Welding job sequencer

Information

  • Patent Grant
  • 10496080
  • Patent Number
    10,496,080
  • Date Filed
    Thursday, June 4, 2015
    9 years ago
  • Date Issued
    Tuesday, December 3, 2019
    4 years ago
Abstract
A semi-automatic welding work cell, including a welding job sequencer that automatically selects a welding schedule for use by an operator in the semi-automatic welding work cell. The automatic selection may be by way of elapsed time, a detection of welding operations, a detection of the amount of welding wire supplied for the welding operation, or a detection of the amount of energy supplied for the welding operation.
Description
BACKGROUND OF THE INVENTION

1. Field of the Invention


Devices, systems, and methods consistent with the invention relate to semi-automatic welding work cells.


2. Description of the Related Art


In the related art, work cells are used to produce welds or welded parts. There are at least two broad categories of work cells, including robotic work cells and semi-automatic work cells.


In robotic work cells, the scheduling and performing of welding operations is largely automated, with little operator involvement. Thus, these cells generally have a relatively low labor cost and a relatively high productivity. However, their repeating operations cannot easily adapt to varying welding conditions and/or sequences.


In contrast, semi-automatic work cells (i.e., work cells involving at least some operator welding) generally provide less automation vis-à-vis robotic work cells, and accordingly have a relatively higher labor cost and a relatively lower productivity. Nevertheless, there are many instances where using a semi-automatic welding work cell can actually be advantageous over robotic work cells. For example, a semi-automatic welding work cell can more easily adapt to varying welding conditions and/or sequences.


Unfortunately, when welding more complex assemblies in related art semi-automatic work cells, multiple different welding schedules are often required for different types of welds on different parts of an assembly. In many systems, when a different welding schedule must be utilized, the operator is required to stop welding operations and manually adjust the output of the semi-automatic equipment according to the new schedule. In some other systems, this manual adjustment is eliminated by storing particular schedules in the work cell. Nevertheless, even in such systems, the operator still needs to cease welding operations and push a button to select the new welding schedule before he may continue welding.


Neither of these practices for setting a different welding schedule is particularly efficient. Thus, in practice, the number of welding schedules used in a semi-automatic work cell is often reduced in order to eliminate the need for constant adjustment of the output of the semi-automatic equipment. While this reduction of welding schedules makes the overall operation easier for the welder, the forced simplification of this approach can lead to reduced productivity and lower overall quality.


Additionally, when abiding by strict quality control specifications, it is sometimes necessary to perform welds in a specific sequence, verify that each weld is performed with a given set of conditions, and monitor the output of the equipment during the welding operations. In a robotic work cell, these requirements are easily fulfilled. However, in a semi-automatic work cell, these requirements are susceptible to human error, since the operator must keep track of all of these aspects in addition to performing the welding operations themselves.


An illustrative example of the above problems is shown in the related art semi-automatic welding method diagrammatically represented in FIG. 1. In this method, each of the various scheduling, sequencing, inspection and welding operations are organized and performed by the operator (i.e., the welder) himself. Specifically, the operator begins the welding job at operation 10. Then, the operator sets up the welding equipment according to schedule A, at operation 20. Next, the operator performs weld #1, weld #2, and weld #3 using welding schedule A at operations 22, 24 and 26. Then, the operator stops welding operations and sets up the welding equipment according to schedule B at operation 30. Next, the operator performs weld #4 using welding schedule B at operation 32. Then, the operator checks the dimensions of the assembly at operation 40, and sets up the welding equipment according to schedule C at operation 50. Next, the operator performs weld #5 and weld #6 using welding schedule C at operations 52 and 54. After the welding operations are completed, the operator visually inspects the welded assembly at operation 60, and completes the welding job at operation 70.


Clearly, the method shown in FIG. 1 depends on the operator to correctly follow the predefined sequencing for performing welds and inspections, to accurately change between welding schedules (such as at operation 30), and to perform the welding itself. Errors in any of these responsibilities can result either in rework (if the errors are caught during inspection at operation 60) or a defective part being supplied to the end user. Further, this exemplary semi-automatic welding method hampers productivity, because the operator must spend time configuring and reconfiguring weld schedules.


The above problems demand an improvement in the related art system.


BRIEF SUMMARY OF THE INVENTION

According to an aspect of the invention, there is provided a semi-automatic welding work cell including a welding job sequencer that automatically selects a welding schedule for use by an operator in the semi-automatic welding work cell.


According to another aspect of the invention, there is provided a method of welding in a semi-automatic work cell, including automatically selecting a welding schedule for use by an operator in the semi-automatic welding work cell.


According to another aspect of the invention, there is provided a welding production line including at least one semi-automatic welding work cell, where the semi-automatic work cell includes a welding job sequencer that automatically selects a welding schedule for use by an operator therein.


According to another aspect of the invention, there is provided a method of monitoring a welding production line, including automatically selecting a welding schedule for use by an operator in a semi-automatic welding work cell.


The above stated aspect, as well as other aspects, features and advantages of the invention will become clear to those skilled in the art upon review of the following description.





BRIEF DESCRIPTION OF THE DRAWINGS

The above and/or other aspects of the invention will be more apparent by describing in detail exemplary embodiments of the invention with reference to the accompanying drawings, in which:



FIG. 1 illustrates a welding operation of the related art utilizing a semi-automatic welding work cell; and



FIG. 2 illustrates a welding operation according to the invention utilizing a semi-automatic welding work cell.





DETAILED DESCRIPTION OF EXEMPLARY EMBODIMENTS

Exemplary embodiments of the invention will now be described below by reference to the attached Figures. The described exemplary embodiments are intended to assist the understanding of the invention, and are not intended to limit the scope of the invention in any way. Like reference numerals refer to like elements throughout.


In an exemplary embodiment of the invention, a welding job sequencer is provided. The welding job sequencer improves the semi-automatic work cell of the related art by increasing the productivity of the semi-automatic work cell without compromising the number of weld schedules usable therein. The welding job sequencer accomplishes this improvement by implementing automatic changes in the semi-automatic work cell, and by providing the operator with an array of commands and instructions.


More specifically, in an exemplary embodiment, the welding job sequencer automatically selects and implements a function of the welding work cell. An example of such a function includes a particular weld schedule to be used with the semi-automatic work cell. In other words, the welding job sequencer may select a weld schedule to be used for a particular weld, and modify the settings of the semi-automatic work cell in accordance with the selected weld schedule, automatically for the operator (i.e., without the operator's specific intervention).


Additionally, in the exemplary embodiment, the welding job sequencer may automatically indicate a sequence of operations that the operator should follow to create a final welded assembly. In conjunction with the automatic selection of welding schedules, this indicated sequence allows an operator to follow the sequence to create a final welded part, without having to spend time adjusting, selecting, or reviewing each individual weld schedule and/or sequence.


Accordingly, since the welding job sequencer sets up the welding equipment and organizes the workflow, and since the operator only performs the welding operations themselves, the chance for error in the welding operation is greatly reduced, and productivity and quality are improved.


The exemplary embodiment is diagrammatically represented in FIG. 2. In FIG. 2, at operation 110, the welding job sequencer begins operation, and immediately sets the welding equipment to use weld schedule A (operation 120) and instructs the operator to perform welds #1, #2 and #3. Then, the operator performs welds #1, #2 and #3 using weld schedule A (operations 122, 124 and 126). Next, the welding job sequencer sets the welding equipment to use weld schedule B (operation 130), and instructs the operator to perform weld #4. Then the operator performs weld #4 using weld schedule B (operations 132). After completion of weld schedule B, the welding job sequencer sets the welding equipment to use weld schedule C (operation 150), and instructs the operator to perform welds #5 and #6, and to inspect the part. Then, the operator performs welds #5 and #6 (operations 152, and 154) using weld schedule C, and inspects the completed part to confirm that it is correct (operation 160). This inspection may include dimensional verification, visual defect confirmation, or any other type of check that might be needed. Further, operation 160 may include a requirement that the operator affirmatively indicate that the inspection is complete, such as by pressing an “OK” button, before it is possible to proceed to the next operation. Lastly, the welding job sequencer indicates that the welding operation is at an end (operation 170), and re-sets for the next operation.


Accordingly, as noted above, the sequencing and scheduling of welding operations is completed by the sequencer, and frees the operator to focus on performing welds according to instruction.


The welding job sequencer may select and implement a new function, such as the selection and implementation of weld schedules A, B and C shown in FIG. 2, based upon various variables or inputs. For example, the welding job sequencer may simply select new weld schedules based upon a monitoring of elapsed time since the beginning of the welding operations, or since the cessation of welding (such as the time after weld #3 in FIG. 2 above). Alternatively, the welding job sequencer may monitor the actions of the operator, compare the actions to the identified sequence of welds, and select new weld schedules appropriately. Still further, various combinations of these methods, or any other effective method, may be implemented, as long as the end effect is to provide an automatic selection and implementation of a function, such as the weld schedule, for use by the operator.


Parameters of the selected weld schedule may include such variables as welding process, wire type, wire size, WFS, volts, trim, which wire feeder to use, or which feed head to use, but are not limited thereto.


While the above description focuses on the selection of a weld schedule as a function which is automatically selected and implemented, the welding job sequencer is not limited to using only this function.


For example, another possible function that may be selected and implemented by the welding job sequencer is a selection of one of multiple wire feeders on a single power source in accordance with the weld schedule. This function provides an even greater variability in welding jobs capable of being performed by the operator in the semi-automatic work cell, since different wire feeders can provide a great variance of, for example, wire sizes and types.


Another example of a function compatible with the welding job sequencer is a Quality Check function. This function performs a quality check of the weld (either during welding or after the weld is completed) before allowing the job sequence to continue. The quality check can monitor various welding parameters and can pause the welding operation and alert the operator if an abnormality is detected. An example of a welding parameter measurable by this function would be arc data.


Another example of such a function would be a Repeat function. This function would instruct the operator to repeat a particular weld or weld sequence. An example of the use of this function includes when the Quality Check function shows an abnormality, or when multiple instances of the same weld are required.


Another example of such a function would be a Notify Welder function, which communicates information to the welder. This function would display information, give an audible signal, or communicate with the welder by some other means. Examples of use of this function include an indication to the operator that he is free to begin welding, or an indication that the operator should check some portion of the welded part for quality purposes.


Another example of such a function would be a Enter Job Information function. This function will require the welder to enter information, such as the part serial number, a personal ID number, or other special conditions before the job sequencer can continue. This information could also be read from a part or inventory tag itself through RFID, bar code scanning, or the like. The welding job sequencer could then utilize the entered information for the welding operations. An example of the use of this function would be as a predicate to the entire welding operation, so as to indicate to the welding job sequencer which schedules and/or sequences should be selected.


A further example of such a function would be a Job Report function. This function will create a report on the welding job, which could include information such as: the number of welds performed, total and individual arc timing, sequence interruptions, errors, faults, wire usage, arc data, and the like. An example of the use of this function would be to report to a manufacturing quality department on the efficiency and quality of the welding processes.


A still further example of such a function would be a System Check function. This function will establish whether the welding job can continue, and could monitor such parameters as wire supply, gas supply, time left in the shift (as compared to the required time to finish the job), and the like. The function could then determine whether the parameters indicate that there is enough time and/or material for the welding job to continue. This function would prevent down-time due to material depletion, and would prevent work-in-process assemblies from being delayed, which can lead to quality problems due to thermal and scheduling issues.


Further, as mentioned above, the welding job sequencer may select and implement a new function, based upon various variables or inputs. These variables and inputs are not particularly limited, and can even be another function. For example, another function compatible with the welding job sequencer is a Perform Welding Operation function. This function is designed to detect the actual welding performed by the operator, and to report that welding so that the welding job sequencer can determine whether to proceed with further operations. For example, this function can operate by starting when the operator pulls the trigger to start the welding operation, and finishing when the operator releases the trigger after the welding is complete, or after a predetermined period of time after it starts. This function could end when the trigger is released or it could be configured to automatically turn off after a period of time, a quantity of wire, or an amount of energy is delivered. This function may be used to determine when to select a new function, such as a new weld schedule, as discussed above.


Still further, various semi-automatic and/or robotic work cells can be integrated together on a single network, and the sequencing of welding steps at a single work-cell can be fully integrated into a complete production schedule, which itself can be modified as needed to track variations in the production schedule. Sequencing and/or scheduling information can also be stored in a database, be stored by date as archival information, and be accessed to provide various production reports.


While the invention has been particularly shown and described with reference to exemplary embodiments thereof, the invention is not limited to these embodiments. It will be understood by those of ordinary skill in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the following claims.

Claims
  • 1. A semi-automatic welding work cell for welding an assembly defined by a plurality of welds, the plurality of welds being defined by at least two weld schedules, the semi-automatic welding work cell comprising: welding equipment for use by a welding operator to perform said plurality of welds and complete the assembly during a semi-automatic welding operation, said welding equipment having a plurality of functions; and a welding job sequencer which selects and implements at least one of the plurality of functions to define at least a first weld schedule and a second weld schedule from the at least two weld schedules so as to organize a sequence of operations for creating the welded assembly, said first weld schedule contains at least one first weld set up parameter and at least one first weld instruction for said welding operator and said second weld schedule contains at least one second weld set up parameter and at least one second weld instruction for said welding operator, at least one of said first weld set up parameter and said first weld instruction is different from said second weld set up parameter and said second weld instruction, said welding job sequencer automatically modifying said welding equipment in accordance with said sequence of operations between the first weld schedule and the second weld schedule without said welding operator intervention for completing the welded assembly, with said welding operator performing said semi-automatic welding operation after said welding job sequencer automatically modifies said welding equipment in accordance with said sequence of operations based on said first and second weld schedules.
  • 2. The semi-automatic welding work cell of claim 1, wherein the second weld schedule is defined according to an elapsed time of the first weld schedule.
  • 3. The semi-automatic welding work cell of claim 1, wherein the at least one function detects completion of said first weld schedule by said operator and automatically changes from said first weld schedule to said second weld schedule.
  • 4. The semi-automatic welding work cell of claim 1, wherein the at least one function detects when the operator is conducting said first weld schedule, and said second weld schedule is defined according to an amount of welding wire supplied for said first weld schedule.
  • 5. The semi-automatic welding work cell of claim 1, wherein the at least one function detects when the operator is conducting said first weld schedule, and said second weld schedule is defined according to an amount of energy supplied for said first weld schedule.
  • 6. The semi-automatic welding work cell of claim 1, wherein said at least one first weld set up parameter and said at least one second weld set up parameter comprise at least one of a welding process, wire type, wire size, WFS, volts, trim, wire feeder to use, or feed head to use.
  • 7. The semi-automatic welding work cell of claim 1, wherein the said at least first and second weld schedules include a sequence of said at least one first weld instruction and a sequence of said at least one second weld instruction.
  • 8. The semi-automatic welding work cell of claim 1, wherein the at least one function monitors quality measurables of said weld assembly, wherein the quality measurables comprise at least information about an arc used to form the weld created by the operator.
  • 9. The semi-automatic welding work cell of claim 1, wherein the at least one function indicates information to the operator in the semi-automatic welding work cell.
  • 10. The semi-automatic welding work cell of claim 1, wherein the at least one function accepts job information comprising at least a part ID number, operator ID number, or welding instructions.
  • 11. The semi-automatic welding work cell of claim 1, wherein the at least one function produces a job report comprising at least one of a number of welds preformed, total arc time, individual arc time, sequence interruptions, errors, faults, wire usage, arc data.
  • 12. The semi-automatic welding work cell of claim 1, wherein the at least one function includes a system check of said cell, the system check comprising at least a detection of wire supply, gas supply, and time.
  • 13. The semi-automatic welding work cell of claim 1, wherein the welding job sequencer is configured to implement a quality check function into the sequence of operations, wherein the quality check function performs a quality check of at least one of said plurality of welds.
  • 14. The semi-automatic welding work cell of claim 1, wherein the welding job sequencer is configured to implement a repeat function into the sequence of operations, wherein the repeat function instructs the welding operator to repeat one of said plurality of welds.
  • 15. The semi-automatic welding work cell of claim 1, wherein the welding job sequencer is configured to implement a notify welder function into the sequence of operations, wherein the notify welder communicates information to the welding operator.
  • 16. The semi-automatic welding work cell of claim 1, wherein the welding job sequencer is configured to implement an enter job information function into the sequence of operations, wherein the enter job information function requires the welding operator to enter information before the sequence of operations can continue.
  • 17. The semi-automatic welding work cell of claim 1, wherein the welding job sequencer is configured to implement a job report function into the sequence of operations, wherein the job report function creates a report on the welding operation.
  • 18. The semi-automatic welding work cell of claim 1, wherein the welding job sequencer is configured to implement a system check function into the sequence of operations, wherein the system check function determines whether the welding operation can continue.
  • 19. The semi-automatic welding work cell of claim 1, wherein the welding job sequencer is configured to implement a perform welding operation function into the sequence of operations, wherein the perform welding operation function detects actual welding performed by the welding operator.
  • 20. The semi-automatic welding work cell of claim 7, wherein the welding job sequencer includes an indicator of said sequence to the operator.
  • 21. The semi-automatic welding work cell of claim 6, wherein said at least one first weld set up parameter and said at least one second weld set up parameter comprise a wire feeder for use by an operator in the semi-automatic welding work cell.
  • 22. The semi-automatic welding work cell of claim 13, wherein the quality check function pauses the sequence of operations and alerts the welding operator if an abnormality is detected.
  • 23. The semi-automatic welding work cell of claim 14, wherein the repeat function is implemented in response to a quality check of the weld.
  • 24. The semi-automatic welding work cell of claim 15, wherein the notify welder function instructs the welding operator to check one of said plurality of welds.
  • 25. The semi-automatic welding work cell of claim 16, wherein the entered information identifies a part or the welded assembly.
  • 26. The semi-automatic welding work cell of claim 16, wherein the entered information is used to organize the sequence of operations for creating the welded assembly.
  • 27. The semi-automatic welding work cell of claim 17, wherein the report includes at least one of efficiency and quality information.
  • 28. The semi-automatic welding work cell of claim 18, wherein the system check function determines whether the welding operation can proceed based on at least one of a time and a material level necessary to complete the welding operation.
  • 29. A welding production line comprising: at least one semi-automatic welding work cell for welding an assembly defined by a plurality of welds, the plurality of welds being defined by at least two weld schedules, the semi-automatic welding work cell including welding equipment for use by a welding operator to perform the plurality of welds and complete the assembly during a semi-automatic welding operation, the welding equipment having a plurality of functions; and a welding job sequencer which selects and implements at least one of the plurality of functions to define at least a first and a second weld schedule from the at least two weld schedules to organize a sequence of operations for completing the weld assembly, said first weld schedule contains at least one first weld set up parameter and at least one first weld instruction for said welding operator and said second weld schedule contains at least one second weld set up parameter and at least one second weld instruction for said welding operator, at least one of said first weld set up parameter and said first weld instruction is different from said second weld set up parameter and said second weld instruction, said welding job sequencer automatically modifying said welding equipment in accordance with said sequence of operations between the first weld schedule and the second weld schedule without said welding operator intervention for completing the assembly, with said welding operator performing said semi automatic welding operation after said welding job sequencer automatically modifies said welding equipment in accordance with said sequence of operations based on said first and second weld schedules.
  • 30. The welding production line of claim 29, further comprising a monitoring system in communication with the welding job sequencer to monitor completion of the at least one weld instruction of each of the first and second weld schedule.
  • 31. A semi-automatic welding work cell for use by an operator, comprising: welding equipment having a plurality of functions for performing welds by the operator during a semi-automatic welding operation; and a welding job sequencer selecting from the plurality of functions to set up and organize the welding equipment for the operator without operator intervention according to a sequence of operations, the plurality of functions including: a weld schedule function defining at least one weld operation; a notify function to instruct the operator to perform the weld schedule; and a quality check function to monitor at least one weld operation; wherein said welding job sequencer automatically modifies said welding equipment in accordance with said sequence of operations before the at least one weld operation without said operator intervention, with said operator performing said semi-automatic welding operation after said welding job sequencer automatically modifies said welding equipment in accordance with said sequence of operations based on said plurality of functions.
  • 32. The semi-automatic welding work cell of claim 31, wherein the quality check function performs a quality check on a weld completed by the at least one weld operation.
  • 33. The semi-automatic welding work cell of claim 31, wherein the quality check function monitors the at least one weld operation during the at least one weld operation.
  • 34. The semi-automatic welding work cell of claim 31, wherein the quality check function monitors the at least one weld operation after completion of the at least one weld operation.
  • 35. The semi-automatic welding work cell of claim 31, wherein the weld schedule function defines a plurality of weld schedules, each weld schedule having a first weld operation and at least a second weld operation.
  • 36. The semi-automatic welding work cell of claim 31, wherein the quality check function monitors the at least one weld operation before allowing the sequence of operations to continue.
  • 37. The semi-automatic welding work cell of claim 31, wherein when the quality check function detects an abnormality, the sequencer pauses the sequence of operations and the notify function alerts the operator of the abnormality.
CROSS REFERENCE TO RELATED APPLICATION

This application is a continuation of U.S. patent application Ser. No. 11/613,652, filed Dec. 20, 2006, titled “Welding Job Sequencer,” now allowed, which is incorporated herein by reference in its entirety.

US Referenced Citations (483)
Number Name Date Kind
1159119 Springer Nov 1915 A
D140630 Garibay Sep 1945 S
D142377 Dunn Sep 1945 S
2681969 Burke Jun 1954 A
D152049 Alanson Mar 1955 S
2728838 Barnes Dec 1955 A
D174208 Abildgaard 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
3581051 Brown May 1971 A
3621177 McPherson et al. Nov 1971 A
3654421 Streetman et al. Apr 1972 A
3689734 Burley et al. Sep 1972 A
3739140 Rotilio Jun 1973 A
3847584 Houser Nov 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
D176942 Cross Feb 1977 S
D243459 Bliss Feb 1977 S
4024371 Drake May 1977 A
4041615 Whitehill Aug 1977 A
D247421 Driscoll Mar 1978 S
4104724 Dix et al. Aug 1978 A
4124944 Blair Nov 1978 A
4132014 Schow Jan 1979 A
4145593 Merrick et al. Mar 1979 A
4153913 Swift May 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
4324973 Kirwan et al. Apr 1982 A
4359622 Dostoomian et al. Nov 1982 A
4375026 Keamey Feb 1983 A
4380696 Masaki Apr 1983 A
4390954 Manning Jun 1983 A
4410787 Kremers et al. Oct 1983 A
4419560 Zurek Dec 1983 A
4419562 Jon et al. Dec 1983 A
4429266 Tradt Jan 1984 A
4452589 Denison Jun 1984 A
D275292 Bouman Aug 1984 S
4477713 Cook et al. Oct 1984 A
4484059 Lillquist Nov 1984 A
4497019 Waber Jan 1985 A
D277761 Korovin et al. Feb 1985 S
4527045 Nakajima Jul 1985 A
D280329 Bouman Aug 1985 S
4611111 Baheti et al. Sep 1986 A
4616326 Meier et al. Oct 1986 A
4629860 Lindbom Dec 1986 A
4631700 Lapeyre Dec 1986 A
4677277 Cook et al. Jun 1987 A
4680014 Paton et al. Jul 1987 A
4681999 Hruska 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
4785159 Hruska Nov 1988 A
4867685 Brush et al. Sep 1989 A
4877940 Bangs et al. Oct 1989 A
4881678 Gaudin Nov 1989 A
4897521 Burr Jan 1990 A
4907973 Hon Mar 1990 A
4920248 Toyoda et al. Apr 1990 A
4931018 Herbst et al. Jun 1990 A
4998050 Nishiyama et al. Mar 1991 A
5034593 Rice et al. Jul 1991 A
5061841 Richardson Oct 1991 A
5081338 Dufrenne Jan 1992 A
5089914 Prescott Feb 1992 A
5192845 Kirmsse et al. Mar 1993 A
5206472 Myking et al. Apr 1993 A
5206474 Fukuoka et al. Apr 1993 A
5265787 Ishizaka et al. Nov 1993 A
5266930 Ichikawa et al. Nov 1993 A
5278390 Blankenship Jan 1994 A
5285916 Ross Feb 1994 A
5305183 Teynor Apr 1994 A
5306893 Morris et al. 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
5380978 Pryor Jan 1995 A
D359296 Witherspoon Jun 1995 S
5424634 Goldfarb et al. Jun 1995 A
5436638 Bolas et al. Jul 1995 A
5449877 Buda et al. Sep 1995 A
5450315 Stefanski Sep 1995 A
5464957 Kidwell et al. Nov 1995 A
5467957 Gauger Nov 1995 A
D365583 Viken Dec 1995 S
5474225 Geier et al. Dec 1995 A
5493093 Cecil Feb 1996 A
5533206 Petrie et al. Jul 1996 A
5562843 Yasumoto Oct 1996 A
5651903 Shirk Jul 1997 A
5670071 Ueyama 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
5734421 Maguire, Jr. Mar 1998 A
5751258 Fergason et al. May 1998 A
D395296 Kaye et al. Jun 1998 S
5773779 Morlock Jun 1998 A
D396238 Schmitt Jul 1998 S
5781258 Dabral et al. Jul 1998 A
5823785 Matherne, Jr. Oct 1998 A
5835077 Dao et al. Nov 1998 A
5835277 Hegg Nov 1998 A
5837968 Rohrberg et al. Nov 1998 A
5845053 Watanabe et al. Dec 1998 A
5850066 Dew et al. Dec 1998 A
5859847 Dew et al. Jan 1999 A
5866866 Shimada Feb 1999 A
5877468 Morlock Mar 1999 A
5910894 Pryor Jun 1999 A
5949388 Atsumi et al. Sep 1999 A
5963891 Walker et al. Oct 1999 A
6002104 Hsu Dec 1999 A
6008470 Zhang et al. Dec 1999 A
6023044 Kosaka et al. Feb 2000 A
6049059 Kim Apr 2000 A
6051805 Vaidya et al. Apr 2000 A
6063458 Robertson et al. May 2000 A
6087627 Kramer Jul 2000 A
6114645 Burgess Sep 2000 A
6115273 Geissler Sep 2000 A
RE36926 Austin Oct 2000 E
6133545 Okazaki et al. Oct 2000 A
6151640 Buda et al. Nov 2000 A
6155475 Ekelof et al. Dec 2000 A
6155928 Burdick Dec 2000 A
6167328 Takaoka et al. Dec 2000 A
6230327 Briand et al. May 2001 B1
6236013 Delzenne May 2001 B1
6236017 Smartt May 2001 B1
6242711 Cooper Jun 2001 B1
6271500 Hirayama et al. Aug 2001 B1
6278074 Morlock et al. Aug 2001 B1
6292715 Rongo Sep 2001 B1
6330938 Hervé et al. Dec 2001 B1
6330966 Eissfeller Dec 2001 B1
6331848 Stove et al. Dec 2001 B1
D456428 Aronson, II et al. Apr 2002 S
6373465 Jolly et al. Apr 2002 B2
D456828 Aronson, II et al. May 2002 S
6399912 Steenis et al. Jun 2002 B1
D461383 Blackburn Aug 2002 S
6441342 Hsu Aug 2002 B1
6444942 Kawai et al. Sep 2002 B1
6445964 White et al. Sep 2002 B1
6492618 Flood Dec 2002 B1
6506997 Matsuyama Jan 2003 B2
6548783 Kilovsky et al. Apr 2003 B1
6552303 Blankenship et al. Apr 2003 B1
6560029 Dobbie et al. May 2003 B1
6563489 Latypov et al. May 2003 B1
6568846 Cote et al. May 2003 B1
D475726 Suga et al. Jun 2003 S
6572379 Sears et al. Jun 2003 B1
6583386 Ivkovich Jun 2003 B1
6621049 Suzuki Sep 2003 B2
6624388 Blankenship et al. Sep 2003 B1
6636776 Barton et al. Oct 2003 B1
D482171 Vui et al. Nov 2003 S
6644645 Bakodledis Nov 2003 B2
6647288 Madill et al. Nov 2003 B2
6649858 Wakeman Nov 2003 B2
6655645 Lu et al. Dec 2003 B1
6660965 Simpson Dec 2003 B2
6697701 Hillen et al. Feb 2004 B2
6697770 Nagetgaal Feb 2004 B1
6700097 Hsu et al. Mar 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
6717108 Hsu Apr 2004 B2
D490347 Meyers May 2004 S
6730875 Hsu May 2004 B2
6734393 Friedl et al. May 2004 B1
6734394 Hsu May 2004 B2
6744011 Hu et al. Jun 2004 B1
6747247 Holverson et al. Jun 2004 B2
6750428 Okamoto et al. Jun 2004 B2
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
6822195 Kanodia et al. Nov 2004 B2
6847922 Wampler, II Jan 2005 B1
6847956 Manicke et al. Jan 2005 B2
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
6912447 Klimko et al. Jun 2005 B2
6920371 Hillen et al. Jul 2005 B2
6924459 Spear et al. Aug 2005 B2
6930280 Zauner et al. Aug 2005 B2
6940039 Blankenship et al. Sep 2005 B2
7021937 Simpson et al. Apr 2006 B2
7028882 Kilovsky et al. Apr 2006 B2
7030334 Ruiz et al. Apr 2006 B1
7032814 Blankenship Apr 2006 B2
7072774 Houston Jul 2006 B1
7102098 Rouault 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 et al. Mar 2007 B2
7247814 Ott Jul 2007 B2
D555446 Picaza Ibarrondo Nov 2007 S
7315241 Daily et al. Jan 2008 B1
D561973 Kinsley et al. Feb 2008 S
7353715 Myers Apr 2008 B2
7358458 Daniel Apr 2008 B2
7363137 Brant et al. Apr 2008 B2
7381923 Gordon et al. Jun 2008 B2
7414595 Muffler Aug 2008 B1
7465230 LeMay et al. Dec 2008 B2
7478108 Townsend et al. Jan 2009 B2
D587975 Aronson, II et al. Mar 2009 S
7515972 Kumar et al. Apr 2009 B2
7516022 Lee et al. Apr 2009 B2
7523069 Friedl Apr 2009 B1
7534005 Buckman May 2009 B1
7539603 Subrahmanyam May 2009 B2
7575304 Sugahara Aug 2009 B2
D602057 Osicki Oct 2009 S
7603191 Gross Oct 2009 B2
7617017 Menassa et al. Nov 2009 B2
7621171 O'Brien Nov 2009 B2
D606102 Bender et al. Dec 2009 S
7642486 Fosbinde et al. Jan 2010 B2
7643890 Hillen et al. Jan 2010 B1
7643907 Fuhlbrigge et al. Jan 2010 B2
7687741 Kainec et al. Mar 2010 B2
D614217 Peters et al. Apr 2010 S
D615573 Peters et al. May 2010 S
7772524 Hillen et al. Aug 2010 B2
7809534 Sturrock et al. Oct 2010 B2
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
7962967 Becker et al. Jun 2011 B2
7970172 Hendrickson Jun 2011 B1
7972129 O'Donoghue Jul 2011 B2
7991587 Ihn Aug 2011 B2
8049139 Houston Nov 2011 B2
8069017 Hallquist Nov 2011 B2
8115138 Jacovetty et al. Feb 2012 B2
8224881 Spear Jul 2012 B1
8248324 Nangle Aug 2012 B2
3265886 Bisiaux et al. Sep 2012 A1
3274013 Wallace Sep 2012 A1
8287522 Moses et al. Oct 2012 B2
3312060 Gilbert et al. Nov 2012 A1
8316462 Becker et al. Nov 2012 B2
8322591 Diez et al. Dec 2012 B2
8363048 Gering Jan 2013 B2
8365603 Lesage et al. Feb 2013 B2
3502866 Becker et al. Aug 2013 A1
8512043 Choquet Aug 2013 B2
8569646 Daniel et al. Oct 2013 B2
8569655 Cole Oct 2013 B2
8592723 Davidson et al. Nov 2013 B2
8777629 Kreindl et al. Jul 2014 B2
RE45062 Maguire, Jr. Aug 2014 E
8860760 Chen et al. Oct 2014 B2
8884177 Daniel et al. Nov 2014 B2
9089921 Daniel et al. Jul 2015 B2
9104195 Daniel et al. Aug 2015 B2
9323056 Williams Apr 2016 B2
9937577 Daniel et al. Apr 2018 B2
20010045808 Hietmann et al. Nov 2001 A1
20010052893 Jolly et al. Dec 2001 A1
20020032553 Simpson et al. Mar 2002 A1
20020046999 Veikkolainen et al. Apr 2002 A1
20020050984 Roberts May 2002 A1
20020085843 Mann Jul 2002 A1
20020107825 Manicke et al. Aug 2002 A1
20020117487 Corby, Jr. et al. Aug 2002 A1
20020175897 Pelosi Nov 2002 A1
20030000931 Ueda et al. Jan 2003 A1
20030023592 Modica et al. Jan 2003 A1
20030025884 Hamana et al. Feb 2003 A1
20030106787 Santini Jun 2003 A1
20030111451 Blankenship et al. Jun 2003 A1
20030165180 Weerasinghe et al. Sep 2003 A1
20030172032 Choquet Sep 2003 A1
20030234885 Pilu Dec 2003 A1
20040008157 Brubaker et al. Jan 2004 A1
20040020907 Zauner et al. Feb 2004 A1
20040035990 Ackeret Feb 2004 A1
20040050824 Samler Mar 2004 A1
20040122550 Klimko et al. Jun 2004 A1
20040140301 Blankenship et al. Jul 2004 A1
20040232128 Niedereder et al. Nov 2004 A1
20040245227 Grafton-Reed et al. Dec 2004 A1
20050007504 Fergason Jan 2005 A1
20050017152 Fergason Jan 2005 A1
20050046584 Breed Mar 2005 A1
20050050168 Wen et al. Mar 2005 A1
20050101767 Clapham et al. May 2005 A1
20050103766 Iizuka et al. May 2005 A1
20050103767 Kainec et al. May 2005 A1
20050109735 Flood May 2005 A1
20050127052 Spencer Jun 2005 A1
20050128186 Shahoian et al. Jun 2005 A1
20050133488 Blankenship et al. Jun 2005 A1
20050149210 Britton Jul 2005 A1
20050159840 Lin et al. Jul 2005 A1
20050189336 Ku Sep 2005 A1
20050199602 Kaddani et al. Sep 2005 A1
20050230573 Ligertwood Oct 2005 A1
20050252897 Hsu et al. Nov 2005 A1
20050275913 Vesely et al. Dec 2005 A1
20050275914 Vesely et al. Dec 2005 A1
20060010551 Bishop et al. Jan 2006 A1
20060014130 Weinstein Jan 2006 A1
20060070987 Daniel Apr 2006 A1
20060131291 Kaufman Jun 2006 A1
20060136183 Choquet Jun 2006 A1
20060163227 Hillen et al. Jul 2006 A1
20060163230 Kaufman Jul 2006 A1
20060169682 Kainec et al. Aug 2006 A1
20060173619 Brant et al. Aug 2006 A1
20060178778 Fuhlbrigge 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
20060252543 Van Noland et al. Nov 2006 A1
20060258447 Baszucki et al. Nov 2006 A1
20070034611 Dirus et al. Feb 2007 A1
20070038400 Lee et al. Feb 2007 A1
20070039937 Jang et al. Feb 2007 A1
20070045488 Shin Mar 2007 A1
20070056942 Daniel et al. Mar 2007 A1
20070080153 Albrecht Apr 2007 A1
20070088536 Ishikawa Apr 2007 A1
20070112889 Cook et al. May 2007 A1
20070198105 Britton Aug 2007 A1
20070198117 Wajihuddin Aug 2007 A1
20070211026 Ohta Sep 2007 A1
20070221797 Thompson et al. Sep 2007 A1
20070256503 Wong et al. Nov 2007 A1
20070262065 Daniel et al. Nov 2007 A1
20070277611 Portzgen et al. Dec 2007 A1
20070291035 Vesely et al. Dec 2007 A1
20080031774 Magnant et al. Feb 2008 A1
20080038702 Choquet Feb 2008 A1
20080078811 Hillen et al. Apr 2008 A1
20080078812 Peters et al. Apr 2008 A1
20080117203 Gering 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
20080158502 Becker Jul 2008 A1
20080169277 Achtner et al. Jul 2008 A1
20080203075 Feldhausen et al. Aug 2008 A1
20080233550 Solomon Sep 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
20090057286 Ihara et al. Mar 2009 A1
20090094721 Becker Apr 2009 A1
20090107969 Asai Apr 2009 A1
20090152251 Dantinne et al. Jun 2009 A1
20090173726 Davidson et al. Jul 2009 A1
20090184098 Daniel et al. Jul 2009 A1
20090200281 Hampton Aug 2009 A1
20090200282 Hampton Aug 2009 A1
20090231423 Becker et al. Sep 2009 A1
20090259444 Dolansky et al. Oct 2009 A1
20090277893 Spellman Nov 2009 A1
20090298024 Batzler Dec 2009 A1
20090313549 Casner Dec 2009 A1
20090325699 Delgiannidis Dec 2009 A1
20100012017 Miller Jan 2010 A1
20100012625 Silk Jan 2010 A1
20100012637 Jaeger Jan 2010 A1
20100048273 Wallace et al. Feb 2010 A1
20100062405 Zboray 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
20100169053 Martis et al. Jul 2010 A1
20100176107 Bong Jul 2010 A1
20100201803 Melikian Aug 2010 A1
20100217440 Lindell Aug 2010 A1
20100224610 Wallace Sep 2010 A1
20100262468 Blankenship Oct 2010 A1
20100276396 Cooper et al. Nov 2010 A1
20100299101 Shimada et al. Nov 2010 A1
20100307249 Lesage et al. Dec 2010 A1
20110006047 Penrod et al. Jan 2011 A1
20110009985 Nixon et al. Jan 2011 A1
20110060568 Goldfine et al. Mar 2011 A1
20110083241 Cole Apr 2011 A1
20110091846 Kreindl et al. Apr 2011 A1
20110114615 Daniel et al. May 2011 A1
20110116076 Chanty et al. May 2011 A1
20110117527 Conrardy et al. May 2011 A1
20110120978 Takahashi et al. May 2011 A1
20110122495 Togashi May 2011 A1
20110172796 Sohmshetty et al. Jul 2011 A1
20110183304 Wallace et al. Jul 2011 A1
20110198329 Davidson et al. Aug 2011 A1
20110246395 Dolson et al. Oct 2011 A1
20110248864 Becker et al. Oct 2011 A1
20110255259 Weber et al. Oct 2011 A1
20110290765 Albrecht et al. Dec 2011 A1
20110316516 Schiefermüller et al. Dec 2011 A1
20120081564 Kamiya Apr 2012 A1
20120095941 Dolson et al. Apr 2012 A1
20120122062 Yang May 2012 A1
20120145689 Hillen et al. Jun 2012 A1
20120189993 Kindig et al. Jul 2012 A1
20120291172 Wills et al. Nov 2012 A1
20120298640 Conrardy et al. Nov 2012 A1
20120325792 Stein et al. Dec 2012 A1
20130008003 Izutani et al. Jan 2013 A1
20130015169 Marschke et al. Jan 2013 A1
20130026150 Chanty et al. Jan 2013 A1
20130040270 Albrecht Feb 2013 A1
20130075380 Albrech et al. Mar 2013 A1
20130119037 Daniel May 2013 A1
20130189657 Wallace et al. Jul 2013 A1
20130189658 Peters et al. Jul 2013 A1
20130206741 Pfeifer et al. Aug 2013 A1
20130230832 Peters et al. Sep 2013 A1
20130242110 Terre et al. Sep 2013 A1
20130264319 Temby Oct 2013 A1
20130277344 Guymon Oct 2013 A1
20130282182 Hideg Oct 2013 A1
20130291271 Becker et al. Nov 2013 A1
20140021184 Daniel Jan 2014 A1
20140027422 Panelli Jan 2014 A1
20140038143 Daniel et al. Feb 2014 A1
20140042135 Daniel et al. Feb 2014 A1
20140042136 Daniel et al. Feb 2014 A1
20140042137 Daniel et al. Feb 2014 A1
20140134579 Becker May 2014 A1
20140134580 Becker May 2014 A1
20140263224 Becker Sep 2014 A1
20140263225 Daniel et al. Sep 2014 A1
20140263226 Daniel et al. Sep 2014 A1
20140272836 Becker Sep 2014 A1
20140272837 Becker Sep 2014 A1
20140272838 Becker Sep 2014 A1
20140346158 Matthews Nov 2014 A1
20150056584 Boulware et al. Feb 2015 A1
20150056585 Boulware et al. Feb 2015 A1
20150056586 Penrod et al. Feb 2015 A1
20150234189 Lyons Aug 2015 A1
20150268473 Yjima et al. Sep 2015 A1
20160165220 Fujimaki et al. Jun 2016 A1
20160188277 Miyasaka et al. Jun 2016 A1
20160260261 Hsu Sep 2016 A1
20160331592 Stewart Nov 2016 A1
20160361774 Daniel et al. Dec 2016 A9
20170045337 Kim Feb 2017 A1
Foreign Referenced Citations (121)
Number Date Country
2698078 Sep 2011 CA
688034 Apr 1997 CH
1370654 Sep 2002 CN
1469791 Jan 2004 CN
101209512 Jul 2008 CN
101214178 Jul 2008 CN
201083660 Jul 2008 CN
201229711 Apr 2009 CN
101571887 Nov 2009 CN
101600532 Dec 2009 CN
101419755 Aug 2010 CN
101587659 Feb 2011 CN
20219978 Apr 2012 CN
102573720 Jul 2012 CN
102596476 Jul 2012 CN
103871279 Jun 2014 CN
105209994 Dec 2015 CN
105229545 Jan 2016 CN
106270941 Jan 2017 CN
2833638 Feb 1980 DE
3046634 Jan 1983 DE
3244307 May 1984 DE
3522581 Jan 1987 DE
1037879 Jun 1991 DE
19615069 Oct 1997 DE
19739720 Oct 1998 DE
19834205 Feb 2000 DE
20009543 Aug 2001 DE
102005047204 Apr 2007 DE
102010023663 Dec 2011 DE
102010038902 Feb 2012 DE
202012013151 Feb 2015 DE
0127299 Dec 1984 EP
0145891 Jun 1985 EP
108599 Dec 1988 EP
319623 Jun 1989 EP
0852986 Jul 1998 EP
1078707 Feb 2001 EP
1170649 Jan 2002 EP
1700667 Sep 2006 EP
1702707 Sep 2006 EP
1724676 Nov 2006 EP
1750185 Feb 2007 EP
1527852 Mar 2008 EP
1905533 Apr 2008 EP
1905533 Nov 2013 EP
2274736 Mar 2008 ES
1456780 Jul 1966 FR
2827066 Apr 2005 FR
2926660 Jun 2011 FR
1455972 Nov 1976 GB
1511608 May 1978 GB
2254172 Dec 1992 GB
2435838 Sep 2007 GB
2454232 Apr 2012 GB
02224877 Sep 1990 JP
03005083 Jan 1991 JP
05329645 Dec 1993 JP
07047471 Feb 1995 JP
07232270 Sep 1995 JP
08132274 May 1996 JP
08150476 Jun 1996 JP
08505091 Jun 1996 JP
2000167666 Jun 2000 JP
2001071140 Mar 2001 JP
2001290518 Oct 2001 JP
2002278670 Sep 2002 JP
2003200372 Jul 2003 JP
2003326362 Nov 2003 JP
2006006604 Jan 2006 JP
2006281270 Oct 2006 JP
2007290025 Nov 2007 JP
2009500178 Jan 2009 JP
2009160636 Jul 2009 JP
2010075954 Apr 2010 JP
2011070539 Apr 2011 JP
2012024867 Feb 2012 JP
20090010693 Jan 2009 KR
2008108601 Sep 2009 RU
1038963 Aug 1983 SU
9845078 Oct 1998 WO
01012376 Feb 2001 WO
0143910 Jun 2001 WO
01058400 Aug 2001 WO
2002086656 Oct 2002 WO
2005084867 Sep 2005 WO
2005102230 Nov 2005 WO
2006034571 Apr 2006 WO
2007009131 Jan 2007 WO
2007039278 Apr 2007 WO
2008031052 Mar 2008 WO
2008031052 Mar 2008 WO
2008079165 Jul 2008 WO
2009060231 May 2009 WO
2009120921 Oct 2009 WO
2009149740 Dec 2009 WO
2010000003 Jan 2010 WO
2010044982 Apr 2010 WO
2010091493 Aug 2010 WO
2010142858 Dec 2010 WO
2011045657 Apr 2011 WO
2011058433 May 2011 WO
2011067447 Jun 2011 WO
2011100214 Aug 2011 WO
2012004491 Jan 2012 WO
2011097035 Feb 2012 WO
2012082105 Jun 2012 WO
2012143327 Oct 2012 WO
2013014202 Jan 2013 WO
2013114189 Aug 2013 WO
2013160745 Oct 2013 WO
2013175079 Nov 2013 WO
2014007830 Jan 2014 WO
2014019045 Feb 2014 WO
2014020386 Feb 2014 WO
2014140738 Sep 2014 WO
2014140743 Sep 2014 WO
2014140746 Sep 2014 WO
2014140747 Sep 2014 WO
2014140749 Sep 2014 WO
2014140766 Sep 2014 WO
Non-Patent Literature Citations (218)
Entry
Australian Patent Application No. 2007338858, Office Action, 2 pages, dated Aug. 13, 2010.
Canadian Patent Application No. 2,672,717, Office Action, 3 pages, dated Mar. 21, 2013.
Canadian Patent Application No. 2,672,717, Office Action, 5 pages, dated Sep. 2, 2010.
Chinese Patent Application No. 200780046777.X, Office Action, 4 pages, dated Jul. 3, 2012.
Chinese Patent Application No. 200780046777.X, Office Action, 4 pages, dated Jul. 30, 2013.
Chinese Patent Application No. 200780046777.X, Office Action, 5 pages, dated Feb. 1, 2013.
Chinese Patent Application No. 200780046777.X, Office Action, 5 pages, dated Jan. 15, 2014.
Chinese Patent Application No. 200780046777.X, Office Action, 8 pages, dated Aug. 14, 2014.
Chinese Patent Application No. 200780046777.X, Office Action, 8 pages, dated Jul. 20, 2011.
International Application No. PCT/US2007/15014, International Search Report & Written Opinion, 5 pages, dated Mar. 11, 2008.
The Lincoln Electric Company, Product Brochure for “NA-3 and NA-4 Automatic Welding Systems With Solid State Control,” Publication No. E9.10, 8 pages, May 1994.
The Lincoln Electric Company, Product Brochure for “NA-5 Automatic Welding System,” Publication No. E9.30, 8 pages, Nov. 1999.
The Lincoln Electric Company, Product Brochure for “Power Feed 10M,” Publication No. E8.266, 4 pages, Aug. 2004.
The Lincoln Electric Company, Product Brochure for Power Wave 455M & 455M/Stt, Publication No. E5/161, 8 pages, Aug. 2004.
The Lincoln Electric Company, Product Brochure for “Waveform Control Technology,” Publication No. NX-1.10, 8 pages, Nov. 2003.
U.S. Patent and Trademark Office, Interim Guide For Determining Subject Matter Eligibility For Process Claims In View Of Bilski v. Kappos, Federal Register, vol. 75, No. 143, 7 pages, Jul. 27, 2010.
U.S. Appl. No. 11/227,349, filed Mar. 2, 2011.
International Search Report and Written Opinion for PCT/IB2014/000313, Applicant: Lincoln Global, Inc., dated Sep. 24, 2015, 12 pages.
International Search Report and Written Opinion for PCT/IB2014/000319, Applicant: Lincoln Global, Inc., dated Sep. 24, 2015, 12 pages.
International Search Report and Written Opinion for PCT/IB2014/000323, Applicant: Lincoln Global, Inc., dated Sep. 24, 2015, 12 pages.
International Search Report and Written Opinion for PCT/IB2014/000324, Applicant: Lincoln Global, Inc., dated Sep. 24, 2015, 12 pages.
International Search Report and Written Opinion for PCT/IB2014/000326, Applicant: Lincoln Global, Inc., dated Sep. 24, 2015, 12 pages.
International Search Report and Written Opinion for PCT/IB2014/000350, Applicant: Lincoln Global, Inc., dated Sep. 24, 2015, 12 pages.
International Search Report for PCT/2007/015014, dated Sep. 22, 2015, 6 pages.
Florian Echtler et al., “The Intelligent Welding Gun: Augmented Reality for Experimental Vehicle Construction,” Virtual and Augmented Reality Applications in Manufacturing, Jan. 1, 2003, XP055052781, retrieved from the Internet: URL: http://www.springer.com, pp. 3-12.
Rubinovitz et al., “Task Level Off-Line Programming System for Robotic Arc Welding—An Overview”, Journal of Manufacturing Systems, vol. 7, No. 4, Jan. 1, 1988, pp. 293-305.
International Search Report and Written Opinion for PCT/IB2014/000350, Applicant: Lincoln Global, Inc., dated Sep. 4, 2014, 13 pages.
Office Action from Chinese Patent Application No. 201480026618.3 dated Mar. 17, 2017.
Office Action from Chinese Patent Application No. 201480027935 dated Mar. 23, 2017.
Office Action from Chinese Application No. 201480027966.2 dated Mar. 1, 2017.
Office Action from Chinese Application No. 201480027966.2 dated Aug. 28, 2017.
Office Action from Chinese Application No. 201480026559.X dated Apr. 27, 2017.
Office Action from Chinese Application No. 201610806381.1 dated Aug. 1, 2017.
U.S. Appl. No. 11/227,349, filed Sep. 15, 2005.
International Preliminary Report on Patenability from PCT/US07/15014 dated Jun. 23, 2009.
International Preliminary Report on Patenability from PCT/US15/001991 dated May 26, 2017.
Power Feed 10M, Publication E8.266, Aug. 2004 brochure.
Office Action from U.S. Appl. No. 11/613,652 dated Aug. 21, 2008.
Amendment from U.S. Appl. No. 11/613,652 dated Nov. 20, 2008.
Office Action from U.S. Appl. No. 11/613,652 dated Jun. 9, 2009.
Amendment from from U.S. Appl. No. 11/613,652 dated Sep. 9, 2009.
Office Action from U.S. Appl. No. 11/613,652 dated Jan. 25, 2010.
Amendment from U.S. Appl. No. 11/613,652 dated Jun. 11, 2010.
Office Action from U.S. Appl. No. 11/613,652 dated Aug. 17, 2011.
Amendment from U.S. Appl. No. 11/613,652 dated Dec. 19, 2011.
Office Action from U.S. Appl. No. 11/613,652 dated Feb. 20, 2014.
Amendment from U.S. Appl. No. 11/613,652 dated May 19, 2014.
Advisory Action from U.S. Appl. No. 11/613,652 dated Jun. 6, 2014.
Notice of Appeal from U.S. Appl. No. 11/613,652 dated Aug. 19, 2014.
Applicant Summary of Interview With Examiner from U.S. Appl. No. 11/613,652 dated Aug. 19, 2014.
Applicant Summary of Interview With Examiner from U.S. Appl. No. 11/613,652 dated Oct. 2, 2014.
Applicant Initiated Interview Summary from U.S. Appl. No. 11/613,652 dated Oct. 9, 2014.
Amendment from U.S. Appl. No. 11/613,652 dated Oct. 27, 2014.
Notice of Allowance from U.S. Appl. No. 11/613,652 dated Nov. 20, 2014.
Restriction Requirement from U.S. Appl. No. 13/802,918 dated Jan. 14, 2016.
Restriction Requirement from U.S. Appl. No. 13/802,883 dated Jan. 14, 2016.
Office Action from U.S. Appl. No. 13/802,951 dated Nov. 2, 2015.
Amendment from U.S. Appl. No. 13/802,951 dated Mar. 2, 2016.
Restriction Requirement from U.S. Appl. No. 13/802,985 dated Jan. 15, 2016.
Response to Restriction Requirement from U.S. Appl. No. 13/802,985 dated Mar. 11, 2016.
Notice of Non-Compliant Amendment from U.S. Appl. No. 13/802,985 dated Apr. 13, 2016.
Amendment from U.S. Appl. No. 13/802,985 dated Jun. 2, 2016.
Office Action from U.S. Appl. No. 13/802,985 dated Jul. 26, 2016.
Applicant Initiated Interview Summary from U.S. Appl. No. 13/802,985 dated Oct. 17, 2016.
Amendment from U.S. Appl. No. 13/802,985 dated Oct. 26, 2016.
Office Action from U.S. Appl. No. 13/802,985 dated Feb. 8, 2017.
Response to Office Action from U.S. Appl. No. 13/802,985 dated Jun. 8, 2017.
Advisory Action from U.S. Appl. No. 13/802,985 dated Jun. 29, 2017.
Amendment from U.S. Appl. No. 13/802,985 dated Jul. 6, 2017.
Office Action from U.S. Appl. No. 13/803,032 dated Jan. 5, 2016.
Amendment from U.S. Appl. No. 13/803,032 dated May 4, 2016.
Office Action from U.S. Appl. No. 13/803,032 dated Aug. 11, 2016.
Applicant Initiated Interview Summary from U.S. Appl. No. 13/803,032 dated Nov. 2, 2016.
Amendment from U.S. Appl. No. 13/803,032 dated Dec. 7, 2016.
Non-Final Office Action from U.S. Appl. No. 13/803,032 dated Feb. 24, 2017.
Amendment from U.S. Appl. No. 13/803,032 dated Jun. 20, 2017.
Final Office Action from U.S. Appl. No. 13/803,032 dated Oct. 5, 2017.
Restriction Requirement from U.S. Appl. No. 13/803,077 dated Jan. 14, 2016.
Response to Restriction Requirement from U.S. Appl. No. 13/802,918 dated Mar. 11, 2016.
Office Action from U.S. Appl. No. 13/802,918 dated Dec. 16, 2016.
Response to Office Action from U.S. Appl. No. 13/802,918 dated May 9, 2017.
Final Office Action from U.S. Appl. No. 13/802,918 dated Sep. 8, 2017.
Office Action from U.S. Appl. No. 13/803,077 dated Apr. 21, 2016.
Response to Office Action from U.S. Appl. No. 13/803,077 dated Jul. 14, 2016.
Final Office Action from U.S. Appl. No. 13/803,077 dated Sep. 29, 2016.
Amendment from U.S. Appl. No. 13/803,077 dated Dec. 29, 2016.
Advisory Action from U.S. Appl. No. 13/803,077 dated Jan. 27, 2017.
Amendment from U.S. Appl. No. 13/803,077 dated Jan. 30, 2017.
Final Office Action from U.S. Appl. No. 13/803,077 dated Feb. 23, 2017.
Amendment After Final Office Action from U.S. Appl. No. 13/803,077 dated May 22, 2017.
Advisory Action from U.S. Appl. No. 13/803,077 dated Jun. 15, 2017.
Amendment from U.S. Appl. No. 13/803,077 dated Jun. 20, 2017.
Office Action from U.S. Appl. No. 13/803,077 dated Aug. 7, 2017.
Response to Restriction Requirement from U.S. Appl. No. 13/802,883 dated Mar. 11, 2016.
Office Action from U.S. Appl. No. 13/802,883 dated Jul. 28, 2016.
Applicant Initiated Interview Summary from U.S. Appl. No. 13/802,883 dated Oct. 17, 2016.
Amendment from U.S. Appl. No. 13/802,883 dated Oct. 26, 2016.
Final Office Action from U.S. Appl. No. 13/802,883 dated Feb. 8, 2017.
Response to Final Office Action from U.S. Appl. No. 13/802,883 dated Jun. 8, 2017.
Non-Final Office Action from U.S. Appl. No. 13/802,883 dated Aug. 24, 2017.
Second Office Action from Chinese Application No. 201480027580.1 dated Jan. 3, 2018 (English Translation).
Notice of Allowance from U.S. Appl. No. 13/802,951 dated Dec. 7, 2017.
Office Action from U.S. Appl. No. 13/802,985 dated Nov. 3, 2017.
Amendment from U.S. Appl. No. 13/803,077 dated Dec. 6, 2017.
Response to Office Action from U.S. Appl. No. 13/802,883 dated Jan. 24, 2018.
Amendment from U.S. Appl. No. 13/803,032 dated Mar. 5, 2018.
Applicant Initiated Interview Summary from U.S. Appl. No. 13/803,077 dated Dec. 15, 2017.
Amendment from U.S. Appl. No. 13/802,918 dated Mar. 8, 2018.
Advisory Action from U.S. Appl. No. 13/802,918 dated Mar. 13, 2018.
Office Action from Chinese Application No. 201480049376.X dated Jan. 2, 2018.
Advisory Action from U.S. Appl. No. 13/803,032 dated Apr. 10, 2018.
Amendment from U.S. Appl. No. 13/802,985 dated May 2, 2018.
Applicant Initiated Interview Summary from U.S. Appl. No. 13/802,985 dated May 3, 2018.
Amendment Filed with RCE from U.S. Appl. No. 13/803,032 dated Apr. 4, 2018.
Office Action from Chinese Patent Application No. 201480026618.3 dated Jun. 27, 2018.
Office Action from U.S. Appl. No. 13/802,883 dated Jun. 29, 2018.
Office Action from U.S. Appl. No. 13/803,077 dated May 15, 2018.
Office Action from Chinese Patent Application No. 201480027935.7 dated May 11, 2018.
Amendment from U.S. Appl. No. 13/802,985 dated Dec. 19, 2018.
Applicant Initiated Interview Summary from U.S. Appl. No. 13/802,985 dated Dec. 31, 2018.
Amendment from U.S. Appl. No. 13/803,032 dated Jan. 30, 2019.
Amendment from U.S. Appl. No. 13/802,918 dated Dec. 7, 2018.
Preliminary Amendment from U.S. Appl. No. 16/131,827 dated Dec. 4, 2018.
Office Action from U.S. Appl. No. 13/802,985 dated Apr. 1, 2019.
Applicant Interview Summary from U.S. Appl. No. 13/803,032 dated Feb. 28, 2019.
Office Action from U.S. Appl. No. 13/802,918 dated Mar. 20, 2019.
What is Implementation—definition from whatis.com downloaded Feb. 22, 2019 (5 pages).
Microcontroller—https:/en.wikipedia/microcontroller—downloaded Feb. 22, 2019 (11 pages).
Office Action from U.S. Appl. No. 13/802,883 dated Feb. 8, 2019.
Fourth Office Action from Chinese Application No. 201480027580.1 dated Apr. 15, 2019.
Receive—definition from Dictionary.com downloaded Oct. 21, 2018.
Hoff et al.; “Computer vision-based registration techniques for augmented reality”; Proceedings of Intelligent Robots and Computer Vision XV; SPIE vol. 2904; Dated Nov. 18-22, 1996; pp. 538-548.
Mann, et al.; “Realtime HOR (High Dynamic Range) Video for Eyetap Wearable Computers, FPGA-Based Seeing Aids, and Glasseyes (Eyetaps);” Univ. of Toledo, IEEE Canadian Conf. on Electrical and Computer Eng., 2012; pp. 1-6.
Hillers, et al.; “Augmented Reality—The third way for new technologies in welding education;” GSI SLV Duisburg, Tech. Conf. “Welding Trainer 2010” 08-09; Dated Sep. 2010; pp. 1-4.
Farber; “The next big thing in tech: Augmented reality;” Sci-Tech CNET; Dated Jun. 7, 2013; pp. 1-11.
Stone, et al.; “Full Virtual Reality vs. Integrated Virtual Reality Training in Welding,” Supplement to the Welding Journal; Dated Jun. 2013; vol. 92; pp. 167-174-s.
Aiteanu, et al.; “A step forward in manual welding: demonstration of augmented reality helmet” IEEE Xplore Abstract; Accessed Jan. 15, 2016; pp. 1-2.
Tschirner, et al.; “A Concept for the Application of Augmented Reality in Manual Gas Metal Arc Welding;” Proceeding of the international Symposium on Mixed and Augmented Reality (SIMAR'02), IEEE Computer Society,; Dated 2002; pp. 1-2.
Morpha Style Guide compiled by: Kuka Roboter GmbH and Reis GmbH & Co Maschinenfabrik; BMBF Lead Project Anthropomorphe Assisenzsysteme (Morpha); Style Guide for Icon-based Programming; Accessed Mar. 2015; pp. 1-56.
XP-002422858; “Getting Started with LabVIEW Virtual Instruments;” National Instruments Corporation; Accessed Mar., 2015; pp. 1-70.
VJ Technologies; “Vi3 Imaging Software;” Dated May 2011; pp. 1-2.
Edison Welding Institute; “E-Weld Predictor;” Dated 2008; pp. 1-3.
Eduwelding+; “Weld Into the Future;” Online Welding Seminar—A virtual training environment; www.123arc.com; Dated 2005; pp. 1-4.
Eduwelding+; “Training Activities with ARC+ Simulator; Weld Into the Future;” Online Welding Simulator—A virtual training environment; www.123arc.com; Dated May 2008; pp. 1-6.
Joanneum; “Fronius—virtual welding;” Dated May 12, 2008; pp. 1-2.
Heston; “Virtually welding;” thefabricator.com; Dated Mar. 11, 2008; pp. 1-4.
Fast, et al.; “Virtual Training for Welding;” Mixed and Augmented Reality, 2004, ISMAR 2004, Third IEEE and CM International Symposium; Dated Nov. 2-5, 2004; pp. 1-2.
Garcia-Ellende, et al.; “Defect Detection in Arc-Welding Processes by Means of the Line-to-Continuum Method and Feature Selection;” www.mdpi.com/journal/sensors; Sensors 2009, 9, 7753-7770; doi; 10.3390/s91007753; Published Sep. 29, 2009; pp. 7754-7770.
Hillis, et al.; “Data Parallel Algorithms;” Communications of the ACM; vol. 29, No. 12; Dated Dec. 1986; pp. 1170-1183.
Mahrle, et al.; “The influence of fluid flow phenomena on the laser beam welding process;” International Journal of Heat and Fluid Flow 23; Dated 2002; pp. 288-297.
The Lincoln Electric Company; “CheckPoint Production Monitoring brochure;” http://www.lincolnelectric.com/assets/en_US/products/literature/s232_pdf; Publication S2.32; Dated Feb., 2012; pp. 1-4.
The Lincoln Electric Company; “Production Monitoring 2;” Dated May 2009; pp. 1-4.
Lindholm, et al.; “NVIDIA Testla: A Unifired Graphics and Computing Architecture;” IEEE Computer Society; Dated 2008; pp. 39-55.
Mavrikios, et al.; “A prototype virtual reality-based demonstrator for immersive and interactive simulation of melding processes;” International Journal of Computer Integrated Manufacturing; vol. 19, No. 3; Dated Apr. 1, 2006; pp. 294-300.
Chironis, et al.; “Mechanisms and Mechanical Devices SourceBook;” McGraw Hill; 2nd Addition; Dated 1996; pp. 1-10.
Miller Electric MFG.00.; “MIG Welding System features weld monitoring software;” NewsRoom 2010 (Dialog File 992); copyright 2011 Dialog 2010; http://www.dialogweb.com/cgi/dwclient?reg=1331233430487; Dated Mar. 8, 2012; pp. 1-3.
NSRP ASE; “Low-Cost Virtual Reality Welder Training System;” Dated 2008; p. 1.
N. A. Tech.; “P/NA.3 Process Modeling and Optimization;” Dated Jun. 4, 2008; pp. 1-11.
Porter, et al.; “Virtual Reality Welder Training;” Paper No. 2005-P19; Dated 2005; pp. 1-16.
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; Dated May 27, 1983; pp. 1-64.
Lim, et al.; “Automatic classification of weld defects using simulated data and an MLP neutral network;” Insight, vol. 49, No. 3; Dated Mar. 2007; pp. 154-159.
Russell, et al.; “Artificial Intelligence: A Modem Approach;” Prentice-Hall; Copyright 1995; pp. 1-20.
O'Brien; “Google's Project Glass gets some more details;” http://www.engadget.com/2012/06/27/googles-project-glass-gets-some-more-details/, Dated Jun. 27, 2012; pp. 1-4.
Dotson; “Augmented Reality Welding Helmet Prototypes How Awesome the Technology Can Get;” http://siliconangle.com/blog/2012/09/26/augmented-reality-welding-helmet-prototypes-how-awesome-the-technology-can-get/, Dated Sep. 26, 2012; pp. 1-3.
Yao, et al.; “Development of a Robot System for Pipe Welding;” 2010 International Conference on Measuring Technology and Mechatronics Automation; http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=5460347&tag=1; Dated 2010; pp. 1109-1112.
Hirche, et al.; “Hardware Accelerated Per-Pixel Displacement Mapping;” Proceedings of Graphics Interface; Dated May 17, 2004; pp. 1-8.
Balijepalli, et al.; “A Haptic Based Virtual Grinding Tool;” Proceedings of the 11th Symposium on Haptic Interfaces for Virtual Environment and Teleoperator Systems; Dated Jul. 2003; pp. 1-7.
Veiga; “Simulation of a Work Cell in the IGRIP Program;” Master's Thesis; Master of Science Programme, Mechanical Engineering; Luleâ University of Technology; Dated Apr. 2006; pp. 1-50.
Jonsson, et al.; “Simulation of Tack Welding Procedures in Butt Joint Welding of Plates;” Welding Research Supplement; Dated Oct. 1985; pp. 296-s-302-s.
Reeves; “Particles Systems—A Technique for Modeling a Class of Fuzzy Objects;” Computer Graphics; vol. 17, No. 3; Dated Jul. 1983; pp. 359-376.
Graham; “Texture Mapping;” Carnegie Mellon University; Class 15-462 Computer Graphics; Lecture 10; Dated Feb. 13, 2003; pp. 1-53.
Hu, et al.; “Heat and mass transfer in gas metal arc welding. Part 1: The arc;” http://www.web.mst.eduHsai/publications/HU-IJHMT-2007-1-60.pdf; International Journal of Heat and Mass Transfer; vol. 50 (2007); Dated Oct. 24, 2006; pp. 833-846.
Miller Electric MFG. Co.; “LiveArc Welding Performance Management System;” Product Brochure; Dated Dec. 2014; pp. 1-4.
Miller Electric MFG. Co.; “LiveArc: Welding Performance Management System;” Owner's Manual; Dated Jul. 2014; pp. 1-64.
The Lincoln Electric Company, “VRTEX Virtual Reality Arc Welding Trainer,” http://www.lincolnelectric.com/en-us/equipment/training-equipment/Pages/vrtex.aspx; Accessed Jul. 10, 2015; pp. 1-3.
Wuhan ONEW Technology Co. Ltd.; “ONEW-360 Welding Training Simulator;” http://en.onew1ech.com/_d276479751.htm; Accessed Jul. 10, 2015; pp. 1-12.
Lincoln Global, Inc.; “VRTEX 360: Virtual Reality Arc Welding Trainer;” Product Brochure; Dated 2015; pp. 1-4.
United States Provisional Patent Application for “System for Characterizing Manual Welding Operations on Pipe and ODther Curved Structures;” U.S. Appl. No. 62/055,724, filed Sep. 26, 2014; p. 1-35.
Praxaire Technology, Inc.; “The RealWeld Trainer System: Real Weld Training Under Real Conditions;” Product Brochure; Dated 2013; pp. 1-2.
Antonelli, et al.; “A Semi-Automated Welding Station Exploiting Human-Robot Interaction;” Advanced Manufacturing Systems and Technology; Dated Jun. 2011; pp. 249-260.
chemweb.com; “Journal of Materials Engineering and Performance (v.7, #5);” Printed Sep. 26, 2012; pp. 1-3.
VRSim; “SimWelder;” http://www.simwelder.com; Retrieved on Apr. 12, 2010; pp. 1-2.
SIMFOR/CESOL; ““RV-Sold” Welding Simulator;” Accessed on Apr. 26, 2013; pp. 1-20.
Wade; “Human uses of ultrasound: ancient and modern;” Ultrasonics, vol. 38; Dated 2000; pp. 1-5.
Wang, et al.; “Numerical Analysis of Metal Transfer in Gas Metal Arc Welding under Modified Pulsed Current Conditions;” Metallurgical and Material Transactions B; vol. 35B; Dated Oct. 2004; pp. 857-865.
Wang et al.; “Study on Welder Training by Means of Haptic Guidance and Virtual Reality for Arc Welding;” Proceedings of the 2006 IEEE International Conference on Robotics and Biomimetics; Dated Dec. 17, 2006; pp. 954-958.
White, et al.; “Virtual Welder Trainer;” IEEE Virtual Reality Conference; Dated 2009; pp. 303, 2009.
International Search Report and Written Opinion from PCT/IB09/000605 dated Feb. 12, 2010.
Desroches; “Code-Aster: Note of use for calculations of welding;” Instruction Manual U2.03 Booklet: Thermomechanical; Document: U2.03.05; Dated Oct. 1, 2003; pp. 1-13.
ASME; “ASME Definitions, Consumables, Welding Positions;” http://www.gowelding.com/wp/asme4.htm; Dated Mar. 19, 2001; pp. 1-3.
Abbas, et al.; “Code_Aster: Introduction to Code_Aster;” User Manual; Booket U1 .0-: Introduction to Code_Aster; Document: U1 .02.00; Version 7.4; Dated Jul. 22, 2005; pp. 1-14.
Agren; “Sensor Integration for Robotic Arc Welding;” Lunds Universitet, vol. 5604C of Dissertations Abstracts International; Dated 1995; Printed Mar. 8, 2012; p. 1123.
Abid, et al.; “Numerical simulation to study the effect of tack welds and root gap on welding deformations and residual stresses of a pipe-flange joint” International Journal of Pressure Vessels and Piping 82 (2005); Dated Aug. 25, 2005; pp. 860-871.
Aidun, et al.; “Penetration in Spot GTA Welds during Centrifugation;” Journal of Materials Engineering and Performance; vol. 7(5); Dated Oct. 1998; pp. 597-600.
ARS Electronica; “Fronius: High-speed video technology is applied to research on welding equipment, and the results are visualized in the Cave;” Dated May 18, 1997; pp. 1-2.
Asciencetutor.Com; “VWL (Virtual Welding Lab);” Dated 2007; pp. 1-2.
Borzecki, et al.; “Specialist Committee V.3: Fabrication Technology;” 16th International Ship and Offshore Structures Congress; vol. 2; Dated Aug. 20, 2006; pp. 115-163.
CS Wave; “The Virtual Welding Trainer;” Dated 2007; pp. 1-6.
Da Dalto, et al.; “CS Wave: A Virtual learning tool for welding motion;” Dated Mar. 14, 2008; pp. 1-10.
Choquet; “ARC+: Today's Virtual Reality Solution for Welders;” 123 Certification Inc.; Dated Jan. 1, 2008; pp. 1-6.
EWI; “Virtual Reality Welder Training;” Cooperative Research Program; Summary Report SR 0512; Dated Jul. 19, 2005; pp. 1-4.
International Search Report and Written Opinion from PCT/IB10/02913 dated Apr. 19, 2011.
Guu, et al.; “Technique for Simultaneous Real-Time Measurements of Weld Pool Surface Geometry and Arc Force;” Welding Research Supplement; Dated Dec. 1992; pp. 473-s-482-s.
Chen, et al.; “Self-Learning Fuzzy Neural Networks and Computer Vision for Control of Pulsed GTAW;” Welding Research Supplement; Dated May 1997; pp. 201-s-209-s.
Rodjito; “Position tracking and motion prediction using Fuzzy Logic;” Colby College; Honors Thesis: Department of computer Science; Paper 520; Dated 2006; pp. 1-81.
D'Huart, et al.; “Virtual Environment for Training;” 6th International Conference, ITS 20002; Dated Jun. 2002; pp. 1-6.
Nasios; “Improving Chemical Plant Safety Training Using Virtual Reality;” University of Nottingham, School of Chemical, Environmental, and Mining Engineering; Dated Dec. 2001; pp. 1-313.
Porter, et al.; “Virtual Reality Welder Training;” Session 5: Joining Technologies for Naval Applications; Dated Jul. 14, 2006; pp. 1-29.
Mantinband, et al.; “Autosteroscopic, field-sequential display with full freedom of movement or Let the display were the shutter-glasses!;” Proceedings of SPIE, vol. 4660; Dated 2002; pp. 246-253.
Vizitech USA; “Changing the Way America Learns;” http://vizitechusa.com/; Retrieved on Mar. 27, 2014; pp. 1-2.
Cayo, et al.; “A Non-Intrusive GMA Welding Process Quality Monitoring System Using Acoustic Sensing;” Sensors, vol. 9; Dated Sep. 9, 2009; pp. 7150-7166.
Wu; “Microcomputer-based welder training simulator;” Computers in Industry 20; Dated 1992; pp. 321-325.
Teeravarunyou, et al.; “Computer Based Welding Training System;” International Journal of Industrial Engineering, 16(2); Dated Jan. 19, 2009; pp. 116-125.
Office Action from U.S. Appl. No. 13/803,032 dated May 30, 2019.
Appeal Brief from U.S. Appl. No. 13/802,883 dated Jul. 8, 2019.
Amendment from U.S. Appl. No. 13/802,918 dated Jun. 19, 2019.
Notice of Appeal from U.S. Appl. No. 13/802,918 dated Jun. 20, 2019.
Appeal Brief from U.S. Appl. No. 13/802,918 dated Aug. 20, 2019.
Related Publications (1)
Number Date Country
20150268663 A1 Sep 2015 US
Continuations (1)
Number Date Country
Parent 11613652 Dec 2006 US
Child 14730991 US