Hu | Sep 2004 | A1 |
20050007504 | Fergason | Jan 2005 | A1 |
20050017152 | Fergason | Jan 2005 | A1 |
20050029326 | Henrikson | Feb 2005 | A1 |
20050046584 | Breed | Mar 2005 | A1 |
20050050168 | Wen et al. | Mar 2005 | A1 |
20050101767 | Clapham et al. | May 2005 | A1 |
20050103766 | Iizuka et al. | May 2005 | A1 |
20050103767 | Kainec et al. | May 2005 | A1 |
20050109735 | Flood | May 2005 | A1 |
20050128186 | Shahoain et al. | Jun 2005 | A1 |
20050133488 | Blankenship et al. | Jun 2005 | A1 |
20050159840 | Lin et al. | Jul 2005 | A1 |
20050163364 | Beck | Jul 2005 | A1 |
20050189336 | Ku | Sep 2005 | A1 |
20050199602 | Kaddani et al. | Sep 2005 | A1 |
20050230573 | Ligertwood | Oct 2005 | A1 |
20050233295 | Chiszar et al. | Oct 2005 | A1 |
20050252897 | Hsu et al. | Nov 2005 | A1 |
20050275913 | Vesely et al. | Dec 2005 | A1 |
20050275914 | Vesely et al. | Dec 2005 | A1 |
20060014130 | Weinstein | Jan 2006 | A1 |
20060076321 | Maev | Apr 2006 | A1 |
20060136183 | Choquet | Jun 2006 | A1 |
20060149502 | Tseng et al. | Jun 2006 | A1 |
20060154226 | Maxfield | Jul 2006 | A1 |
20060163227 | Hillen et al. | Jul 2006 | A1 |
20060163228 | Daniel | Jul 2006 | A1 |
20060166174 | Rowe | Jul 2006 | A1 |
20060169682 | Kainec et al. | Aug 2006 | A1 |
20060173619 | Brant et al. | Aug 2006 | A1 |
20060189260 | Sung | Aug 2006 | A1 |
20060207980 | Jocovetty et al. | Sep 2006 | A1 |
20060213892 | Ott | Sep 2006 | A1 |
20060214924 | Kawamoto et al. | Sep 2006 | A1 |
20060226137 | Huismann et al. | Oct 2006 | A1 |
20060241432 | Herline et al. | Oct 2006 | A1 |
20060252543 | Van Noland et al. | Nov 2006 | A1 |
20060258447 | Baszucki et al. | Nov 2006 | A1 |
20070034611 | Drius et al. | Feb 2007 | A1 |
20070038400 | Lee et al. | Feb 2007 | A1 |
20070045488 | Shin | Mar 2007 | A1 |
20070088536 | Ishikawa | Apr 2007 | A1 |
20070112889 | Cook et al. | May 2007 | A1 |
20070188606 | Atkinson et al. | Aug 2007 | A1 |
20070198117 | Wajhuddin | Aug 2007 | A1 |
20070211026 | Ohta et al. | Sep 2007 | A1 |
20070221797 | Thompson et al. | Sep 2007 | A1 |
20070256503 | Wong et al. | Nov 2007 | A1 |
20070264620 | Maddix et al. | Nov 2007 | A1 |
20070277611 | Portzgen et al. | Dec 2007 | A1 |
20070291035 | Vesely et al. | Dec 2007 | A1 |
20080021311 | Goldbach | Jan 2008 | A1 |
20080027594 | Jump et al. | Jan 2008 | A1 |
20080031774 | Magnant et al. | Feb 2008 | A1 |
20080038702 | Choquet | Feb 2008 | A1 |
20080061049 | Albrecht | Mar 2008 | A1 |
20080078811 | Hillen et al. | Apr 2008 | A1 |
20080078812 | Peters et al. | Apr 2008 | A1 |
20080107345 | Melikian | May 2008 | A1 |
20080117203 | Gering | May 2008 | A1 |
20080120075 | Wloka | May 2008 | A1 |
20080128398 | Schneider | Jun 2008 | A1 |
20080135533 | Ertmer et al. | Jun 2008 | A1 |
20080140815 | Brant et al. | Jun 2008 | A1 |
20080149686 | Daniel et al. | Jun 2008 | A1 |
20080203075 | Feldhausen et al. | Aug 2008 | A1 |
20080233550 | Solomon | Sep 2008 | A1 |
20080249998 | Dettinger et al. | Oct 2008 | A1 |
20080303197 | Paquette et al. | Dec 2008 | A1 |
20080314887 | Stoger et al. | Dec 2008 | A1 |
20090015585 | Klusza | Jan 2009 | A1 |
20090021514 | Klusza | Jan 2009 | A1 |
20090045183 | Artelsmair et al. | Feb 2009 | A1 |
20090050612 | Serruys et al. | Feb 2009 | A1 |
20090057286 | Ihara et al. | Mar 2009 | A1 |
20090109128 | Nangle | Apr 2009 | A1 |
20090152251 | Dantinne et al. | Jun 2009 | A1 |
20090173726 | Davidson et al. | Jul 2009 | A1 |
20090184098 | Daniel et al. | Jul 2009 | A1 |
20090197228 | Afshar et al. | Aug 2009 | A1 |
20090200281 | Hampton | Aug 2009 | A1 |
20090200282 | Hampton | Aug 2009 | A1 |
20090231423 | Becker et al. | Sep 2009 | A1 |
20090257655 | Melikian | Oct 2009 | A1 |
20090259444 | Dolansky et al. | Oct 2009 | A1 |
20090298024 | Batzier et al. | Dec 2009 | A1 |
20090312958 | Dai et al. | Dec 2009 | A1 |
20090325699 | Delgiannidis | Dec 2009 | A1 |
20100012017 | Miller | Jan 2010 | A1 |
20100012637 | Jaeger | Jan 2010 | A1 |
20100021051 | Melikian | Jan 2010 | A1 |
20100048273 | Wallace et al. | Feb 2010 | A1 |
20100062405 | Zboray et al. | Mar 2010 | A1 |
20100062406 | Zboray | Mar 2010 | A1 |
20100096373 | Hillen et al. | Apr 2010 | A1 |
20100121472 | Babu et al. | May 2010 | A1 |
20100133247 | Mazumder et al. | Jun 2010 | A1 |
20100133250 | Sardy et al. | Jun 2010 | A1 |
20100176107 | Bong | Jul 2010 | A1 |
20100201803 | Melikian | Aug 2010 | A1 |
20100224610 | Wallace | Sep 2010 | A1 |
20100276396 | Cooper | Nov 2010 | A1 |
20100299101 | Shimada et al. | Nov 2010 | A1 |
20100307249 | Lesage et al. | Dec 2010 | A1 |
20100314362 | Albrecht | Dec 2010 | A1 |
20110006047 | Penrod | Jan 2011 | A1 |
20110048273 | Colon | Mar 2011 | A1 |
20110052046 | Melikian | Mar 2011 | A1 |
20110060568 | Goldfine | Mar 2011 | A1 |
20110082728 | Melikian | Apr 2011 | A1 |
20110091846 | Kreindl | Apr 2011 | A1 |
20110011752 | Conrardy | May 2011 | A1 |
20110114615 | Daniel et al. | May 2011 | A1 |
20110116076 | Chantry et al. | May 2011 | A1 |
20110117527 | Conrardy | May 2011 | A1 |
20110122495 | Togashi | May 2011 | A1 |
20110183304 | Wallace et al. | Jul 2011 | A1 |
20110187746 | Suto | Aug 2011 | A1 |
20110187859 | Edelson | Aug 2011 | A1 |
20110229864 | Short et al. | Sep 2011 | A1 |
20110248864 | Becker et al. | Oct 2011 | A1 |
20110316516 | Schiefermuller et al. | Dec 2011 | A1 |
20120189993 | Kinding et al. | Jul 2012 | A1 |
20120291172 | Wills et al. | Nov 2012 | A1 |
20120298640 | Conrardy | Nov 2012 | A1 |
20130026150 | Chantry et al. | Jan 2013 | A1 |
20130040270 | Albrecht | Feb 2013 | A1 |
20130049976 | Maggiore | Feb 2013 | A1 |
20130075380 | Albrech et al. | Mar 2013 | A1 |
20130119040 | Suraba et al. | May 2013 | A1 |
20130170259 | Chang et al. | Jul 2013 | A1 |
20130182070 | Peters et al. | Jul 2013 | A1 |
20130183645 | Wallace et al. | Jul 2013 | A1 |
20130189657 | Wallace et al. | Jul 2013 | A1 |
20130189658 | Peters et al. | Jul 2013 | A1 |
20130203029 | Choquet | Aug 2013 | A1 |
20130206740 | Pfeifer et al. | Aug 2013 | A1 |
20130209976 | Postlewaite et al. | Aug 2013 | A1 |
20130230832 | Peters et al. | Sep 2013 | A1 |
20130231980 | Elgart | Sep 2013 | A1 |
20130252214 | Choquet | Sep 2013 | A1 |
20130260261 | Kotani et al. | Oct 2013 | A1 |
20130288211 | Patterson et al. | Oct 2013 | A1 |
20130327747 | Dantinne | Dec 2013 | A1 |
20130342678 | McAninch et al. | Dec 2013 | A1 |
20140038143 | Daniel | Feb 2014 | A1 |
20140042136 | Daniel et al. | Feb 2014 | A1 |
20140065584 | Wallace et al. | Mar 2014 | A1 |
20140134580 | Becker | May 2014 | A1 |
20140263224 | Becker | Sep 2014 | A1 |
20140272835 | Becker | Sep 2014 | A1 |
20140272836 | Becker | Sep 2014 | A1 |
20140272837 | Becker | Sep 2014 | A1 |
20140272838 | Becker | Sep 2014 | A1 |
20140312020 | Daniel | Oct 2014 | A1 |
20140346158 | Matthews | Nov 2014 | A1 |
20150056584 | Boulware | Feb 2015 | A1 |
20150056585 | Boulware | Feb 2015 | A1 |
20150056586 | Penrod | Feb 2015 | A1 |
20150072323 | Postlethwaite | Mar 2015 | A1 |
20150194073 | Becker et al. | Jul 2015 | A1 |
20150235565 | Postlethwaite | Aug 2015 | A1 |
20150248845 | Postlethwaite | Sep 2015 | A1 |
20160093233 | Boulware | Mar 2016 | A1 |
20160125763 | Becker | May 2016 | A1 |
20160203734 | Boulware | Jul 2016 | A1 |
20160203735 | Boulware | Jul 2016 | A1 |
20160331592 | Stewart | Nov 2016 | A1 |
20160343268 | Postlethwaite | Nov 2016 | A1 |
20170053557 | Daniel | Feb 2017 | A1 |
Number | Date | Country |
---|---|---|
2698078 | Sep 2011 | CA |
1665633 | Sep 2005 | CN |
201083660 | Jul 2008 | CN |
201149744 | Nov 2008 | CN |
101406978 | Apr 2009 | CN |
101419755 | Apr 2009 | CN |
201229711 | Apr 2009 | CN |
101571887 | Nov 2009 | CN |
101587659 | Nov 2009 | CN |
101661589 | Mar 2010 | CN |
102053563 | May 2011 | CN |
102083580 | Jun 2011 | CN |
102202836 | Sep 2011 | CN |
202053009 | Nov 2011 | CN |
202684308 | Jan 2013 | CN |
203503228 | Mar 2014 | CN |
103871279 | Jun 2014 | CN |
2833638 | Feb 1980 | DE |
3046634 | Jan 1984 | DE |
3244307 | May 1984 | DE |
3522581 | Jan 1987 | DE |
4037879 | Jun 1991 | DE |
19615069 | Oct 1997 | DE |
19739720 | Oct 1998 | DE |
19834205 | Feb 2000 | DE |
20009543 | Aug 2001 | DE |
102005047204 | Apr 2007 | DE |
102006048165 | Jan 2008 | DE |
102010038902 | Feb 2012 | DE |
0008527 | Mar 1980 | EP |
108599 | May 1984 | EP |
127299 | Dec 1984 | EP |
145891 | Jun 1985 | EP |
319623 | Oct 1990 | EP |
852986 | Jul 1998 | EP |
1527852 | May 2005 | EP |
1905533 | Apr 2008 | EP |
2274736 | May 2007 | ES |
1456780 | Mar 1965 | FR |
2827066 | Jan 2003 | FR |
2926660 | Jul 2009 | FR |
1455972 | Nov 1976 | GB |
1511608 | May 1978 | GB |
2254172 | Sep 1992 | GB |
2435838 | Sep 2007 | GB |
2454232 | May 2009 | GB |
02-224877 | Sep 1990 | JP |
05-329645 | Dec 1993 | JP |
07-047471 | Feb 1995 | JP |
07-232270 | Sep 1995 | JP |
08-505091 | Apr 1996 | JP |
08-150476 | Jun 1996 | JP |
108221107 | Aug 1996 | JP |
08-132274 | May 1998 | JP |
2000-167666 | Jun 2000 | JP |
2000-237872 | Sep 2000 | JP |
2001-071140 | Mar 2001 | JP |
2002278670 | Sep 2002 | JP |
2003-200372 | Jul 2003 | JP |
2003-326362 | Nov 2003 | JP |
2004025270 | Jan 2004 | JP |
2006006604 | Jan 2006 | JP |
2006-175205 | Jul 2006 | JP |
2006-281270 | Oct 2006 | JP |
2007290025 | Nov 2007 | JP |
2009500178 | Jan 2009 | JP |
2009160636 | Jul 2009 | JP |
2010-231792 | Oct 2010 | JP |
2012024867 | Feb 2012 | JP |
100876425 | Dec 2008 | KR |
20090010693 | Jan 2009 | KR |
20110068544 | Jun 2011 | KR |
527045 | Jul 1995 | RU |
2317183 | Feb 2008 | RU |
2008108601 | Nov 2009 | RU |
10388963 | Aug 1983 | SU |
1998045078 | Oct 1998 | WO |
200112376 | Feb 2001 | WO |
2001043910 | Jun 2001 | WO |
2001058400 | Aug 2001 | WO |
2004029549 | Apr 2004 | WO |
2005102230 | Nov 2005 | WO |
2005110658 | Nov 2005 | WO |
2006034571 | Apr 2006 | WO |
2007039278 | Apr 2007 | WO |
2009060231 | May 2009 | WO |
2009120921 | Oct 2009 | WO |
2009149740 | Dec 2009 | WO |
2010000003 | Jan 2010 | WO |
2010044982 | Apr 2010 | WO |
2010091493 | Aug 2010 | WO |
2011045654 | Apr 2011 | WO |
2011058433 | May 2011 | WO |
2011059502 | May 2011 | WO |
2011067447 | Jun 2011 | WO |
2011097035 | Aug 2011 | WO |
2012016851 | Feb 2012 | WO |
2012082105 | Jun 2012 | WO |
2012143327 | Oct 2012 | WO |
2013014202 | Jan 2013 | WO |
2013025672 | Feb 2013 | WO |
2013061518 | May 2013 | WO |
2013114189 | Aug 2013 | WO |
2013119749 | Aug 2013 | WO |
2013175079 | Nov 2013 | WO |
2013186413 | Dec 2013 | WO |
2014007830 | Jan 2014 | WO |
2014019045 | Feb 2014 | WO |
2014020386 | Feb 2014 | WO |
2014140720 | Sep 2014 | WO |
2014184710 | Nov 2014 | WO |
2016137578 | Sep 2016 | WO |
Entry |
---|
International Search Report and Written Opinion from PCT/IB2009/00605 dated Feb. 12, 2010. |
International Search Report and Written Opinion from PCT/IB10/02913 dated Apr. 19, 2011. |
International Search Report and Written Opinion from PCT/IB2014/002346 dated Feb. 24, 2015. |
International Search Report and Written Opinion from PCT/IB2015/000161 dated Jun. 8, 2015. |
International Search Report and Written Opinion from PCT/IB2015/000257 dated Jul. 3, 2015. |
Notice of Allowance from U.S. Appl. No. 13/543,240 dated Jun. 3, 2015. |
16th International Ship and Offshore Structures Congress : Aug. 20-25, 2006; Southhampton, U.K. vol. 2 Specialist Committee V.3 Fabrication Technology Committee Mandate: T. Borzecki, G. Bruce, Y.S. Han, M. Heinermann, A. Imakita, L. Josefson, W. Nie, D. Olsen, F. Roland and Y. Takeda. Naval Ship Design, ABS Papers 2006. |
Abbas et al., Code Aster (Software) EDF (France), 14 pages, Oct. 2001. |
Abbas et al.; Code_Aster; Introduction to Code_Aster; User Manual; Booklet U1.0-: Introduction to Code_Aster; Document: U1.02.00; Version 7.4; Jul. 22, 2005. |
Abid, et al., “Numerical Simulation to study the effect of tack welds and root gap on welding deformations and residual stresses of a pipe flange joint” Intl. J. of Pressure Vessels and Piping, 82, pp. 860-871 (2005). |
Abida et al., Numerical simulation to study the effect of tack welds and root gap on welding deformations and residual stresses of a pipe-flange joint, Faculty of Mechanical Engineering, GIK Institute of Engineering Sciences and Technology, Topi, NWFP, Pakistan, 12 pages, Available on-line Aug. 25, 2005. |
Agren; Sensor Integration for Robotic Arc Welding; 1995; vol. 5604C of Dissertations Abstracts International p. 1123; Dissertation Abs Online (Dialog® File 35): © 2012 ProQuest Info& Learning: http://dialogweb.com/cgi/dwclient?req=1331233317524; one (1) page; printed Mar. 8, 2012. |
Aidun et al., “Penetration in Spot GTA Welds during Centrifugation,” Journal of Materials Engineering and Performance vol. 7(5) Oct. 1998—597-600. |
ANSI/A WS D 10.11 MID 10. 11 :2007 Guide for Root Pass Welding of Pipe without Backing Edition: 3rd American Welding Society / Oct. 13, 2006 /36 pages ISBN: 0871716445, 6 pages. |
Antonelli et al., “A Semi-Automated Welding Station Exploiting Human-robot Interaction”, Dept. of Production Systems and Economics, pp. 249-260, 2011. |
Arc+ simulator; 2 pgs., http://www.123arc.com/en/depliant_ang.pdf; 2000. |
Asciencetutor.com, A division of Advanced Science and Automation Corp., VWL (Virtual Welding Lab), 2 pages, 2007. |
ASME Definitions, Consumables, Welding Positions, dated Mar. 19, 2001. See http://www.gowelding.com/wp/asme4.htm. |
B. Virtual Reality Welder Trainer, Session 5, joining Technologies for Naval Applications, earliest date Jul. 14, 2006 (Nancy Porter of EWI). |
Balijepalli et al., Haptic Interfaces for Virtual Environment and Teleoperator Systems, Haptics 2003, 7-.,Department of Mechanical & Aerospace Engineering, State University of New York at Buffalo, NY. |
Borzecki et al., Specialist Committee V.3 Fabrication Technology Committee Mandate, Aug. 20-25, 2006, 49 pages, vol. 2, 16th International Ship and Offshore Structures Congress, Southampton, UK. |
Boss (engineering), Wikipedia, 1 page, printed Feb. 6, 2014. |
ChemWeb.com, Journal of Materials Engineering and Performance (v.7, #5), 3 pgs., printed Sep. 26, 2012. |
Chen et al., Self-Learning Fuzzy Neural Networks and Computer Vision for Control of Pulsed GTAW, Welding Research Supplement, pp. 201-209, dated May 1997. |
Choquet, “ARC+: Today's Virtual Reality Solution for Welders” Internet Page, Jan. 1, 2008, 6 pages. |
Code Aster (Software) EDF (France), Oct. 2001. |
Cooperative Research Program, Virtual Reality Welder Training, Summary Report SR 0512, 4 pages, Jul. 2005. |
CS Wave, The Virtual Welding Trainer, 6 pages, 2007. |
CS Wave, A Virtual learning tool for welding motion, 10 pages, Mar. 14, 2008. |
CS Wave, Product Description, 2 pages, printed Jan. 14, 2015. |
Desroches; Code-Aster, Note of use for calculations of welding; Instruction manual U2.03 booklet: Thermomechanical; Document: U2.03.05; Oct. 1, 2003. |
D'Huart et al.; Virtual Environment for Training: An Art of Enhancing Reality, 6th International Conference, ITS 20002, Biarritz, France and San Sebastian, Spain, 6 pages, Jun. 2002. |
Dotson, Augmented Reality Welding Helmet Prototypes How Awesome the Technology Can Get, Sep. 26, 2012, Retrieved from the Internet: URL:http://siliconangle.com/blog/2012/09/26/augmented-reality-welding-helmet-prototypes-how-awesome-the-technology-can-get/,1 page, retrieved on Sep. 26, 2014. |
Echtler et al., “The Intelligent Welding Gun: Augmented Reality of Experimental Vehicle Construction”, Virtual and Augmented Reality Applications in Manufacturing, 17, pp. 1-27, Springer Verlag, 2003. |
Edison Welding Institute, E-Weld Predictor, 3 pages, 2008. |
Eduwelding+, Weld Into the Future; Online Welding Seminar—A virtual training environment; 123arc.com; 4 pages, 2005. |
Eduwelding+, Training Activities with arc+ simulator; Weld Into the Future, Online Welding Simulator—A virtual training environment; 123arc.com; 6 pages, May 2008. |
Erden, “Skill Assistance with Robot for Manual Welding”, Marie Curie Intra-European Fellowship, Project No. 297857, 3 pgs., printed Apr. 27, 2015. |
EWM Virtual Welding Trainer, 2 pages, printed Jan. 14, 2015. |
The Fabricator, Virtually Welding, Training in a virtual environment gives welding students a leg up, 4 pages, Mar. 2008. |
Fast et al., “Virtual Training for Welding”, Mixed and Augmented Reality, 2004, ISMAR 2004, Third IEEE and CM International Symposium on Arlington, VA, Nov. 2-5, 2004. |
Fillet weld, Wikipedia, 3 pgs. Printed Feb. 6, 2014. |
Fronius, ARS Electronica Linz GMBH, High-speed video technology is applied to research on welding equipment, and the results are visualized in the CAVE, 2 pages, May 18, 1997. |
Fronius, Virtual Welding, 8 pages, printed Jan. 14, 2015. |
Joanneum, Fronius—virtual welding, 2 pages, May 12, 2008. |
Fronius, Virtual Welding/The Welder Training of the Future/, 8 page brochure, 2011. |
Garcia-Allende et al.; Defect Detection in Arc-Welding Processes by Means of the Line-to-Continuum Method and Feature Selection; www.mdpi.com/journal/sensors; Sensors 2009, 9, 7753-7770; doi; 10.3390/s91007753. |
International Search Report and Written Opinion from International Application No. PCT/US10/60129 dated Feb. 10, 2011. |
International Search Report and Written Opinion from International Application No. PCT/US12/45776 dated Oct. 1, 2012. |
Office Action from U.S. Appl. No. 12/499,687 dated Oct. 16, 2012. |
“Numerical Analysis of Metal Transfer in Gas Metal Arc Welding,” G. Wang, P.G. Huang, and Y.M. Zhang. Departments of Mechanical and Electrical Engineering. University of Kentucky, Dec. 10, 2001. |
Numerical Analysis of Metal Transfer in Gas Metal Arc Welding Under Modified Pulsed Current Conditions, G. Wang, P.G. Huang, and Y.M. Zhang. Metallurgical and Materials Transactions B, vol. 35B, Oct. 2004, pp. 857-866. |
Wang et al., Study on welder training by means of haptic guidance and virtual reality for arc welding, 2006 IEEE International Conference on Robotics and Biomimetics, ROBIO 2006 ISBN-10: 1424405718, p. 954-958. |
Weld nut, Wikipedia, 2 pgs. Printed Feb. 6, 2014. |
Weldplus, Welding Simulator, 2 pages, printed Jan. 14, 2015. |
White et al., Virtual welder training, 2009 IEEE Virtual Reality Conference, p. 303, 2009. |
Chuansong Wu, “Microcomputer-based welder training simulator”, Computers in Industry, vol. 20, No. 3, Oct. 1992, pp. 321-325, XP000205597, Elsevier Science Publishers, Amsterdam, NL. |
Wuhan Onew Technology Co., Ltd., “Onew Virtual Simulation Expert”, 16 pgs., printed Apr. 16, 2015. |
Yao et al., ‘Development of a Robot System for Pipe Welding’. 2010 International Conference on Measuring Technology and Mechatronics Automation. Retrieved from the Internet: http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5460347&tag=1; pp. 1109-1112, 4 pages. |
EnergynTech Inc.; website printout; http://www.energyntech.com./; Advanced Metals Processing Technology & Flexible Automation for Manufacturing; Virtual Welder; Virtual training system for beginning welders; 2 page; 2014. |
EnergynTech Inc.; website printout; http://www.energyntech.com/Zipper.html; Zipper Robot Performing a HiDep Weld; 1 page; 2014. |
Terebes; Institute of Automation; University of Bremen; Project Motivation Problems Using Traditional Welding Masks; 2 page; 2015. |
WeldWatch Software/Visible Welding; website printout; http://visiblewelding.com/weldwatch-software/4 pages; 2015. |
Products/Visible Welding; Weldwatch Video Monitoring System; website prinout http://visiblewelding.com/products; 4 pages; 2015. |
NSRP—Virtual Welding—A Low Cost Virtual Reality Welder Training System—Phase II—Final Report; Feb. 29, 2012; Kenneth Fast, Jerry Jones, Valerie Rhoades; 53 pages. |
Corrected Notice of Allowance from U.S. Appl. No. 12/966,570 dated Feb. 23, 2015. |
Office Action from U.S. Appl. No. 14/444,173 dated Mar. 18, 2015. |
Response to Office Action dated Mar. 18, 2015 from U.S. Appl. No. 14/444,173 dated Jun. 11, 2015. |
Notice of Allowance from U.S. Appl. No. 14/444,173 dated Jun. 24, 2015. |
Response from U.S. Appl. No. 12/499,687 dated Apr. 10, 2013. |
Office Action from U.S. Appl. No. 12/499,687 dated Jun. 26, 2013. |
Response from U.S. Appl. No. 12/499,687 dated Nov. 25, 2013. |
Office Action from U.S. Appl. No. 12/499,687 dated Mar. 6, 2014. |
Response from U.S. Appl. No. 12/499,687 dated Sep. 5, 2014. |
Office Action from U.S. Appl. No. 12/499,687 dated Nov. 6, 2014. |
Office Action from U.S. Appl. No. 12/966,570 dated May 8, 2013. |
Response from U.S. Appl. No. 12/966,570 dated Oct. 8, 2013. |
Notice of Allowance from U.S. Appl. No. 12/966,570 dated Apr. 29, 2014. |
Office Action from U.S. Appl. No. 13/543,240 dated Nov. 14, 2014. |
Notice of Allowance from U.S. Appl. No. 13/543,240 dated Sep. 3, 2015. |
International Search Report and Written Opinion from PCT/IB2015/000777 dated Sep. 21, 2015. |
International Search Report and Written Opinion from PCT/IB2015/000814 dated Nov. 5, 2015. |
International Search Report and Written Opinion from PCT/IB2015/001711 dated Jan. 4, 2016. |
Narayan et al., “Computer Aided Design and Manufacturing,” pp. 3-4, 14-15, 17-18, 92-95, and 99-100, Dec. 31, 2008. |
International Preliminary Report on Patentability from PCT/IB2014/001796 dated Mar. 15, 2016. |
Office action from U.S. Appl. No. 15/077,481 dated May 23, 2016. |
Response from U.S. Appl. No. 15/077,481 dated Jun. 23, 2016. |
Office Action from Chinese Application No. 201280075678.5 dated Jul. 5, 2016. |
Notice of Allowance from U.S. Appl. No. 15/077,481 dated Aug. 10, 2016. |
Office Action from Chinese Application No. 201480027306.4 dated Aug. 3, 2016. |
Office Action from Chinese Application No. 201380017661.9 dated Aug. 22, 2016. |
International Preliminary Report on Patentability from PCT/IB2015/000161 dated Aug. 25, 2016. |
International Preliminary Report on Patentability from PCT/IB2015/000257 dated Sep. 15, 2016. |
Office Action from Chinese Application No. 201480025359.2 dated Sep. 26, 2016. |
Office Action from U.S. Appl. No. 14/190,812 dated Nov. 9, 2016. |
Office Action from Chinese Application No. 201480025614.3 dated Nov. 28, 2016. |
Office Action from U.S. Appl. No. 14/293,700 dated Dec. 28, 2016. |
Office Action from U.S. Appl. No. 14/293,826 dated Dec. 30, 2016. |
Juan Vicenete Rosell Gonzales, “RV-Sold: simulator virtual para la formacion de soldadores”; Deformacion Metalica, Es. vol. 34, No. 301, Jan. 1, 2008. |
The Goodheart-Wilcox Co., Inc., Weld Joints and Weld Types, Chapter 6, pp. 57-68, date unknown. |
Graham, Texture Mapping, Carnegie Mellon University Class 15-462 Computer Graphics, Lecture 10, 53 pages, dated Feb. 13, 2003. |
Guu et al.,Technique for Simultaneous Real-Time Measurements of Weld Pool Surface Geometry and Arc Force, Welding Research Supplement—pp. 473-482, Dec. 1992. |
Hills et al.; “Data Parallel Algorithms”, Communications of the ACM, Dec. 1986, vol. 29, No. 12, p. 1170. |
Hirche et al., Hardware Accelerated Per-Pixel Displacement Mapping, 8 pages, 2004. |
Hu et al., Heat and mass transfer in gas metal arc welding. Part 1: the arc, found in ScienceDirect, International Journal of Heat and Mass Transfer 50 (2007), 14 pages, 833-846 Available online on Oct. 24, 2006, http://www.web.mst.edu/˜tsai/publications/HU-IJHMT-2007-1-60.pdf. |
Aidun, Influence of Simulated High-g on the Weld Size of Al—Li Alloy, Acta Astronautica, vol. 48, No. 2-3, pp. 153-156, 2001. |
Jonsson et al., Simulation of Tack Welding Procedures in Butt Joint Welding of Plates Welding Research Supplement, Oct. 1985, pp. 296-302. |
Kemppi ProTrainer, product data, 3 pages, printed Jan. 14, 2015. |
Konstantinos Nasios (Bsc), Improving Chemical Plant Safety Training Using Virtual Reality, Thesis submitted to the University of Nottingham for the Degree of Doctor of Philosophy, 313 pages, Dec. 2001. |
Leap Motion, Inc., product information, copyright 2013, 14 pages. |
Learning Labs, Inc., Seabery, Soldamatic Augmented Reality Welding Trainers, 4 pgs., printed Mar. 20, 2014. |
Lim et al., “Automatic classification of weld defects using simulated data and MLP neural network”, Insight, vol. 49, No. 3, Mar. 2007. |
Wade, Human uses of ultrasound: ancient and modern Department of Electrical and Computer Engineering, University of California at Santa Barbara 93106, USA. Ultrasonics (Impact Factor: 1.81). Apr. 2000; 38(1-8):1-5. |
Production Monitoring 2 brochure, four (4) pages, The Lincoln Electric Company, May 2009. |
The Lincoln Electric Company; CheckPoint Production Monitoring brochure; four (4) pages; http://www.lincolnelectric.com/assets/en_US/products/literature/s232.pdf; Publication S2.32; Issue Date Feb. 2012. |
Lincoln Electric, Vrtex Virtual Reality Arc Welding Trainer, 9 pgs. Printed Feb. 2, 2014. |
Lincoln Electric, Vrtex 360 Virtual Reality Arc Welding Trainer, 4 pgs., Oct. 2014. |
Linholm et al., “NVIDIA Testla: A Unifired Graphics and Computing Architecture”, IEEE Computer Society, 2008. |
Mahrle et al., “The influence of fluid flow phenomena on the laser beam welding process”, Intl. J. of Heat and Fluid Flow, 23, pp. 288-297 (2002). |
Mann et al., Realtime HDR (High Dynamic Range) Video for Eyetap Wearable Compuerts, FPGA-based Seeing Aids, and Glasseyes (Eyetaps), 2012 25th IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), pp. 1-6, 6 pages, Apr. 29, 2012. |
Yosh Mantinband et al., Autosteroscopic, field-sequential display with full freedom of movement or Let the display were the shutter-glasses, yosh@3ality.com, (Israel) Ltd., 8 pages, 2002. |
Mavrikios et al., A prototype virtual reality-based demonstrator for immersive and interactive simulation of welding processes, International Journal of Computer Integrated manufacturing, Taylor and Francis, Basingstoke, GB, vol. 19, No. 3, Apr. 1, 2006, pp. 294-300. |
Mechanisms and Mechanical Devices Sourcebook, Chironis, McGraw Hill, Neil Sclater, 2nd Ed. 1996. |
Miller Electric Mfg. Co., “LiveArc Welding Performance Management System”, 4 pg. brochure, Dec. 2014. |
Miller Electric, Owner's Manual, Live Arc, Welding Performance Management System, Owners's Manual—OM-267 357A; 64 pgs., Jul. 2014. |
Miller Electric Mgf. Co.; MIG Welding System features weld monitoring software; NewsRoom 2010 (Dialog® File 992); © 2011 Dialog. 2010; http://www.dialogweb.com/cgi/dwclient?reg=1331233430487; three (3) pages; printed Mar. 8, 2012. |
N. A. Tech., P/NA.3 Process Modeling and Optimization, 11 pages, Jun. 4, 2008. |
NSRP ASE, Low-Cost Virtual Reality Welder Training System, 1 Page, 2008. |
NVIDIA Tesla: A Unified Graphics and Computing Architecture, IEEE Computer Society 0272-1732, Mar.-Apr. 2008. |
O'Brien, “Google's Project Glass gets some more details”,Jun. 27, 2012 (Jun. 27, 2012), Retrieved from the Internet: http://www.engadget.com/2012/06/27/googles-project-glass-gets-some-more-details/, 1 page, retrieved on Sep. 26, 2014. |
Porter et al., Virtual Reality Training, Paper No. 2005-P19, 14 pages, 2005. |
Porter et al., Virtual Reality Welder Training, 29 pages, dated Jul. 14, 2006. |
Porter, Virtual Reality Welder Trainer, Session 5: Joining Technologies for Naval Applications: earliest date Jul. 14, 2006 (http://weayback.archive.org), Edision Welding Institute; J. Allan Cote, General Dynamics Electric Boat; Timothy D. Gifford, VRSim, and Wim Lam, FCS Controls. |
Praxair, “The RealWeld Trainer System”, two page brochure, 2013. |
Ratnam et al., “Automatic classification of weld defects using simulated data and an MLP neutral network.” Insight vol. 49, No. 3; Mar. 2007. |
Reeves, “Particles Systems—A Technique for Modeling a Class of Fuzzy Objects”, Computer Graphics 17:3 pp. 359-376, 1983, 17 pages. |
Rodjito, Position tracking and motion prediction using Fuzzy Logic, 81 pages, 2006, Colby College, Honors Theses, Paper 520. |
Russell et al., “Artificial Intelligence: A Modern Approach”, Prentice-Hall (Copyright 1995). |
Schoder, “Design and Implementation of a Video Sensor for Closed Loop Control of Back Bead Weld Puddle Width,” Massachusetts Institute of Technology, Dept. of Mechanical Engineering, May 27, 1983. |
Seabury Soluciones, Soldamatic Welding Trainer Simulator, 30 pages, printed Jan. 14, 2015. |
SIMFOR / CESOL, “RV-Sold” Welding Simulator, Technical and Functional Features, 20 pages, no date available. |
Sim Welder, Train better welders faster, retrieved on Apr. 12, 2010 from: http://www.simwelder.com. |
Training in a virtual environment gives welding students a leg up, retrieved on Apr. 12, 2010 from: http://www.thefabricator.com/article/arcwelding/virtually-welding. |
Teeravarunyou et al., “Computer Based Welding Training System”, Intl J of Industrial Engineering, 16 (2), pp. 116-125 (2009). |
Veiga, Simulation of a Work Cell in the IGRIP Program, dated 2006, 50 pages. |
ViziTech USA, Changing the Way America Learns, retrieved on Mar. 27, 2014 from http://vizitechusa.com/, 2 pages. |
Response to Office Action dated Nov. 14, 2014 from U.S. Appl. No. 13/543,240 dated Mar. 13, 2015. |
Office Action from U.S. Appl. No. 14/190,812 dated Feb. 23, 2017. |
Office Action from U.S. Appl. No. 14/552,739 dated Feb. 17, 2017. |
Office Action from U.S. Appl. No. 14/615,637 dated Apr. 27, 2017. |
Office Action from Chinese Application No. 201480025359.2 dated Feb. 28, 2017. |
Office Action from Chinese Application No. 201380076368.X dated Mar. 1, 2017. |
Yaoming, “Applications of Microcomputer in Robot Technology,” Scientific and Technical Documentation Press, Sep. 1987, pp. 360-365. |
Adams et al., “Adaptively Sampled Particle Fluids,” ACM Transactions on Graphics, vol. 26, No. 3, Article 48, Jul. 2007, pp. 48.1-48.7. |
Bargteil et al., “A Texture Synthesis Method for Liquid Animations,” Eurographics/ ACM SIGGRAPH Symposium on Computer Animation, 2006, pp. 345-351. |
Bargteil et al., “A Semi-Lagrangian Contouring Method for Fluid Simulation,” ACM Transactions on Graphics, vol. 25, No. 1, Jan. 2006, pp. 19-38. |
Chentanez et al., “Liquid Simulation on Lattice-Based Tetrahedral Meshes,” Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2007, 10 pages. |
Chentanez et al., “Simultaneous Coupling of Fluids and Deformable Bodies,” Eurographics/ ACM SIGGRAPH Symposium on Computer Animation, 2006, pp. 83-89. |
Clausen et al., “Simulating Liquids and Solid-Liquid Interactions with Lagrangian Meshes,” ACM Transactions on Graphics, vol. 32, No. 2, Article 17, Apr. 2013, pp. 17.1-17.15. |
Feldman et al., “Animating Suspended Particle Explosions,” Computer Graphics Proceedings, Annual Conference Series, Jul. 27-31, 2003, pp. 1-8. |
Feldman et al., “Fluids in Deforming Meshes,” Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2005, pp. 255-259. |
Foster et al., “Practical Animation of Liquids,” ACM SIGGRAPH, Aug. 12-17, 2001, Los Angeles, CA, pp. 23-30. |
Foster et al., “Realistic Animation of Liquids,” Graphical Models and Image Processing, vol. 58, No. 5, Sep. 1996, pp. 471-483. |
Goktekin et al., “A Method for Animating Viscoelastic Fluids,” Computer Graphics Proceedings, Annual Conference Series, Aug. 8-12, 2004, pp. 1-6. |
Holmberg et al., “Efficient Modeling and Rendering of Turbulent Water over Natural Terrain,” Proceedings of the 2nd International Conference on Computer Graphics and Interactive Techniques in Australasia and South East Asia, Singapore, Jun. 15-18, 2004, pp. 15-22. |
Irving et al., “Efficient Simulation of Large Bodies of Water by Coupling Two and Three Dimensional Techniques,” ACM Transactions on Graphics (TOG), vol. 25, Issue 3, Jul. 2006, pp. 805-811. |
Kass et al., “Rapid, Stable Fluid Dynamics for Computer Graphics,” Computer Graphics, vol. 24, No. 4, Aug. 1990, pp. 49-57. |
Klinger et al., “Fluid Animation with Dynamic Meshes,” Computer Graphics Proceedings, Annual Conference Series, Jul. 30-Aug. 3, 2006, pp. 820-825. |
Muller et al., “Particle-Based Fluid Simulation for Interactive Applications,” Eurographics/SIGGRAPH Symposium on Computer Animation (2003), pp. 154-159 and 372. |
O'Brien et al., “Dynamic Simulation of Splashing Fluids,” Proceedings of Computer Animation, Apr. 19-21, 1995, Geneva, Switzerland, pp. 198-205. |
Premoze et al., “Particle-Based Simulation of Fluids,” Eurographics, vol. 22, No. 3, 2003, 10 pages. |
Rasmussen et al., “Directable Photorealistic Liquids,” Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2004, pp. 193-202. |
Stam, “Stable Fluids,” SIGGRAPH 99 Conference Proceedings, Annual Conference Series, Aug. 1999, pp. 121-128. |
Thurey et al., “Real-time Breaking Waves for Shallow Water Simulations,” Proceedings of the Pacific Conference on Computer Graphics and Applications, Maui, HI Oct. 29-Nov. 2, 2007, 8 pages. |
Notice of Allowance from U.S. Appl. No. 14/293,700 dated May 10, 2017. |
Xie et al., “A Real-Time Welding Training System Base on Virtual Reality,” Wuhan Onew Technology Co., Lid, IEEE Virtual Reality Conference Mar. 23-27, 2015, Arles France, pp. 309-310. |
International Preliminary Report on Patentability from PCT/IB2015/001084 dated Jan. 26, 2017. |
Grahn et al., “Interactive Simulation of Contrast Fluid using Smoothed Particle Hydrodynamics,” Jan. 1, 2008, Masters Thesis in Computing Science, Umea University, Department of Computing Science, Umea Sweden, 69 pages. |
Vesterlund et al., “Simulation and Rendering of a Viscous Fluid using Smoothed Particle Hydrodynamics,” Dec. 3, 2004, Master's Thesis in Computing Science, Umea University, Department of Computing Science, Umea Sweden; 46 pages. |
Muller et al., “Point Based Animation of Elastic, Plastic and Melting Objects,” Eurographics/ACM SIGGRAPH Symposium on Computer Animation (2004), 11 pages. |
Nealen, “Point-Based Animation of Elastic, Plastic, and Melting Objects,” CG topics, Feb. 2005, 2 pages. |
Tonnesen, “Modeling Liquids and Solids using Thermal Particles,” Proceedings of Graphics Interface 1991, pp. 255-262, Calgary, Alberta, 1991. |
Cuda, “Programming Guide Version 1.1,” Nov. 29, 2007, 143 pages. |
Websters II new college dictionary, 3rd ed., Houghton Mifflin Co., copyright 2005, Boston, MA, p. 1271, definition of Wake, 3 pages. |
Da Dalto et al., “CS Wave: Learning welding motion in a virtual environment,” published in Proceedings of the IIW International Conference, Jul. 10-11, 2008, 19 pages. |
CS Wave-Manual, “Virtual Welding Workbench User Manual 3.0,” 2007, 25 pages. |
Choquet, “ARC+®: Today's Virtual Reality Solution for Welders,” published in Proceedings of the IIW International Conference, Jul. 10-11, 2008, 19 pages. |
Welding Handbook, Welding Science & Technology, American Welding Society, Ninth Ed., Copyright 2001, Appendix A, “Terms and Definitions,” 54 pages. |
“Virtual Welding: A Low Cost Virtual Reality Welder Training System,” NSRP RA 07-01—BRP Oral Review Meeting in Charleston, SC at ATI, Mar. 2008, 6 pages. |
Aiteanu, “Virtual and Augmented Reality Supervisor for a New Welding Helmet,” Dissertation Nov. 15, 2005, 154 pages. |
Screen Shot of CS Wave Exercise 135.FWPG Root Pass Level 1 https://web.archive.org/web/20081128081858/http:/wave.c-s.fr/images/english/snap_evolution2.Jpg, 1 page. |
Screen Shot of CS Wave Control Centre V3.0.0 https://web.archive.org/web/20081128081915/http:/wave.c-s.fr/images/english/snap_evolution4.jpg, 1 page. |
Screen Shot of CS Wave Control Centre V3.0.0 https://web.archive.org/web/20081128081817/http:/wave.c-s.fr/images/english/snap_evolution6.jpg, 1 page. |
Da Dalto et al. “CS Wave A Virtual learning tool for the welding motion,” Mar. 14, 2008, 10 pages. |
Nordruch et al., “Visual Online Monitoring of PGMAW Without a Lighting Unit,” Jan. 2005, 14 pages. |
Tamasi, “The Evolution of Computer Graphics,” NVIDIA, 2008, 36 pages. |
VRSim Powering Virtual Reality, www.lincolnelectric.com/en-us/eguipment/lraining-eguipment/Pages/powered-by-'rsim.aspx, 2016, 1 page. |
Hillers et al., “Direct welding arc observation without harsh flicker,” 8 pages, allegedly FABTECH International and AWS welding show, 2007. |
Declaration of Dr. Michael Zyda, May 3, 2016, exhibit to IPR 2016-00905, 72 pages. |
Declaration of Edward Bohnart, Apr. 27, 2016, exhibit to IPR 2016-00905, 23 pages. |
Declaration of Dr. Michael Zyda, May 3, 2016, exhibit to IPR 2016-00904, 76 pages. |
Declaration of Edward Bohnart, Apr. 27, 2016, exhibit to IPR 2016-00904, 22 pages. |
Declaration of Axel Graeser, Apr. 17, 2016, exhibit to IPR 2016-00840, 88 pages. |
ARC+ -Archived Press Release from WayBack Machine from Jan. 31, 2008-Apr. 22, 2013, https://web.3rchive.org/web/20121006041803/http://www.123certification.com/en/article_press/index.htm, downloaded on Jan. 21, 2016, 3 pages. |
Tschirner et al., “Virtual and Augmented Reality for Quality Improvement of Manual Welds,” National Institute of Standards and Technology, Jan. 2002, Publication 973, 24 pages. |
Wang et al., “Impingement of Filler Droplets and Weld Pool During Gas Metal Arc Welding Process,” International Journal of Heat and Mass Transfer, Sep. 1999, 14 pages. |
Jeffus, “Welding Principles and Applications,” Sixth Edition, 2008, 10 pages. |
Renwick et al., “Experimental Investigation of GTA Weld Pool Oscillations,” Welding Research—Supplement to the Welding Journal, Feb. 1983, 7 pages. |
Phar, “GPU Gems 2 Programming Techniques for High-Performance Graphics and General-Purpose Computation,” 2005, 12 pages. |
Notice of Allowance from U.S. Appl. No. 15/077,481 dated Feb. 3, 2017. |
International Preliminary Report on Patentability from PCT/IB2015/000158 dated Jan. 26, 2017. |
Exhibit B from Declaration of Morgan Lincoln in Lincoln Electric Co. et al. v. Seabery Soluciones, S.L. et al., Case No. 1:15-cv-01575-DCN, dated Dec. 20, 2016, 5 pages. |
International Search Report and Written Opinion from PCT/IB2015/000777 dated Dec. 15, 2016. |
International Search Report and Written Opinion from PCT/IB2015/000814 dated Dec. 15, 2016. |
“High Performance Computer Architectures: A Historical Perspective,” downloaded May 5, 2016, http://homepages.inf.ed.ac.uk/cgi/mi/comparch. pl?Paru/perf.html,Paru/perf-f.html,Paru/menu-76.html, 3 pages. |
Aiteanu et al., “Generation and Rendering of a Virtual Welding Seam in an Augmented Reality Training Environment,” Proceedings of the Sixth IASTED International Conference on Visualization, Imaging and Image Processing, Aug. 28-30, 2006, 8 pages, allegedly Palma de Mallorca, Spain. Ed. J.J. Villaneuva. ACTA Press. |
Tschirner et al., “A Concept for the Application of Augmented Reality in Manual Gas Metal Arc Welding,” Proceedings of the International Symposium on Mixed and Augmented Reality; 2 pages; 2002. |
Penrod, “New Welder Training Tools,” EWI PowerPoint presentation, 16 pages, allegedly 2008. |
Fite-Georgel, “Is there a Reality in Industrial Augmented Reality?” 10th IEEE International Symposium on Mixed and Augmented Reality (ISMAR), 10 pages, allegedly 2011. |
Hillers et al., “Real time Arc-Welding Video Observation System,” 62nd International Conference of IIW, Jul. 12-17, 2009, 5 pages, allegedly Singapore 2009. |
Advance Program of American Welding Society Programs and Events, Nov. 11-14, 2007, 31 pages, Chicago. |
Terebes, examples from http://www.terebes.uni-bremen.de., 6 pages. |
Sandor et al., “PAARTI: Development of an Intelligent Welding Gun for BMW,” PIA2003, 7 pages, Tokyo, 2003. |
Arvika Forum Vorstellung Projekt PAARI, BMW Group Virtual Reality Center, 4 pages, Nuernberg, 2003. |
Sandor et al., “Lessons Learned in Designing Ubiquitous Augmented Reality User Interfaces,” 21 pages, allegedly from Emerging Technologies of Augmented Reality: Interfaces Eds. Haller, M.; Billinghurst, M.; Thomas, B. Idea Group Inc., 2006. |
Impact Welding: examples from current and archived website, trade shows, etc. See, e.g., http://www.impactwelding.com, 53 pages. |
http://www.nsrp.org/6-Presentations/WDVirtual_Welder.pdf (Virtual Reality Welder Training, Project No. SI051, Navy ManTech Program, Project Review for ShipTech 2005), 22 pages, Biloxi, MS. |
https://app.aws_org/w/r/www/wj/2005/031WJ_2005_03.pdf (AWS Welding Journal, Mar. 2005 (see, e.g., p. 54))., 114 pages. |
https://app.aws.org/conferences/defense/live index.html (AWS Welding in the Defense Industry conference schedule, 2004), 12 pages. |
https://app.aws.org/wj/2004/04/052/njc (AWS Virtual Reality Program to Train Welders for Shipbuilding, workshop Information, 2004), 7 pages. |
https://app.aws.org/wj/2007/11WJ200711.pdf (AWS Welding Journal, Nov. 2007), 240 pages. |
American Welding Society, “Vision for Welding Industry,” 41 pages. |
Energetics, Inc. “Welding Technology Roadmap,” Sep. 2000, 38 pages. |
Aiteanu et al., “Computer-Aided Manual Welding Using an Augmented Reality Supervisor,” Sheet Metal Welding Conference XII, Livonia, MI, May 9-12, 2006, 14 pages. |
Hillers et al., “Augmented Reality—Helmet for the Manual Welding Process,” Institute of Automation, University of Bremen, Germany, 21 pages. |
Aiteanu et al., “A Step Forward in Manual Welding: Demonstration of Augmented Reality Helmet” Institute of Automation, University of Bremen, Germany, Proceedings of the Second IEEE and ACM International Symposium on Mixed and Augmented Reality; 2003, 2 pages. |
ArcSentry, “Weld Quality Monitoring System,” Native American Technologies, allegedly 2002, 5 pages. |
P/NA.3, “Process Modelling and Optimization,” Native American Technologies, allegedly 2002, 5 pages. |
Hillers et al., “TEREBES: Welding Helmet with AR Capabilities,” Institute of Automatic University Bremen; Institute of Industrial Engineering and Ergonomics, 10 pages, allegedly 2004. |
Sheet Metal Welding Conference XII, American Welding Society Detroit Section, May 2006, 11 pages. |
Fast et al., “Virtual Training for Welding,” Proceedings of the Third IEEE and ACM International Symposium on Mixed and Augmented Reality (ISMAR 2004), 2 pages. |
Amended Answer to Complaint with Exhibit A filed by Seabery North America Inc. in Lincoln Electric Co. et al. v. Seabery Soluciones, S.L. et al., Case No. 1:15-cv-01575-DCN, doc. No. 44, filed Mar. 1, 2016, in the U.S. District Court for the Northern District of Ohio, 19 pages. |
Amended Answer to Complaint with Exhibit A filed by Seabery Soluciones SL in Lincoln Electric Co. et al. v. Seabery Soluciones, S.L. et al., Case No. 1:15-cv-01575-DCN, doc. No. 45, filed Mar. 1, 2016, in the U.S. District Court for the Northern District of Ohio, 19 pages. |
Reply to Amended Answer to Complaint for Patent Infringement filed by Lincoln Electric Co., Lincoln Global, Inc. In Lincoln Electric Co. et al. v. Seabery Soluciones, S.L. et al., Case No. 1:15-cv-01575-DCN, doc. No. 46, filed Mar. 22, 2016, in the U.S. District Court for the Northern District of Ohio, 5 pages. |
Answer for Patent Infringement filed by Lincoln Electric Company, Lincoln Global, Inc. In Lincoln Electric Co. et al. v. Seabery Soluciones, S.L. et al., Case No. 1:15-cv-01575-DCN, doc No. 47, filed Mar. 22, 2016, in the U.S. District Court for the Northern District of Ohio, 5 pages. |
Petition for Inter Partes Review of U.S. Pat. No. 8,747,116, IPR 2016-00749, Apr. 7, 2016; 70 pages. |
Petition for Inter Partes Review of U.S. Pat. No. RE45,398, IPR 2016-00840, Apr. 18, 2016, 71 pages. |
Petition for Inter Partes Review of U.S. Pat. No. 9,293,056, IPR 2016-00904, May 9, 2016, 91 pages. |
Petition for Inter Partes Review of U.S. Pat. No. 9,293,057, IPR 2016-00905, May 9, 2016, 87 pages. |
http://www.vrsim.net/history, downloaded Feb. 26, 2016, 10:04:37 pm. |
Complaint for Patent Infringement in Lincoln Electric Co. et al. v. Seabery Soluciones, S.L. et al., Case No. 1:15-av-01575-DCN, doc. No. 1, filed Aug. 10, 2015, in the U.S. District Court for the Northern District of Ohio, 81 pages. |
Kobayashi et al., “Simulator of Manual Metal Arc Welding with Haptic Display,” Proc. of the 11th International Conf. on Artificial Reality and Telexistence (ICAT), Dec. 5-7, 2001, pp. 175-178, Tokyo, Japan. |
Wahi et al., “Finite-Difference Simulation of a Multi-Pass Pipe Weld,” vol. L, paper 3/1, International Conference on Structural Mechanics in Reactor Technology, San Francisco, CA, Aug. 15-19, 1977. |
Declaration of Dr. Michael Zyda, May 3, 2016, exhibit to IPR 2016-00749. |
Declaration of Edward Bohnert, Apr. 27, 2016, exhibit to IPR 2016-00749. |
Swantec corporate web page downloaded Apr. 19, 2016, http://www.swantec.com/technology/numerical-simulation/. |
Catalina et al., “Interaction of Porosity with a Planar Solid/Liquid Interface,” Metallurgical and Materials Transactions, vol. 35A, May 2004, pp. 1525-1538. |
Fletcher Yoder Opinion re RE45398 and U.S. Appl. No. 14/589,317, Sep. 9, 2015, 41 pages. |
Kobayashi et al., “Skill Training System of Manual Arc Welding by Means of Face-Shield-Like HMD and Virtual Electrode,” Entertainment Computing, vol. 112 of the International Federation for Information Processing (IFIP), Springer Science + Business Media, New York, copyright 2003, pp. 389-396. |
G.E. Moore, “No exponential is forever: but Forever can be delayed!,” IEEE International Solid-State Circuits Conference, 2003, 19 pages. |
Office Action in CN Application No. 201710087175A dated Feb. 1, 2018. |
Office Action in JP Application No. 2015-562352 dated Feb. 6, 2018. |
Office Action in JP Application No. 2015-562353 dated Feb. 6, 2018. |
Office Action in JP Application No. 2015-562354 dated Feb. 6, 2018. |
Office Action in JP Application No. 2015-562355 dated Feb. 6, 2018. |
Communication Pursuant to Article 94(3) EPC in EP Application No. 14732357.0 dated Feb. 12, 2018. |
Notice of Allowance from U.S. Appl. No. 15/077,532 dated Mar. 28, 2018. |
Office Action from CN Application No. 201480060353.9 dated Mar. 30, 2018. |
Office Action from U.S. Appl. No. 15/077,532 dated Dec. 29, 2017. |
Office Action from U.S. Appl. No. 14/827,657 dated Jan. 16, 2018. |
Office Action from U.S. Appl. No. 15/228,524 dated Feb. 5, 2018. |
Communication Pursuant to Article 94(3) EPC in EP Application No. 13753204.0 dated Mar. 9, 2017. |
Office Action in CN Application No. 201480012861.X dated Jul. 18, 2017. |
Office Action in CN Application No. 201610179195.X dated Jul. 19, 2017. |
Office Action in CN Application No. 201480025985.1 dated Aug. 10, 2017. |
Office Action from U.S. Appl. No. 14/293,826 dated Jul. 21, 2017. |
Office Action from Chinese Application No. 201480025614.3 dated Jun. 9, 2017. |
Office Action from U.S. Appl. No. 14/829,161 dated Jul. 28, 2017. |
Notification of Reason for Refusal from KR Application No. 10-2015-7002697 dated Sep. 25, 2017. |
The Lincoln Electric Company, Checkpoint Operator's Manual, 188 pages, issue date Aug. 2015. |
Extended European Search Report from EP Application No. 10860823.3 dated Jun. 6, 2017. |
Office Action from U.S. Appl. No. 14/827,657 dated May 26, 2017. |
Decision of Rejection in CN Application No. 201380047141.2 dated Sep. 7, 2017. |
Communication pursuant to Article 94(3) EPC from EP Application No. 15732934.3 dated Apr. 24, 2018. |
Communication pursuant to Article 94(3) EPC from EP Application No. 15731664.7 dated Jul. 13, 2018. |
Number | Date | Country | |
---|---|---|---|
20150125836 A1 | May 2015 | US |
Number | Date | Country | |
---|---|---|---|
61900136 | Nov 2013 | US |