Modular and reconfigurable chassis for simulated welding training

Information

  • Patent Grant
  • 11557223
  • Patent Number
    11,557,223
  • Date Filed
    Wednesday, March 27, 2019
    5 years ago
  • Date Issued
    Tuesday, January 17, 2023
    a year ago
Abstract
A modular and reconfigurable chassis enables minimalization of inventory while facilitating ease of conversion into multiple configurations of a welding simulator. The modular and reconfigurable chassis permits both hardware and software related system configurations. The chassis is adapted to receive hardware interfaces for single and multiple user configurations.
Description
FIELD

The present invention pertains to systems for training welders using a simulated welding environment, and more particularly to system chassis that are modular and reconfigurable to allow for reduced inventory item counts and fewer part numbers to maintain in an inventory system, thus reducing production cost and long lead times due to parts shortages.


BACKGROUND

Until recently, welding was taught in a real-world setting, that is to say that welding was taught by using a real-world welding gun and pieces of metal that were positioned to form a weld joint that was the type of which the welding student was intended to learn. Instructors would often guide the student during the process of making the weld. This process required safety equipment, a suitable work environment, and consumed materials such as welding rod/wire, workpieces, and the electrical power consumed by the welding machine. Additionally, because of the arc and other dangers involved in real-world welds, instructors and other students were susceptible to injury from welding flash, sparks, and burns from hot workpieces.


Students learned by instruction and repetition, requiring potentially large numbers of workpieces and consumed materials. In more recent times, systems (simulators) have been employed that simulate a weld joint. These systems incorporate motion and position sensors that receive the position and motion of a mock welding tool (gun) and a simulated electrode carried by that tool. Example systems might incorporate the use of virtual reality (VR), which simulates a student's manipulation of a mock electrode and mock workpieces in a virtual setting. These systems track position and orientation of the mock electrode and mock workpieces. The use of this type of system enables the student to learn how to manipulate the welding tool (developing muscle memory).


In addition to VR, simulators can use other simulation techniques, such as augmented reality (AR). AR differs from VR in that AR generally provides the user with a view of a real-world workpiece with which a user is interacting. For example, an image may be captured by a camera and displayed in real-time to the user. Additional information is then added to this image. For example, in a simulated welding environment, a user may view two real-world workpieces and a simulated weld that appears as the user moves a mock electrode along a weld path, connecting the workpieces. Alternately, a user may view the real-world workpieces through a transparent display device that projects the additional information into the user's field of view.


Because this type of instruction is provided in many different types of locations and may be provided to students with varying needs, welding simulators should be flexible in both capabilities and physical structure. Known welding simulators generally provide different configurations that must be customized during the manufacturing process and typically require selecting a specific chassis based on the different configurations. In order to reduce inventory, manufacturing process complexity, and lead time, a modular and reconfigurable chassis is desirable.


Simulated welding training and welding simulators are known, such as described in: U.S. Pat. No. 8,747,116, filed on Jul. 10, 2009, issued on Jun. 10, 2015, and entitled System And Method Providing Arc Welding Training In A Real-Time Simulated Virtual Reality Environment Using Real-Time Weld Puddle Feedback; U.S. Pat. No. 9,483,959, filed on Jul. 17, 2009, issued on Nov. 1, 2016, and entitled Welding Simulator; and U.S. Pat. No. 9,011,154, filed on Feb. 2, 2012, issued on Apr. 21, 2015, and entitled Virtual Welding System; each of which is incorporated by reference herein in its entirety.


SUMMARY

In an exemplary embodiment, a welding simulator comprises a chassis having a predefined form factor (i.e., size and shape), the chassis being operable to interface with a plurality of external components including at least one mock welding tool and a helmet-mounted display. The welding simulator is configured into one of a first configuration, a second configuration, and a third configuration prior to use. The first configuration corresponds to the chassis including a first component, a second component, and a third component. The second configuration corresponds to the chassis including the first component, the second component, but not the third component. The third configuration corresponds to the chassis including the first component, but not the second or third components. The chassis of the first configuration, the chassis of the second configuration and the chassis of the third configuration are identical (i.e., have the same form factor).


At least one of the first configuration, the second configuration, and the third configuration is a mobile configuration.


At least one of the first configuration, the second configuration, and the third configuration is a single user configuration.


At least one of the first configuration, the second configuration, and the third configuration is a multi-user configuration.


In some exemplary embodiments, the welding simulator has a dual user configuration which supports two users simultaneously performing welding training in separate simulated environments.


In some exemplary embodiments, the welding simulator has a single user configuration which is limited to one user at a time performing welding training in a simulated environment.


In some exemplary embodiments, the welding simulator is configured such that the first component is an interface to a mock welding tool.


In some exemplary embodiments, the first configuration includes a first functionality not available in the second configuration.


In an exemplary embodiment, a welding simulator comprises a chassis having a predefined form factor (i.e., size and shape) the chassis being operable to interface with a plurality of external components including at least one mock welding tool and a helmet-mounted display. The chassis further comprises means for processing machine readable instructions to perform certain functions. The welding simulator is configured into one of a first configuration, a second configuration, and a third configuration prior to use. The first configuration corresponds to the chassis including a first component, a second component, and a third component. The second configuration corresponds to the chassis including the first component, the second component, a fourth component, but not the third component. The third configuration corresponds to the chassis including the first component, a fourth component, a fifth component, and not the second or third components. The chassis of the first configuration, the chassis of the second configuration and the chassis of the third configuration are identical (i.e., have the same form factor).


In some exemplary embodiments, the welding simulator is configured with at least one of the components being an interface to an external mock welding tool.


In some exemplary embodiments, the interface is adapted to receive an electronic signal from the mock welding tool wherein the welding simulator further comprises means for processing the electronic signal and generating a graphic representation of a welding tool corresponding to the mock welding tool.


In some exemplary embodiments, first configuration includes a first functionality not available in the second configuration.


In an exemplary embodiment, a welding simulator comprises a chassis operable to interface with a plurality of external components including at least one mock welding tool and a helmet-mounted display. The welding simulator is configured into one of a first configuration, a second configuration, and a third configuration prior to use. The first configuration corresponds to the chassis including a first component, a second component, and a third component. The second configuration corresponds to the chassis including a forth component, a fifth component, a sixth component and not the first, second, or third component. The third configuration corresponds to the chassis including the seventh component, an eighth component, a ninth component, and not the first, second, third, fourth, fifth or sixth components. The chassis of the first configuration, the chassis of the second configuration, and the chassis of the third configuration are identical (i.e., have the same size and shape).


In some exemplary embodiments, the welding simulator is configured such that at least one of the components is an interface to an external mock welding tool.


In some exemplary embodiments, the first configuration includes a first functionality not available in the second configuration.


In an exemplary embodiment, a method of producing a welding simulator comprises providing a chassis having a predefined form factor (i.e., size and shape), wherein the chassis has an interior cavity for housing a plurality of components and logic for executing machine readable instructions. In a first configuration of the chassis, the chassis houses a plurality of first components, and the logic executes first machine readable instructions to provide a first functionality. In a second configuration of the chassis, the chassis houses a plurality of second components, and the logic executes second machine readable instructions to provide a second functionality, but not the first functionality. In a third configuration of the chassis, the chassis houses a plurality of third components, and the logic executes third machine readable instructions to provide a third functionality, but not the first functionality or the second functionality. The method comprises selecting a chassis configuration from the first configuration, the second configuration, or the third configuration; installing in the chassis, one tool connection, if the first configuration is selected; installing in the chassis, one tool connection, if the second configuration is selected; and installing in the chassis, two tool connections, if the third configuration is selected.


In some exemplary embodiments, the method comprises installing a first digital input/output motor module, a first AC input module, and a first DC power module, if the first configuration is selected. In some exemplary embodiments, the method comprises, installing the first digital input/output motor module, the first AC input module, and the first DC power module, if the second configuration is selected. In some exemplary embodiments, the method comprises installing the first digital input/output motor module, a second digital input/output motor module, the first AC input module, a second AC input module, the first DC power module, and a second DC power module, if the third configuration is selected.


In some exemplary embodiments, the tool connection comprises a helmet display connection and a foot switch connection.


In some exemplary embodiments, the tool connection is adapted to receive an electronic signal from a mock welding tool connected to the tool connection, wherein the logic processes the electronic signal and generates a graphic representation of a welding tool corresponding to the mock welding tool.


The method further comprises providing a support having a predefined form factor when the second configuration is selected where the support comprises a second interior cavity and is adapted to attach to a bottom surface of the first chassis and installing support having a predefined form factor when the third configuration is selected, where the support comprises a second interior cavity and is adapted to attach to a bottom surface of the chassis.


In some exemplary embodiments, the method further comprises installing a first set of machine readable instructions that present a single user interface when executed by the logic, if the first configuration is selected; installing a second set of machine readable instruction that presents a single user interface when executed by the logic, if the second configuration is selected; and installing a third set of machine readable instructions that presents a dual user interface when executed by the logic, if the third configuration is selected.


An exemplary embodiment pertains to a reconfigurable mock welding tool that comprises a handle, a plurality of simulated attachable heads, a cable, and electrical connections to enable configuration signals and power to flow between the cable and components of the mock welding tool.


An exemplary embodiment pertains to a mock TIG filler metal device that comprises a filler metal, a sensor affixed to a first end of the filler metal, a sleeve configured to receive a second end of the filler metal and allow the filler metal to be positioned such that only a portion of the filler metal extends beyond the sleeve.





BRIEF DESCRIPTION OF THE DRAWINGS

These and other features of the general inventive concepts will become better understood with regard to the following description and accompanying drawings in which:



FIG. 1 is a diagram of a simulated welding system configured to support a single user according to an exemplary embodiment;



FIG. 2 is a diagram of a chassis and an assortment of mock welding tools connectable to the chassis according to an exemplary embodiment;



FIG. 3 is an exploded view diagram of a configurable mock welding tool according to an exemplary embodiment;



FIG. 4 is a diagram illustrating mock TIG filler wire and a cut-away view of a TIG torch according to an exemplary embodiment;



FIG. 5 is an illustration of a chassis bay of a configurable chassis used in a simulated welding system according to an exemplary embodiment;



FIG. 6 is a chart of components used in the single user simulated welding system of FIG. 1;



FIG. 7 is a diagram of a simulated welding system configured to support two users concurrently according to an exemplary embodiment;



FIG. 8 is a chart of components used in the dual user simulated welding system of FIG. 7;



FIG. 9 is a diagram of a mobile transport or benchtop simulated welding system configured to support a single according to an exemplary embodiment; and



FIG. 10 is a chart of components used in the mobile transport or benchtop simulated welding system of FIG. 9.





DETAILED DESCRIPTION

An exemplary embodiment comprises a simulated welding system which comprises a processor-based subsystem, a spatial tracker operatively connected to the 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 simulated welding system is capable of simulating, in a virtual reality space, operations associated with a real-world welding system. In an exemplary embodiment, these operations can include various different types of welds and non-welding operations. Generally, the simulated welding system may include any or all of the features and capabilities disclosed in the patents and patent applications incorporated by reference in full above.


An exemplary embodiment of a simulated welding training system or simulator 100 is illustrated in FIG. 1. As shown, the system 100 comprises a chassis (also referred to as a console) 102, a welding stand 104, an at least one welding tool 106. A welding helmet 108 is also included in the exemplary system. The welding helmet 108 comprises a face mounted display device that provides images to a user as the user interacts with the simulated welding system 100. As illustrated, the welding stand 104 may comprise a display 110 that can be configured to replicate what is displayed in the face mounted display device and/or can provide an interface used to set up the simulated welding system, provide user performance data, or other user interface functions related to the system 100. The welding stand 104 may also comprise a workpiece holder 112, a position tracking system 114, a work surface (table) 116, and a base 118. The position tracking system 114 serves to track the position of the helmet 108, at least one welding tool 106, and in certain exemplary embodiments, the workpiece. Depending upon the configuration and training method (e.g., VR or AR), the workpiece may be a metal shape with the characteristics of a real workpiece. In other exemplary embodiments, a coupon may represent a real workpiece with the system generating an image that simulates a real workpiece for presentation to the user in the face mounted display device.


In order to provide welding training to a variety of users who may have different training requirements, an exemplary welding training system may comprise a variety of different welding tools 106, welding stands 104, and displays 110 (and face mounted display devices). For example, see FIG. 1 and FIG. 7. Additionally, some exemplary embodiments may be configured in a desktop arrangement as shown in FIG. 9. As a result, the external devices that must connect and be supported by the chassis 102 can vary greatly from one welding training system to the next. Known chassis designs required dedicated arrangements to produce systems similar in capability as the system configurations illustrated in FIGS. 1, 7, and 9. In addition, dedicated interface components were often required for each connection made to the chassis 102. The result was that a number of different chassis configurations were required to produce the various welding training system arrangements. In order to produce these different arrangements in a timely manner, an inventory of different chassis configurations was required to be maintained.


In an exemplary embodiment, a chassis with a predefined form factor (i.e., size and shape), is capable of being configured to interface with a plurality of external components. Such a chassis 102 along with a plurality of external components is illustrated in FIG. 2. As illustrated, the chassis 102 includes interface connections 202, a bay 204 for function modules, and an optional base section 206 that may be configured with wheels 208a and 208b to enable the chassis to easily be relocated.


Because there are multiple welding methods that can be employed (for example, stick welding, TIG welding, and MIG welding), welding training can involve multiple such methods and as a result, simulated welding training systems require the proper mock tools to simulate the various methods. As disclosed in the various incorporated herein, simulated welding training systems generate and display an image appropriate for the tool or tools based on the type of welding being trained. In order to provide a user with the sensation of welding that corresponds to what is being displayed by a simulated welding system, a mock welding tool is provided to the user. These mock welding tools have sensors or markers that are used by the position tracking system 114 to track the location and orientation of the mock welding tool. However, as illustrated, there are a number of different configurations needed. FIG. 2 illustrates mock welding tools such as a stick welding tool 210, a MIG welding tool 212, a TIG torch 214 and a TIG filler metal 216. Also illustrated is a foot pedal 218 that is used to control certain aspects of the welding process, such as, without limitation, the advancement of a wire electrode in a MIG welding tool 212.


As can be observed from FIG. 2, each of these mock welding tools has a different configuration. As would be understood by one of ordinary skill in the art, these mock welding tools represent real-world tools that also have different functionalities. For example, the stick welding tool 210 includes a simulated welding rod 210a. In a real-world welding operation, welding rods are consumable. In order to properly weld with a real-world stick welding tool, a user must be able to compensate for the consumption of the rod. Thus, to properly train the user in a simulated welding environment, the stick-welding tool must simulate the consumption of the welding rod. As a result, this mock welding tool as well as others that have similar functionalities require a control signal from a processor or other control device (processor) located in the chassis 102. To properly provide this control, the processor must be able to identify what sort of mock tool is connected to the chassis. In addition to providing the proper control signals to the mock welding tool, the processor must also identify the mock welding tool so as to provide the correct representation in the simulated environment created for the user. In an exemplary embodiment, the mock welding tool is connected to the chassis 102 with a cable. This cable serves to convey to the chassis 102 information that identifies the type of real-world tool that the mock welding tool represents. Thus, when the tool is connected to the chassis 102 via a connector 202, the processor receives the identifying information from the tool and causes the correct image to be created.


As noted above, a plurality of different tools may be connected to the chassis 102 including, but not limited to, a stick welding tool 210, a MIG welding tool 212, and a TIG torch 214. Instead of requiring a plurality of tools along with an associated plurality of cables and connectors, a configurable mock welding tool may be employed. In an exemplary embodiment, a configurable mock welding tool is adapted to be configurable to represent a plurality of different tool types. Such a configurable mock welding tool 300 is illustrated in FIG. 3, In one exemplary embodiment, a simulated TIG torch 304 serves as a baseline form factor. A handle 302 can be connected to the baseline TIG torch 304 to form a mock TIG torch similar to the dedicated TIG torch 214 of FIG. 2. A MIG form factor can be formed by connecting the handle 302, an extension 306, and a MIG tip 308. A stick welding tool can be formed by connecting the handle 302, the extension 306, and a stick welding head 310. In an exemplary embodiment, electrical contacts are embedded into the various components (handle 302, extension 306, and the TIG torch 304, MIG tip 308, or stick welding head 310) to allow the configuration to be communicated to the chassis 102 via the cable 312. In an exemplary embodiment, these contacts are located at the interface between a first and a second component (for example, at the interface between the handle 302 and the TIG torch 304). Thus, the processor (comprising a computer processor, memory, and storage) of the chassis 102 can detect the configuration of the configurable mock welding tool 300 and generate the correct image to display to a user.


In an exemplary embodiment of the configurable mock welding tool 300, the embedded electrical contacts can also serve to power and control actuators such as a motor that serves to simulate the consumption of the stick of the stick welding head 310 or retract a length of wire used to simulate the consumption of wire used in the MIG tip 308. For example, during a simulation, the processor may determine a rate of consumption of the simulated stick due to simulated welding activity and provide a control signal to the stick welding head 310 that causes the tip of the stick to be retracted towards a body of the stick welding head. This action, combined with a marker or other transmitter located at the end of the stick causes the processor to adjust the position of the tip displayed in a simulated welding environment as well adjust the simulated arc if the user does not compensate by moving the tip of the stick closer to a simulated workpiece.


Like the consumption of the stick in stick welding and the wire in MIG welding, the TIG welding process also consumes a filler wire. As one of ordinary skill in the art will understand, TIG filler wire is ordinarily held in a user's hand and manually fed into the weld joint to fill the joint as needed. In order to enhance the simulation of the TIG welding process and thus the user's training, an exemplary embodiment includes a TIG filler wire that can be retracted away from the work surface as a TIG welding process is simulated. In one exemplary embodiment, a simulated metal wire for TIG welding could be telescoping or collapsible to simulate burn-away as the user moves the wire toward the workpiece. The user positions the end of the filler rod/wire at the sight of the simulated puddle on the simulated workpiece. The filler rod/wire is held in place within the sheath by friction until the user moves the sheath towards the workpiece (or the filler rod/wire can be telescoping or collapsible in another embodiment). The sheath slides over the filler rod/wire as the friction is overcome when the user moves the sheath towards the workpiece with the end of the filler rod/wire pressing against the workpiece at the site of the joint. When a simulated droplet is formed into the simulated puddle, the user can move the sheath back away from the workpiece slightly. The friction between the sheath and the filler wire will pull the tip of the filler wire away from the joint. The user can repeat this process, where the filler wire appears to get shorter over time (as the sheath is getting closer to the workpiece), simulating consumption of the filler wire in a TIG welding process. In an exemplary embodiment, a sensor is located on the simulated filler metal wire or sheath to provide feedback to the simulated welding simulator with respect to how far the wire has been retracted or compressed, indicating how much filler wire has been fed into the weld. A simulated TIG welding process 400 is illustrated in FIG. 4. As is shown, a mock TIG torch 402 is positioned above a joint 404 to be welded in workpiece. A user (not shown) positions a mock TIG filler wire 406 such that in a real-world weld, the filler would melt into the joint 404 to form the weld. In an exemplary embodiment, a wire (filler wire or rod) 408 is positioned within a sheath 410 of the mock TIG filler wire 406. As the user pushes the mock TIG filler wire 406 into the joint 404, the wire 408 is pushed back into the sheath 410, simulating the consumption of the mock TIG filler wire 406 by causing a sensor 412 located at the tip of the mock TIG filler wire 406 to move closer to the user's hand. In another exemplary embodiment, an actuator such as an electric motor can be disposed in the mock TIG filler wire 406. The actuator receives a signal from the controller located in the chassis 102 that causes the wire 408 to retract, moving the sensor 412 to move closer to the user's hand, simulating the consumption of the mock TIG filler wire 406.


In order to support the various configurations described herein, including the various tools 106, some of which may comprise actuators and/or electrical connections that communicate the tool type to the chassis, dedicated interface circuitry may be required. For example, certain mock welding tools would not ordinarily require control signals from the processor the chassis but may require power for a transmitter used by the position tracking system 114 to identify the location and orientation of the mock welding tool. Other tools, such as the MIG tip 308 described herein, may require power and control for an actuator in addition to a transmitter used by the position tracking system 114. Furthermore, as described herein, a simulated welding system may comprise a plurality of welding stands 102, position tracking systems 114, displays 110, and welding tools 106 to support one or more users simultaneously. As was illustrated at 204 in FIG. 2, a bay 204 may be included in the chassis 102 to support various modules required to interface and power tools 106, welding stands 102, displays 111, and other components used by the simulated welding system. FIG. 5 illustrates such a bay 204. A facia plate 502 is illustrated in the bay. Facia plates 502 may be configured to support interface connections 504, controls 506, and display devices 508 according to the needs of the simulated welding system as it may be configured. For example, a single user configuration may comprise interfaces and controls needed for a single user while a dual user configuration may comprise a second set of interfaces and controls needed to support the tools 106, welding stands 102, and displays needed by a second user. In addition to the facia plate, various modules 510 are used to provide control circuitry needed for a particular configuration. For example, a dual user configuration may require a second set of power supply circuits to power devices used by the second user. Thus, a module 510 that includes the second power supply may be added to the chassis 102 by being inserted into a receiving location provided by the bay 204.


In an exemplary embodiment, a simulated welding system 100 as illustrated in FIG. 1, is configured to only support one user at a time. In other words, the system 100 can support a single user interacting with the simulated welding system 100 at any one point in time. Such a system may be used to train a first user, and then when the first user is not interacting with the system, a second user may use the simulated welding system 100. As shown, a single welding stand 104, an assortment of welding tools 106, and a single welding helmet 108 are supported by the system 100 with this configuration of the chassis 102.


The illustrated welding stand 102 includes a display 110. In an exemplary embodiment, a user interacts with the display 110 to make changes to the simulated welding system settings, start training exercises, view scores and reports, and other user interface activity. In an exemplary embodiment, such changes can be made via the display using touch screen functionality. Additionally, a third-party (e.g., and instructor) can observe the performance of the user via the display 110.


In the single user configuration, the chassis 102 is configured to support one simulated (virtual reality) work site which includes the welding stand 104 and table 116, a display 110, and other accessories (such as a welding helmet 108, tools 106, cables, and welding coupons which represent workpieces). FIG. 6 illustrates an exemplary list of components of the single-user simulated welding system 100 of FIG. 1. The list includes components of the welding stand 104 and table 116, tools 106 and other devices, and the chassis 102. In a single user configuration, the chassis 102 is configured to include one digital I/O motor module, one AC input module, one DC power module, and one processor (computer assembly) to support one user. In such an exemplary embodiment, the digital I/O motor module controls a stick welding motor and includes hardware to interface the motor to the processor. The AC input module is configured to distribute AC input power within the chassis 102. The DC power module is configured to distribute DC power within the chassis 102. The processor includes a main computer providing the computing and simulation capability for the single worksite.


In another exemplary embodiment, a simulated welding system 700 as illustrated in FIG. 7, is configured for a dual-users. In other words, the simulated welding system can support two users simultaneously interacting with the simulated welding system 700. Such a system may be used to train two users, where the first user and second user may be performing similar welding operations thus requiring each to have the same or a similar set of welding tools (702A and 702B). Such a system 700 may also support a different welding operation being performed by each user. In other words, the system 700 supports two different users performing welding training at the same time whether in discrete simulated environments or the same simulated environment. As shown, a first welding stand 704, a first assortment of welding tools 702A, a first welding helmet 706, a second welding stand 708, a second set of welding tools 702B, and a second welding helmet 710 are supported by a single chassis 712.


As shown, each welding stand (704 and 708) comprise a display 714 and 716 that allow two users to interact simultaneously with the simulated welding system 700 to make adjustments to settings or otherwise configure, initiate training, or view reports. In certain exemplary embodiments, these display (714 and 716) may be provided with touch screen functionality to facilitate use interaction.


In the dual user configuration, the chassis supports 712 two simulated (virtual reality) work sites which each include a welding stand (704 and 708) and table (718 and 720), a display (714 and 716), a welding helmet (706 and 710) and other accessories (such as tools 702A and 702B, cables, welding coupons which represent workpieces). FIG. 8 illustrates an embodiment of a list of components of the dual-user simulated welding training system 700 of FIG. 7. FIG. 8 includes a listing of components of the welding stand and table, devices, and the chassis 712. In the embodiment illustrated in FIG. 6, the chassis is configured to include two digital I/O motor modules (right/left), two AC input modules (right/left), two DC power modules (right/left), and two processors to support two users. Each digital I/O motor module controls a stick welding motor and includes hardware to interface the motor to the computer. Each AC input module is configured to distribute AC input power within the chassis. Each DC power module is configured to distribute DC power within the chassis. Each processor includes a main computer providing the computing and simulation capability for one of the two worksites.


In another exemplary embodiment, a simulated welding system 900 as illustrated in FIG. 9, is configured for mobile transport or benchtop use. As shown simulated welding system 900 is configured to supporting one user. FIG. 9 also shows a coupon base assembly 902, a coupon riser stand 904, a swing arm 906, and a display 908 adjacent to the chassis 910. In this manner, a user can interact with the display 908 via a touch screen and therefore does not have to repeatedly access the chassis 910 to make changes to the simulated welding system 900 settings.


In the mobile transport or benchtop configuration illustrated, the chassis 910 supports one simulated (virtual reality) mobile transport or benchtop work site which includes a coupon riser stand 902 and 904, a swing arm 906, a display 908, a welding helmet 912 and other accessories (such as tools 914, cables, a foot pedal 916 and welding coupons which represent workpieces). FIG. 10 includes a listing of components of the mobile transport or benchtop simulated welding system 900 of FIG. 9. FIG. 10 lists the components of a benchtop stand and table, devices, and the chassis 910. In the illustrated exemplary embodiment, the chassis 910 is configured to include one digital I/O motor module, one AC input module, one DC power module, and one processor assembly to support one user. The digital I/O motor module controls a stick welding motor and includes hardware to interface the motor to the processor. The AC input module is configured to distribute AC input power within the chassis 910. The DC power module is configured to distribute DC power within the chassis 910. The processor assembly includes a main computer providing the computing and simulation capability for the mobile transport or benchtop worksite.


Thus, as illustrated by the listing of components in FIGS. 6, 8, and 10, a single chassis can be re-configured into one of three possible configurations. Many of the components of the three possible configurations are common to all three configurations, thus saving time and money while providing the possibility of three different configurations. For example, the digital I/O motor module, the AC input module, the DC power module, and the computer assembly are common to all three configurations. In summary, disclosed is modular and reconfigurable chassis for simulating welding training that supports multiple varieties of training systems, including, without limitation, single, dual and desktop arrangements. The invention has been described herein with reference to the disclosed embodiments. Obviously, modifications and alterations will occur to others upon a reading and understanding of this specification. It is intended to include all such modifications and alterations insofar as they come within the scope of the appended claims or the equivalence thereof.

Claims
  • 1. A welding simulator comprising: a chassis having a predefined form factor, the chassis being operable to interface with a plurality of external components including at least one mock welding tool and a helmet-mounted display;wherein the welding simulator is configured into one of a first configuration, a second configuration, and a third configuration prior to use;wherein the first configuration is a multi-user configuration and corresponds to the chassis including a first component, a second component, and a third component, wherein the multi-user configuration supports two users simultaneously performing simulated welding in separate independent and different simulated welding environments;wherein the second configuration is a single user configuration and corresponds to the chassis including the first component, the second component, and not the third component;wherein the third configuration is a mobile configuration that corresponds to the chassis including the first component, and not the second or third components, and wherein, in the mobile configuration, the at least one mock welding tool includes a configurable mock welding tool comprising a handle and a plurality of interchangeable torches including a mock MIG torch, a mock TIG torch, and a mock stick welding head, wherein the handle is attached to the chassis via a cable, and each of the plurality of interchangeable torches includes electrical contacts that conduct a configuration signal to the chassis via the cable, wherein the configuration signal identifies one of the mock MIG torch, the mock TIG torch, and the mock stick welding head as being connected to the handle; andwherein the chassis of the first configuration, the chassis of the second configuration and the chassis of the third configuration have the same form factor.
  • 2. The welding simulator of claim 1, wherein the single user configuration is limited to one user at a time in a simulated environment.
  • 3. The welding simulator of claim 1, wherein the first component is an interface to a mock welding tool.
  • 4. The welding simulator of claim 1, wherein the first configuration includes a first functionality not available in the second configuration.
  • 5. A welding simulator comprising: a chassis having a predefined form factor, the chassis being operable to interface with a plurality of external components including at least one mock welding tool and a helmet-mounted display;the chassis further comprising a means for processing machine readable instructions to perform certain functions;wherein the welding simulator is configured into one of a first configuration, a second configuration, and a third configuration prior to use;wherein the first configuration is a multi-user configuration and corresponds to the chassis including a first component, a second component, and a third component, wherein the multi-user configuration supports two users simultaneously performing simulated welding in separate independent and different simulated welding environments;wherein the second configuration is a single user configuration and corresponds to the chassis including the first component, the second component, a fourth component, and not the third component;wherein the third configuration is a mobile configuration that corresponds to the chassis including the first component, a fourth component, a fifth component, and not the second or third components, and wherein, in the mobile configuration, the at least one mock welding tool includes a configurable mock welding tool comprising a handle and a plurality of interchangeable torches including a mock MIG torch, a mock TIG torch, and a mock stick welding head, wherein the handle is attached to the chassis via a cable, and each of the plurality of interchangeable torches includes electrical contacts that conduct a configuration signal to the chassis via the cable, wherein the configuration signal identifies one of the mock MIG torch, the mock TIG torch, and the mock stick welding head as being connected to the handle; andwherein the chassis of the first configuration, the chassis of the second configuration and the chassis of the third configuration have the same form factor.
  • 6. The welding simulator of claim 5, wherein at least one of the components is an interface to an external mock welding tool.
  • 7. The welding simulator of claim 6, wherein the interface is adapted to receive an electronic signal from the mock welding tool wherein the welding simulator further comprises a means for processing the electronic signal and generating a graphic representation of a welding tool corresponding to the mock welding tool.
  • 8. The welding simulator of claim 5, wherein the first configuration includes a first functionality not available in the second configuration.
  • 9. A method of producing a welding simulator, the method comprising: providing a chassis having a predefined form factor, wherein the chassis has an interior cavity for housing a plurality of components and logic for executing machine readable instructions, wherein: in a first configuration of the chassis, the chassis houses a plurality of first components and the logic executes first machine readable instructions to provide a first functionality, wherein the first configuration is a single user configuration;in a second configuration of the chassis, the chassis houses a plurality of second components and the logic executes second machine readable instructions to provide a second functionality, wherein the second configuration is a mobile configuration, and wherein, in the mobile configuration, the welding simulator includes a configurable mock welding tool comprising a handle and a plurality of interchangeable torches including a mock MIG torch, a mock TIG torch, and a mock stick welding head, wherein the handle is attached to the chassis via a cable, and each of the plurality of interchangeable torches includes electrical contacts that conduct a configuration signal to the chassis via the cable, wherein the configuration signal identifies one of the mock MIG torch, the mock TIG torch, and the mock stick welding head as being connected to the handle;in a third configuration of the chassis, the chassis houses a plurality of third components and the logic executes third machine readable instructions to provide a third functionality, wherein the third configuration is a multi-user configuration that supports two users simultaneously performing simulated welding in separate independent and different simulated welding environments;selecting a chassis configuration from the first configuration, the second configuration, or the third configuration;installing in the chassis, one tool connection if the first configuration is selected;installing in the chassis, one tool connection if the second configuration is selected; andinstalling in the chassis, two tool connections if the third configuration is selected.
  • 10. The method of claim 9, further comprising: installing one digital input/output motor module, one AC input module, and one DC power module if the first configuration is selected;installing one digital input/output motor module, one AC input module, and one DC power module if the second configuration is selected; andinstalling two digital input/output motor modules, two AC input modules, and two DC power modules if the third configuration is selected,wherein each of the AC input modules is configured to distribute AC input power within the chassis.
  • 11. The method of claim 9, wherein the tool connection comprises a helmet display connection and a foot switch connection.
  • 12. The method of claim 9, wherein the tool connection is adapted to receive an electronic signal from a mock welding tool connected to the tool connection and wherein the logic processes the electronic signal and generates a graphic representation of a welding tool corresponding to the mock welding tool.
  • 13. The method of claim 9, further comprising the steps of: installing a first set of machine-readable instructions in the chassis that present a single user interface when executed by the logic if the first configuration is selected;installing a second set of machine-readable instructions in the chassis that present a single user interface when executed by the logic if the second configuration is selected; andinstalling a third set of machine-readable instructions in the chassis that present a dual user interface when executed by the logic if the third configuration is selected.
RELATED APPLICATIONS

The present application is being filed as a non-provisional patent application claiming priority under 35 U.S.C. § 119(e) from, and any other benefit of, U.S. Provisional Patent Application No. 62/659,729 filed on Apr. 19, 2018, the entire disclosure of which is herein incorporated by reference.

US Referenced Citations (478)
Number Name Date Kind
317063 Wittenstrom May 1885 A
428459 Coffin May 1890 A
483428 Goppin Sep 1892 A
1159119 Springer Nov 1915 A
1286529 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
3852917 Mckown Dec 1974 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 et al. 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 Van 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 Degen 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, Jr. 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 et al. May 2001 B1
6236017 Smartt et al. May 2001 B1
6242711 Cooper Jun 2001 B1
6271500 Hirayam 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 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 Jul 2003 B1
6621049 Suzuki Sep 2003 B2
6624388 Blankenship 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
6708385 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
6857553 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
7225414 Sharma et al. May 2007 B1
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
D587975 Aronson et al. Mar 2009 S
7487018 Lee et al. Apr 2009 B2
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 et al. 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 Postlethwaite 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 Dig et al. Apr 2015 B2
9293056 Zboray et al. Mar 2016 B2
9293057 Zboray et al. Mar 2016 B2
9740412 Jung et al. Aug 2017 B2
9779635 Zboray et al. Oct 2017 B2
9836987 Postlethwaite et al. Dec 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
20020005421 Edelson et al. May 2002 A1
20020050984 Roberts May 2002 A1
20020085843 Mann Jul 2002 A1
20020094026 Edelson et al. 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 Dec 2002 A1
20030000931 Ueda Jan 2003 A1
20030002740 Melikian Jan 2003 A1
20030023592 Modica et al. Jan 2003 A1
20030025884 Hamana et al. Feb 2003 A1
20030062354 Ward Apr 2003 A1
20030075534 Okamoto Apr 2003 A1
20030106787 Santilli Jun 2003 A1
20030111451 Blankenship et al. Jun 2003 A1
20030172032 Choquet Sep 2003 A1
20030186199 McCool et al. 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
20040082373 Cole et al. Apr 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
20050103768 Ward May 2005 A1
20050109735 Flood May 2005 A1
20050128186 Shahoian et al. Jun 2005 A1
20050133488 Blankenship 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
20050255914 McHale 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
20060140502 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
20060183083 Moran et al. Aug 2006 A1
20060189260 Sung Aug 2006 A1
20060207980 Jacovetty 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
20070060359 Smith Mar 2007 A1
20070088536 Ishikawa Apr 2007 A1
20070112889 Cook et al. May 2007 A1
20070164007 Peters et al. Jul 2007 A1
20070188606 Atkinson et al. Aug 2007 A1
20070198117 Wajihuddin 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
20080037218 Sharma 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 Oct 2009 A1
20090298024 Batzler 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 et al. 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
20100279771 Block Nov 2010 A1
20100299101 Shimada et al. Nov 2010 A1
20100307249 Lesage et al. Dec 2010 A1
20100314362 Albrecht Dec 2010 A1
20100326962 Calla et al. Dec 2010 A1
20110006047 Penrod Jan 2011 A1
20110048273 Colon Mar 2011 A1
20110052046 Melikian Mar 2011 A1
20110060568 Goldfine Mar 2011 A1
20110062132 Raje et al. Mar 2011 A1
20110082728 Melikian Apr 2011 A1
20110091846 Kreindl et al. Apr 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
20110218024 Baerlocher Sep 2011 A1
20110229864 Short et al. Sep 2011 A1
20110248864 Becker Oct 2011 A1
20110316516 Schiefermuller et al. Dec 2011 A1
20120029674 Hida Feb 2012 A1
20120122062 Yang et al. May 2012 A1
20120189993 Kindig et al. Jul 2012 A1
20120291172 Wills et al. Nov 2012 A1
20120298640 Conrardy et al. 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
20130198334 Ikenaga et al. Aug 2013 A1
20130203029 Choquet Aug 2013 A1
20130206740 Pfeifer et al. Aug 2013 A1
20130209976 Postlethwaite et al. Aug 2013 A1
20130230832 Peters et al. Sep 2013 A1
20130231980 Choquet Sep 2013 A1
20130252214 Eigart et al. Sep 2013 A1
20130288211 Patterson et al. Oct 2013 A1
20130295535 Levy et al. Nov 2013 A1
20130327747 Dantinne Dec 2013 A1
20130342678 McAninch et al. Dec 2013 A1
20140017642 Postlethwaite et al. Jan 2014 A1
20140038143 Daniel Feb 2014 A1
20140042136 Daniel 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 et al. Feb 2015 A1
20150056585 Boulware et al. Feb 2015 A1
20150056586 Penrod Feb 2015 A1
20150072323 Postlethwaite Mar 2015 A1
20150125836 Daniel May 2015 A1
20150194072 Becker et al. Jul 2015 A1
20150194073 Becker et al. Jul 2015 A1
20150235565 Postlethwaite et al. Aug 2015 A1
20150248846 Postlethwaite et al. Sep 2015 A1
20150262511 Lin et al. Sep 2015 A1
20160049085 Beeson Feb 2016 A1
20160093233 Boulware et al. Mar 2016 A1
20160125594 Becker et al. May 2016 A1
20160125763 Becker May 2016 A1
20160203734 Boulware et al. Jul 2016 A1
20160203735 Boulware et al. Jul 2016 A1
20160260261 Hsu Sep 2016 A1
20160331592 Stewart Nov 2016 A1
20160343268 Postlethwaite et al. Nov 2016 A1
20170046977 Becker Feb 2017 A1
20170053557 Daniel Feb 2017 A1
20170200384 Albrecht Jul 2017 A1
Foreign Referenced Citations (132)
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
102202836 Sep 2011 CN
202053009 Nov 2011 CN
202684308 Jan 2013 CN
203503228 Mar 2014 CN
103871279 Jun 2014 CN
104798116 Jul 2015 CN
204470766 Jul 2015 CN
205920627 Feb 2017 CN
106774949 May 2017 CN
206946745 Jan 2018 CN
28 33 638 Feb 1980 DE
30 46 634 Jan 1984 DE
32 44 307 May 1984 DE
35 22 581 Jan 1987 DE
4037879 Jun 1991 DE
196 15 069 Oct 1997 DE
197 39 720 Oct 1998 DE
19834205 Feb 2000 DE
200 09 543 Aug 2001 DE
10 2005 047 204 Apr 2007 DE
102006048165 Jan 2008 DE
10 2010 038 902 Feb 2012 DE
202012013151 Feb 2015 DE
0008527 Jan 1982 EP
0 108 599 May 1984 EP
0 127 299 Dec 1984 EP
0 145 891 Jun 1985 EP
319623 Oct 1990 EP
0852986 Jul 1998 EP
1 527 852 May 2005 EP
1905533 Apr 2008 EP
2 274 736 May 2007 ES
1456780 Mar 1965 FR
2 827 066 Jan 2003 FR
2 926 660 Jul 2009 FR
1 455 972 Nov 1976 GB
1 511 608 May 1978 GB
2 254 172 Sep 1992 GB
2435838 Sep 2007 GB
2 454 232 May 2009 GB
2-224877 Sep 1990 JP
05-329645 Dec 1993 JP
07-047471 Feb 1995 JP
H07214317 Aug 1995 JP
07-232270 Sep 1995 JP
08-505091 Apr 1996 JP
08-150476 Jun 1996 JP
08221107 Aug 1996 JP
08-132274 May 1998 JP
H1133963 Feb 1999 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
2006-006604 Jan 2006 JP
2006175205 Jul 2006 JP
2006-281270 Oct 2006 JP
2007-290025 Nov 2007 JP
2009-500178 Jan 2009 JP
2009160636 Jul 2009 JP
2010-225129 Oct 2010 JP
2010231792 Oct 2010 JP
2012024867 Feb 2012 JP
2012218058 Nov 2012 JP
100876425 Dec 2008 KR
20090010693 Jan 2009 KR
1020090111556 Oct 2009 KR
20110068544 Jun 2011 KR
0112376 Feb 2001 NO
527045 Jul 1995 RU
2317183 Feb 2008 RU
2008 108 601 Nov 2009 RU
1038963 Aug 1983 SU
9845078 Oct 1998 WO
0143910 Jun 2001 WO
0158400 Aug 2001 WO
2004029549 Apr 2004 WO
2005102230 Nov 2005 WO
2005110658 Nov 2005 WO
2006034571 Apr 2006 WO
2007009131 Jan 2007 WO
2007039278 Apr 2007 WO
2009120921 Jan 2009 WO
2009060231 May 2009 WO
2010020867 Aug 2009 WO
2009149740 Dec 2009 WO
2010000003 Jan 2010 WO
2010020870 Feb 2010 WO
2010044982 Apr 2010 WO
2010091493 Aug 2010 WO
2011017608 Feb 2011 WO
2011041037 Apr 2011 WO
2011045654 Apr 2011 WO
2011058433 May 2011 WO
2011059502 May 2011 WO
2011060350 May 2011 WO
2011067447 Jun 2011 WO
2011088412 Jul 2011 WO
2011097035 Aug 2011 WO
2011150165 Dec 2011 WO
2012016851 Feb 2012 WO
2012082105 Jun 2012 WO
2012137060 Oct 2012 WO
2012143327 Oct 2012 WO
2013014202 Jan 2013 WO
2013-025672 Feb 2013 WO
2013061518 May 2013 WO
2013098567 Jul 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
2016-137578 Sep 2016 WO
Non-Patent Literature Citations (224)
Entry
Collins (Lecture 4:Smoothing) (downloaded from: https://web.archive.org/web/20150616212349/http://www.cse.psu.edu/- rtc12/CSE486/lecture04.pdf) (Year: 2015).
IT Media, “Tokyo Game Show 2008: Games aren't just about entertainment,” published Oct. 9, 2008.
Russell and Norvig, “Artificial Intelligence: A Modem Approach”, Prentice-Hall (Copyright 1995).
Mechanisms and Mechanical Devices Source Book, Chironis, Neil Sclater, McGraw Hill; 2nd Addition, 1996.
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.
Bender Shipbuilding and Repair Co. Virtual Welding—A Low Cost Virtual Reality Welding Training System. Proposal submitted pursuant to MSRP Advanced Shipbuilding Enterprise Research Announcement, Jan. 23, 2008. 28 pages, See also, http://www.nsrp.org/6-PresentationsM/D/020409 Virtual Welding Wilbur.pdf.
Aiteanu, Dorian; and Graser, Axel. “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, Petra; Hillers, Bernd; and Graser, Axel “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, Matt. “New Welder Training Tools.” EWI PowerPoint presentation; 16 pages; allegedly 2008.
Fite-Georgel, Pierre. Is there a Reality in Industrial Augmented Reality? 10th IEEE International Symposium on Mixed and Augmented Reality (ISMAR). 10 pages, allegedly 2011.
Hillers, B.; Graser, A. “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, Christian; Gudrun Klinker. “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. Nuermberg. 2003.
Sandor, Christian; Klinker, Gudrun. “Lessons Learned in Designing Ubiquitous Augmented Reality User Interfaces.” 21 gages, 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/2005/031 WJ_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, Dorian; and Graser, Axel. Computer-Aided Manual Welding Using an Augmented Reality Supervisor Sheet Metal Welding Conference XII, Livonia, MI, May 9-12, 2006, 14 pages.
Hillers, Bernd; Aiteanu, Dorin and Graser, Axel “Augmented Reality—Helmet for the Manual Welding Process,” Institute of Automation, University of Bremen, Germany; 21 pages.
Aiteanu, Dorin, Hillers, Bernd and Graser, Axel “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.
B. Hillers, D. Aitenau, P. Tschimer, M. Park, A. Graser, B. Balazs, L. Schmidt, “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 Xlr, American Welding Society Detroit Section, May 2006, 11 pages.
Kenneth Fast, Timothy Gifford, Robert Yancey, “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 for Patent Infringement 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, docket 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 for Patent Infringement 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, docket 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 Company; Lincoln Global, Inc. in Lincoln Electric Co. et al. v. Seabery Soluciones, S.L. et al., Case No. 1:15-cv-01575-DCN; docket No. 46, filed Mar. 22, 2016; 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; docket No. 47, filed Mar. 22, 2016; 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.
Complaint for Patent Infringement in Lincoln Electric Co. et al. v. Seabery Soluciones, S.L. et al., Case No. 1:15-av-01575-DCN, docket No. 1, filed Aug. 10, 2015, in the U.S. District Court for the Northern District of Ohio; 81 pages.
Kobayashi, Ishigame, and Kato, “Simulator of Manual Metal Arc Welding with Haptic Display” (“Kobayashi 2001”), Proc. of the 11th International Conf. on Artificial Reality and Telexistence (ICAT), Dec. 5-7, 2001, pp. 175-178, Tokyo, Japan.
Wahi, Maxwell, and Reaugh, “Finite-Difference Simulation of a Multi-Pass Pipe Weld” (“Wahi”), 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. httpl/www.swantec.com/technology/numerical-simulation/.
Catalina, Stefanescu, Sen, and Kaukler, Interaction of Porosity with a Planar Solid/Liquid Interface (Catalina),), Metallurgical and Materials Transactions, vol. 35A, May 2004, pp. 1525-1538.
Fletcher Yoder Opinion re RE45398 and U.S. Appl. No. 14/589,317; including appendices; Sep. 9, 2015; 1700 pages.
Kobayashi, Ishigame, and Kato, “Skill Training System of Manual Arc Welding by Means of Face-Shield-Like HMD anti Virtual Electrode” (“Kobayashi 2003”), 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.
“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.
Extended European Search Report from Corresponding Application No. EP19170154.9; dated Jul. 8, 2019; pp. 1-7.
Extended European Search Report from Corresponding Application No. EP19170017.8; dated Jul. 8, 2019; pp. 1-7.
Extended European Search Report from Corresponding Application No. EP19170161.4; dated Jul. 9, 2019; pp. 1-8.
SIMFOR / CESOL, “RV-SOLD” Welding Simulator, Technical and Functional Features, 20 pages, date unknown.
Weldplus, Welding Simulator, 2 pages, printed Jan. 14, 2015.
Robert 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, 64 pages.
Hills and Steele, Jr.; “Data Parallel Algorithms”, Communications of the ACM, Dec. 1986, vol. 29, No. 12, p. 1170.
Nancy C. Porter, J. Allan Cote, Timothy D. Gifford, and Wim Lam, Virtual Reality Welder Training, 29 pages, dated Jul. 14, 2006.
J.Y. (Yosh) Mantinband, Hillel Goldenberg, Llan Kleinberger, Paul Kleinberger, Autosteroscopic, field-sequential display with full freedom of movement OR Let the display were the shutter-glasses, 3ality (Israel) Ltd., 8 pages, 2002.
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.
D.K. Aidun and S.A. Martin, “Penetration in Spot GTA Welds during Centrifugation,” Journal of Material Engineering and Performance vol. 7(5), 4 pages, Oct. 1998—597.
Arc+ simulator; httl://www.123arc.com/en/depliant_ang.pdf; 2 pages, 2000.
Glen Wade, “Human uses of ultrasound: ancient and modern”, Ulrasonics vol. 38, 5 pages, dated 2000.
ASME Definitions, Consumables, Welding Positions, 4 pages, dated Mar. 19, 2001. See http://www.gowelding.com/asme4.htm.
M. Abbas, F. Waeckel, Code Aster (Software) EDF (France), 14 pages, Oct. 2001.
Achim Mahrle, Jurgen Schmidt, “The influence of fluid flow phenomena on the laser beam welding process” International Journal of Heat and Fluid Flow 23, 10 pages, dated 2002.
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; 4 pages, Issue Date Feb. 2012.
WeldWatch Software/Visible Welding; website printout; http://visiblewelding.com/weldwatch-software/; 4 pages; 2015.
Desroches, X.; Code-Aster, Note of use for aclculations of welding; Instruction manual U2.03 booklet: Thermomechincal; Document: U2.03.05; 13 pages, Oct. 1, 2003.
Fast, K. et al., “Virtual Training for Welding”, Mixed and Augmented Reality, 2004, ISMAR 2004, Third IEEE and SM International Symposium on Arlington, VA, 2 pages, Nov. 2-5, 2004.
Cooperative Research Program, Virtual Reality Welder Training, Summary Report SR 0512, 4 pages, Jul. 2005.
Porter, et al., Virtual Reality Training, Paper No. 2005-P19, 14 pages, 2005.
Eduwelding+, Weld Into the Future; Online Welding Seminar—A virtual training environment; 123arc.com; 4 pages, 2005.
Miller Electric Mfg Co.; MIG Welding System features weld monitoring software; NewsRoom 2010 (Dialog® File 992); © 2011 Dialog. 2010; http://www.dialogweb.com/cgi/dwclient?reg=133233430487; three (3) pages; printed Mar. 8, 2012.
M. Abida and M. Siddique, 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.
Abbas, M et al..; Code_Aster; Introduction to Code_Aster; User Manual; Booklet U1.0-: Introduction to Code_Aster; Document: U1.02.00; Version 7.4; 14 pages, Jul. 22, 2005.
Mavrikios D 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, 8 pages, Apr. 1, 2006, pp. 294-300.
Nancy C. Porter, Edison Welding Institute; J. Allan Cote, General Dynamics Electric Boat; Timothy D. Gifford, VRSim; and Wim Lam, FCS Controls; Virtual Reality Welder Trainer, Session 5: Joining Technologies for Naval Applications, 16 pages, earliest date Jul. 14, 2006.
T Borzecki, G. Bruce, Y.S. Han, M. Heinemann, A. Imakita, L. Josefson, W. Nie, D. Olson, F. Roland, and Y. Takeda, 16th International Shop and Offshore Structures Congress: Aug. 20-25, 2006: Southhampton, UK, 49 pages, vol. 2 Specialist Committee V.3 Fabrication Technology Committee Mandate.
Ratnam and Khalid: “Automatic classification of weld defects using simulated data and an MLP neutral network.” Insight vol. 49, No. 3; 6 pages, Mar. 2007.
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, 5 pages, p. 954-958.
CS Wave, The Virtual Welding Trainer, 6 pages, 2007.
Asciencetutor.com, A division of Advanced Science and Automation Corp., VWL (Virtual Welding Lab), 2 pages, 2007.
Eric Linholm, John Nickolls, Stuart Oberman, and John Montrym, “NVIDIA Testla: A Unifired Graphics and Computing Architecture”, IEEE Computer Society, 17 pages, 2008.
NSRP ASE, Low-Cost Virtual Realtiy Welder Training System, 1 Page, 2008.
Edison Welding Institute, E-Weld Predictor, 3 pages, 2008.
CS Wave, A Virtual learning tool for welding motion, 10 pages, Mar. 14, 2008.
The Fabricator, Virtually Welding, Training in a virtual environment gives welding students a leg up, 4 pages, Mar. 2008.
N. A. Tech., P/NA.3 Process Modeling and Optimization, 11 pages, Jun. 4, 2008.
FH Joanneum, Fronius—virtual welding, 2 pages, May 12, 2008.
Eduwelding+, Training Activities with arc+ simulator; Weld Into The Future, Online Welding Simulator—A virtual training environment; 123arc.com; 6 pages, May 2008.
ChemWeb.com, Journal of Materials Engineering and Performance (v.7, #5), 3 pgs., printed Sep. 26, 2012.
Choquet, Claude; “ARC+: Today's Virtual Reality Solution for Welders” Internet Page, 6 pages, Jan. 1, 2008.
Juan Vicenete Rosell Gonzales, “RV-Sold: simulator virtual para la formacion de soldadores”; Deformacion Metalica, Es. Vol 34, No. 301, 14 pages, Jan. 1, 2008.
White et al., Virtual welder training, 2009 IEEE Virtual Reality Conference, 1 page, p. 303, 2009.
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, 4 pages.
Sim Welder, Train better welders faster, retrieved on Apr. 12, 2010 from: http://www.simwelder.com.
P. Beatriz Garcia-Allende, Jesus Mirapeix, Olga M. Conde, Adolfo Cobo and Jose M. Lopez-Higuera; Defect Detection in Arc-Welding Processes by Means of the Line-to-Continuum Method and Feature Selection; www.mdpi.com/joumal/sensors; 2009; 18 pages; Sensors 2009, 9, 7753-7770; doi; 10.3390/s91007753.
Production Monitoring 2 brochure, four (4) pages, The Lincoln Electric Company, May 2009.
Bjorn G. Agren; Sensor Integration for Robotic Arc Welding; 1995; vol. 5604C of Dissertalions 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.
J. Hu and Hi Tsai, 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.
M. Ian Graham, Texture Mapping, Carnegie Mellon University Class 15-462 Computer Graphics, Lecture 10, 53 pages, dated Feb. 13, 2003.
Chuansong Wu: “Microcomputer-based welder training simulator”, Computers in Industry, vol. 20, No. 3, Oct. 1992, 5 pages, pp. 321-325, XP000205597, Elsevier Science Publishers, Amsterdam, NL.
ViziTech USA, retrieved on Mar. 27, 2014 from http://vizitechusa.com/, 2 pages.
Guu and Rokhlin ,Technique for Simultaneous Real-Time Measurements of Weld Pool Surface Geometry and Arc Force. 10 pages, Dec. 1992.
William T. Reeves, “Particles Systems—A Technique for Modeling a Class of Fuzzy Objects”, Computer Graphics 17:3 pp. 359-376, 1983, 17 pages.
S.B. Chen, L. Wu, Q. L. Wang and Y. C. Liu, Self-Learning Fuzzy Neural Networks and Computer Vision for Control of Pulsed GTAW, 9 pages, dated May 1997.
Patrick Rodjito, Position tracking and motion prediction using Fuzzy Logic, 81 pages, 2006, Colby College.
D'huart, Deat, and Lium; Virtual Environment for Training, 6th International Conference, ITS 20002, 6 pages, Jun. 2002.
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.
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.
Ml. Jonsson, L. Karlsson, and L-E Lindgren, Simulation of Tack Welding Procedures in Butt Joint Welding of Plates Welding Research Supplement, Oct. 1985, 7 pages.
ISAAC Brana Veiga, Simulation of a Work Cell in the IGRIP Program, dated 2006, 50 pages.
Balijepalli, A. and Kesavadas, Haptic Interfaces for Virtual Environment and Teleoperator Systems, Haptics 2003, Department of Mechanical & Aerospace Engineering, State University of New York at Buffalo, NY.
Johannes Hirche, Alexander Ehlert, Stefan Guthe, Michael Doggett, Hardware Accelerated Per-Pixel Displacement Mapping, 8 pages.
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.
Steve Mann, Raymond Chun Bing Lo, Kalin Ovtcharov, Shixiang Gu, David Dai, Calvin Ngan, Tao Ai, Realtime HDR (High Dynamic Range) Video for Eyetap Wearable Computers, 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.
KYT Dotson, Augmented Reality Welding Helmet Prototypes How Awsome 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.
Terrence 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.
T. Borzecki, G. Bruce, YS. Han, 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.
G. Wang, P.G. Huang, and Y.M. Zhang: “Numerical Analysis of Metal Transfer in Gas Metal Arc Welding” Departments of Mechanical Engineering; and Electrical and Computer Engineering, University of Kentucky, Lexington, KY 40506- 0108, 10 pages, Dec. 10, 2001.
Echtler et al., “The Intelligent Welding Gun: Augmented Reality for Experimental Vehicle Construction,” Virtual and Augmented Reality Applications in Manufacturing (2003) pp. 1-27.
Teeravarunyou et al., “Computer Based Welding Training System,” International Journal of Industrial Engineering (2009) 16(2): 116-125.
Antonelli et al., “A Semi-Automated Welding Station Exploiting Human-Robot Interaction,” Advanced Manufacturing Systems and Technology (2011) pp. 249-260.
Praxair Technology Inc, “The RealWeld Trainer System: Real Weld Training Under Real Conditions” Brochure (2013) 2 pages.
Xie et al., “A Real-Time Welding Training System Base on Virtual Reality,” Wuhan Onew Technology Co., Lid, IEEE Virtual Reality Conference 2015, Mar. 23-27, Arles France, pp. 309-310.
Lincoln Global, Inc., “VRTEX 360: Virtual Reality Arc Welding Trainer” Brochure (2015) 4 pages.
Wuhan Onew Technology Co Ltd, “ONEW-360 Welding Training Simulator” http://en.onewtech.com/_d276479751.htm as accessed on Jul. 10, 2015, 14 pages.
The Lincoln Electric Company, “VRTEX Virtual Reality Arc Welding Trainer,” http://www.lincolnelectric.com/en-us/equipment/training-equipment/Pages/vrtex.aspx as accessed on Jul. 10, 2015, 3 pages.
Miller Electric Mfg Co, “LiveArc: Welding Performance Management System” Owner's Manual, (Jul. 2014) 64 pages.
Miller Electric Mfg Co, “LiveArc Welding Performance Management System” Brochure, (Dec. 2014) 4 pages.
Bargteil et al., “A Texture Synthesis Method for Liquid Animations,” Eurographics/ ACM SIGGRAPH Symposium on Computer Animation, 2006, pp. 345-351.
Aidun, Daryush K “Influence of simulated high-g on the weld size of Al-Li-Alloy” Acta Astronautica, vol. 48, No. 2-3, pp. 153-156, 2001.
Boss (engineering), Wikipedia, 1 page, printed Feb. 6, 2014.
CS Wave, Product Description, 2 pages, printed Jan. 14, 2015.
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.
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.
Fillet weld, Wikipedia, 3 pgs, printed Feb. 6, 2014.
Fronius, Virtual Welding, 8 pages, printed Jan. 14, 2015.
Fronius, Virtual Welding, The Welder Training of the Future, 8 page brochure, 2011.
The Goodheart-Wilcox Co., Inc., Weld Joints and Weld Types, Chaper 6; pp. 57-68; date unknown.
Kemppi ProTrainer, product data, 3 pages, printed Jan. 14, 2015.
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.
Narayan et al., “Computer Aided Design and Manufacturing,” pp. 3-4, 14-15, 17-18, 92-95, and 99-100, Dec. 31, 2008.
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.
Seabury Soluciones, SOLDAMATIC Welding Trainer Simulator, 30 pages, printed Jan. 14, 2015.
Terebes; Institute of Automation; University of Bremen; Project Motivation Problems Using Traditional Welding Masks; 2 page ; 2015.
Weld nut, Wikipedia, 2 pgs, printed Feb. 6, 2014.
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.
Fujita et al., “Simulation Teaching Materials for the Mastery of Advanced Skills in Welding Torch Operation,” IEICE Technical Report vol. 104, No. 48, Institute of Electronics, Information and Communication Engineers (IEICE), May 7, 2004.
Andreas Grahn, “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.
Marcus Vestedund, “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.
M. Muller et al., “Point Based Animation of Elastic, Plastic and Melting Objects,” Eurographics/ACM SIGGRAPH Symposium on Computer Animation (2004); 11 pages.
Andrew Nealen, “Point-Based Animation of Elastic, Plastic, and Melting Objects,” CG topics, Feb. 2005; 2 pages.
D. Tonnesen, Modeling Liquids and Solids using Thermal Particles, Proceedings of Graphics Interface'91, pp. 255-262, Calgary, Alberta, 1991.
DUDA 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 Daito L. 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, Claude. “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.
Dorin 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 Daito L et al. “CS Wave A Virtual learning tool for the welding motion,” Mar. 14, 2008; 10 pages.
Nordruch, Stefan et al. “Visual Online Monitoring of PGMAW Without a Lighting Unit”, Jan. 2005; 14 pages.
The Evolution of Computer Graphics; Tony Tamasi, NVIDIA, 2008; 36 pages.
VRSim Powering Virtual Reality, www.lincolnelectric.com/en-us/eguipment/training-eguipment/Pages/powered-by-'rsim.aspx, 2016, 1 page.
Hillers, B.; Graser, A. “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.
Adams et., “Adaptively Sampled Particle Fluids,” ACM Transactions on Graphics, vol. 26, No. 3, Article 48, Jul. 2007, pp. 48.1-48.7.
ARC+—Archived Press Release from WayBack Machine from Jan. 31, 2008-Apr. 22, 2013, Page, https://web.3rchive.org/web/20121006041803/http://www.123certification.com/en/article_press/index.htm, Jan. 21, 2016, 3 pages.
P. 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.
Y. 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.
Larry Jeffus, “Welding Principles and Applications,” Sixth Edition, 2008, 10 pages.
R.J. Renwick et al., “Experimental Investigation of GTA Weld Pool Oscillations,” Welding Research—Supplement to the Welding Journal, Feb. 1983, 7 pages.
Matt Phar, “GPU Gems 2 Programming Techniques for High-Performance Graphics and General-Purpose Computation,” 2005, 12 pages.
Yaoming, “Applications of Microcomputer in Robot Technology,” Scientific and Technical Documentation Press, Sep. 1987, pp. 360-365.
Thurey et al., “Real-time Breaking Waves for Shallow Water Simulations,” Proceedings of the Pacific Conference on Computer Graphics and Applications, Maui, Hawaii, Oct. 29-Nov. 2, 2007, 8 pages.
Stam, “Stable Fluids,” SIGGRAPH 99 Conference Proceedings, Annual Conference Series, Aug. 1999, 121-128.
Rasmussen et al., “Directable Photorealistic Liquids,” Eurographics/ACM SIGGRAPH Symposium on Computer Animation (2004), pp. 193-202.
Premoze et al., “Particle-Based Simulation of Fluids,” EUROGRAPHICS, vol. 22, No. 3 (2003), 10 pages.
O'Brien et al., “Dynamic Simulation of Splashing Fluids,” Proceedings of Computer Animation '95, Apr. 19-21, 1995, in Geneva, Switzerland, pp. 198-205.
Muller et al., “Particle-Based Fluid Simulation for Interactive Applications,” Eurographics/SIGGRAPH Symposium on Computer Animation (2003), pp. 154-159 and 372.
Klinger et al., “Fluid Animation with Dynamic Meshes,” Computer Graphics Proceedings, Annual Conference Series, Jul. 30-Aug. 3, 2006, 820-825.
Kass et al., “Rapid, Stable Fluid Dynamics for Computer Graphics,” Computer Graphics, vol. 24, No. 4, Aug. 1990, pp. 49-57.
Irving et al., “Efficient Simulation of Large Bodies of Water by Coupling Two and ThreeDimensional Techniques,” ACM Transactions on Graphics (TOG), vol. 25, Issue 3, Jul. 2006, pp. 805-811.
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.
Goktekin et al., “A Method for Animating Viscoelastic Fluids,” Computer Graphics Proceedings, Annual Conference Series, Aug. 8-12, 2004, pp. 1-6.
Foster et al., “Realistic Animation of Liquids,” Graphical Models and Image Processing, vol. 58, No. 5, Sep. 1996, pp. 471-483.
Foster et al., “Practical Animation of Liquids,” ACM SIGGRAPH, Aug. 12-17, 2001, Los Angeles, CA, pp. 23-30.
Feldman et al., “Fluids in Deforming Meshes,” Eurographics/ACM SIGGRAPH Symposium on Computer Animation (2005), pp. 255-259.
Feldman et al., “Animating Suspended Particle Explosions,” Computer Graphics Proceedings, Annual Conference Series, Jul. 27-31, 2003, pp. 1-8.
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.
Communication pursuant to Article 94(3) EPC from EP Application No. 19170017.8 dated Apr. 1, 2021.
Communication pursuant to Article 94(3) EPC from EP Application No. 19170161.4 dated Apr. 1, 2021.
Communication pursuant to Article 94(3) EPC from EP Application No. 19170585.4 dated Apr. 14, 2021.
Office Action from U.S. Appl. No. 16/366,324 dated Mar. 26, 2021.
Office Action from U.S. Appl. No. 16/366,300 dated Mar. 26, 2021.
Office Action from U.S. Appl. No. 16/366,275 dated Sep. 3, 2021.
Office Action from U.S. Appl. No. 16/366,324 dated Sep. 28, 2021.
Office Action from U.S. Appl. No. 16/366,300 dated Oct. 1, 2021.
Office Action from U.S. Appl. No. 16/366,275 dated Mar. 4, 2022.
Office Action from CN Application No. 201910308278.8 dated Mar. 1, 2022.
Office Action from CN Application No. 201910308996.5 dated Mar. 3, 2022.
Office Action from CN Application No. 201910308188.9 dated Mar. 16, 2022.
Office Action from U.S. Appl. No. 16/366,300 dated May 10, 2022.
Office Action from CN Application No. 201910308996.5 dated Sep. 20, 2022.
Office Action from CN Application No. 201910308278.8 dated Sep. 23, 2022.
Office Action from EP Application No. 19170154.9 dated Oct. 5, 2022.
Related Publications (1)
Number Date Country
20190325784 A1 Oct 2019 US
Provisional Applications (1)
Number Date Country
62659729 Apr 2018 US