SYSTEM AND METHOD MONITORING AND CHARACTERIZING MANUAL WELDING OPERATIONS

• US 20150056585A1
• Filed: 06/02/2014
• Published: 02/26/2015
• Est. Priority Date: 07/06/2012
• Status: Abandoned Application

• Current Assignee: Lincoln Global Incorporated (Lincoln Electric Holdings Incorporated)
• Original Assignee: EMI (Entegris Incorporated)
• Inventors: Conrardy, Christopher C., Boulware, Paul Christopher, Clark, Douglas A., Forquer, M. William
• Application Number:
  US14/293,826
• Publication Number:
  US 20150056585A1
• Time in Patent Office: Days
• US Class Current: 434/234
• CPC Class Codes: B23K 31/125 Weld quality monitoring
• CPC Class Codes: B23K 9/0956 using sensing means, e.g. optical
• CPC Class Codes: B23K 9/16 making use of shielding gas selection of media B23K35/38
• CPC Class Codes: B23K 9/32 Accessories earthing connections H01R
• CPC Class Codes: G09B 19/24 Use of tools
• CPC Class Codes: G09B 25/02 of industrial processes; of machinery

Abstract

A system and method for monitoring manual welding that includes a welding system that further includes hardware and software components for gathering and processing data in real time, wherein the data is derived from an actual welding exercise conducted by a welder; providing the system with part information, process variable control targets, and acceptability limits; selecting a part to be welded from the part information; indicating a production task to be completed on the part; performing the indicated production task; providing real-time feedback to the welder performing the task; evaluating the quality of the welder'"'"'s performance of the task based on the process variable control targets and acceptability limits; if necessary, requiring remedial action with regard to the quality of the performance of the task; and storing data gathered from the evaluation of the performance of the task.

Claims

1. ) A method for monitoring and characterizing manual welding, comprising;

(a) providing a welding system, wherein the welding system further includes both hardware and software components, wherein the hardware and software are operative to gather and process data in real time, and wherein the data is derived from an actual welding exercise conducted by a welder;

(b) providing the system with part information, process variable control targets, and acceptability limits;

(c) selecting a part to be welded from the part information;

(d) indicating a production task to be completed on the selected part;

(e) performing the indicated production task;

(f) optionally, providing real-time feedback to the welder performing the indicated production task;

(g) evaluating the quality of the welder'"'"'s performance of the indicated production task based on the process variable control targets and acceptability limits;

(h) optionally, requiring remedial action with regard to the quality of the performance of the indicated production task; and

(i) storing data gathered from the evaluation of the performance of the indicated production task.

2. ) The method of claim 1, wherein the welding system further includes:

(a) a data generating component, wherein the data generating component further includes;

(i) a fixture, wherein the geometric characteristics of the fixture are predetermined;

(ii) a workpiece adapted to be mounted on the fixture, wherein the workpiece includes at least one joint to be welded, and wherein the vector extending along the joint to be welded defines an operation path;

(iii) at least one calibration device, wherein each calibration device further includes at least two point markers integral therewith, and wherein the geometric relationship between the point markers and the operation path is predetermined; and

(iv) a welding tool, wherein the welding tool is operative to form a weld at the joint to be welded, wherein the welding tool defines a tool point and a tool vector, and wherein the welding tool further includes a target attached to the welding tool, wherein the target further includes a plurality of point markers mounted thereon in a predetermined pattern, and wherein the predetermined pattern of point markers is operative to define a rigid body; and

(b) a data capturing component, wherein the data capturing component further includes an imaging system for capturing images of the point markers; and

(c) a data processing component, wherein the data processing component is operative to receive information from the data capturing component and then calculate;

(i) the position and orientation of the operation path relative to the three-dimensional space viewable by the imaging system;

(ii) the position of the tool point and orientation of the tool vector relative to the rigid body; and

(iii) the position of the tool point and orientation of the tool vector relative to the operation path.

3. ) The method of claim 1, wherein the welding system is in communication with at least one cloud-based server.

4. ) The method of claim 1, wherein the part information further includes part variables and task variables;

wherein the part variables further include part name or identification, at least one solid model of the part, and a list of tasks to be completed on the part; and

wherein the task variables further include task name or identification, operation path or locations, operation directions, and other task specific variables.

5. ) The method of claim 1, wherein the production task to be completed on the part further includes form variables and execution variables;

wherein the form variables further include process type, joint type, position, material, thickness, electrode type, root gap, root landing, and included angle; and

wherein the execution variables further include polarity, work angle, travel angle, arc length, travel speed, tool placement, current, voltage, weld length, and weld size.

6. ) The method of claim 1, wherein the real-time feedback further includes automated audio feedback, and wherein automated audio feedback provides real-time feedback to the welder through various automated voice commands.

7. ) The method of claim 1, wherein the real-time feedback further includes augmented reality weld rendering, wherein augmented reality weld rendering further includes the use of sensors that provide real-time position and orientation values of both a welding helmet and a welding tool in addition to processing data to a cloud-based server, wherein the server performs rendering calculations or finite element calculations, and wherein image data is generated based on these calculations and is superimposed over a welder'"'"'s view of a welding joint during performing the indicated production task.

8. ) The method of claim 2, wherein evaluating the quality of the welder'"'"'s performance of the indicated production task is performance based, and wherein the performance-based evaluation uses direct performance measurements compared to preset control limits to make a quality determination along the operation path.

9. ) The method of claim 2, wherein evaluating the quality of the welder'"'"'s performance of the indicated production task is based on numerical quality simulations, and wherein numerical quality simulations use tool manipulation and process measurements to calculate probabilities of defect formation as a function of position along the operation path.

10. ) The method of claim 2, wherein evaluating the quality of the welder'"'"'s performance of the indicated production task is based on direct quality measurements, and wherein direct quality measurements are taken from sensor tools which physically measure for the presence of weld defects.

11. ) The method of claim 1, wherein the remedial action is either a disparate production task or a request to complete an active indicated production task.

12. ) A method for monitoring and characterizing manual welding, comprising;

(a) providing a welding system, wherein the welding system further includes both hardware and software components, wherein the hardware and software are operative to gather and process data in real time, and wherein the data is derived from an actual welding exercise conducted by a welder;

(b) providing the system with part information, process variable control targets, and acceptability limits;

(c) selecting a part to be welded from the part information;

(d) indicating a production task to be completed on the selected part;

(e) performing the indicated production task;

(f) providing real-time feedback to the welder performing the indicated production task;

(g) evaluating the quality of the welder'"'"'s performance of the indicated production task based on the process variable control targets and acceptability limits;

(h) requiring remedial action with regard to the quality of the performance of the indicated production task; and

(i) storing data gathered from the evaluation of the performance of the indicated production task.

13. ) The method of claim 12, wherein the welding system further includes:

(a) a data generating component, wherein the data generating component further includes;

(i) a fixture, wherein the geometric characteristics of the fixture are predetermined;

(ii) a workpiece adapted to be mounted on the fixture, wherein the workpiece includes at least one joint to be welded, and wherein the vector extending along the joint to be welded defines an operation path;

(iii) at least one calibration device, wherein each calibration device further includes at least two point markers integral therewith, and wherein the geometric relationship between the point markers and the operation path is predetermined; and

(iv) a welding tool, wherein the welding tool is operative to form a weld at the joint to be welded, wherein the welding tool defines a tool point and a tool vector, and wherein the welding tool further includes a target attached to the welding tool, wherein the target further includes a plurality of point markers mounted thereon in a predetermined pattern, and wherein the predetermined pattern of point markers is operative to define a rigid body; and

(b) a data capturing component, wherein the data capturing component further includes an imaging system for capturing images of the point markers; and

(c) a data processing component, wherein the data processing component is operative to receive information from the data capturing component and then calculate;

(i) the position and orientation of the operation path relative to the three-dimensional space viewable by the imaging system;

(ii) the position of the tool point and orientation of the tool vector relative to the rigid body; and

(iii) the position of the tool point and orientation of the tool vector relative to the operation path.

14. ) The method of claim 12, wherein the welding system is in communication with at least one cloud-based server.

15. ) The method of claim 12, wherein the part information further includes part variables and task variables;

wherein the part variables further include part name or identification, at least one solid model of the part, and a list of tasks to be completed on the part; and

wherein the task variables further include task name or identification, operation path or locations, operation directions, and other task specific variables.

16. ) The method of claim 12, wherein the production task to be completed on the part further includes form variables and execution variables;

wherein the form variables further include process type, joint type, position, material, thickness, electrode type, root gap, root landing, and included angle; and

wherein the execution variables further include polarity, work angle, travel angle, arc length, travel speed, tool placement, current, voltage, weld length, and weld size.

17. ) The method of claim 12, wherein the real-time feedback further includes automated audio feedback, and wherein automated audio feedback provides real-time feedback to the welder through various automated voice commands.

18. ) The method of claim 12, wherein the real-time feedback further includes augmented reality weld rendering, wherein augmented reality weld rendering further includes the use of sensors that provide real-time position and orientation values of both a welding helmet and a welding tool in addition to processing data to a cloud-based server, wherein the server performs rendering calculations or finite element calculations, and wherein image data is generated based on these calculations and is superimposed over a welder'"'"'s view of a welding joint during performing the indicated production task.

19. ) The method of claim 13, wherein evaluating the quality of the welder'"'"'s performance of the indicated production task is performance based, and wherein the performance-based evaluation uses direct performance measurements compared to preset control limits to make a quality determination along the operation path.

20. ) The method of claim 13, wherein evaluating the quality of the welder'"'"'s performance of the indicated production task is based on numerical quality simulations, and wherein numerical quality simulations use tool manipulation and process measurements to calculate probabilities of defect formation as a function of position along the operation path.

21. ) The method of claim 13, wherein evaluating the quality of the welder'"'"'s performance of the indicated production task is based on direct quality measurements, and wherein direct quality measurements are taken from sensor tools which physically measure for the presence of weld defects.

22. ) The method of claim 12, wherein the remedial action is either a disparate production task or a request to complete an active indicated production task.

23. ) A method for monitoring and characterizing manual welding, comprising;

(a) providing a welding system, wherein the welding system further includes both hardware and software components, wherein the hardware and software are operative to gather and process data in real time, and wherein the data is derived from an actual welding exercise conducted by a welder;

(b) providing the system with part information, process variable control targets, and acceptability limits, wherein the part information further includes part variables and task variables;

(c) selecting a part to be welded from the part information;

(d) indicating a production task to be completed on the selected part, wherein the production task to be completed on the part further includes form variables and execution variables;

(e) performing the indicated production task;

(f) providing real-time feedback to the welder performing the indicated production task, wherein real-time feedback further includes automated audio feedback or augmented reality weld rendering;

(g) evaluating the quality of the welder'"'"'s performance of the indicated production task based on the process variable control targets and acceptability limits, and wherein the quality evaluation is further based on performance measurements, numerical quality simulations;

direct quality measurements;

or combinations thereof;

(h) requiring remedial action with regard to the quality of the performance of the indicated production task, wherein the remedial action is either a disparate production task or a request to complete an active indicated production task; and

(i) storing data gathered from the evaluation of the performance of the indicated production task.

24. ) The method of claim 23, wherein the welding system further includes:

(a) a data generating component, wherein the data generating component further includes;

(i) a fixture, wherein the geometric characteristics of the fixture are predetermined;

(ii) a workpiece adapted to be mounted on the fixture, wherein the workpiece includes at least one joint to be welded, and wherein the vector extending along the joint to be welded defines an operation path;

(iii) at least one calibration device, wherein each calibration device further includes at least two point markers integral therewith, and wherein the geometric relationship between the point markers and the operation path is predetermined; and

(iv) a welding tool, wherein the welding tool is operative to form a weld at the joint to be welded, wherein the welding tool defines a tool point and a tool vector, and wherein the welding tool further includes a target attached to the welding tool, wherein the target further includes a plurality of point markers mounted thereon in a predetermined pattern, and wherein the predetermined pattern of point markers is operative to define a rigid body; and

(b) a data capturing component, wherein the data capturing component further includes an imaging system for capturing images of the point markers; and

(c) a data processing component, wherein the data processing component is operative to receive information from the data capturing component and then calculate;

(i) the position and orientation of the operation path relative to the three-dimensional space viewable by the imaging system;

(ii) the position of the tool point and orientation of the tool vector relative to the rigid body; and

(iii) the position of the tool point and orientation of the tool vector relative to the operation path.

25. ) The method of claim 23, wherein the welding system is in communication with at least one cloud-based server.

26. ) The method of claim 23, wherein the part variables further include part name or identification, at least one solid model of the part, and a list of tasks to be completed on the part;

and wherein the task variables further include task name or identification, operation path or locations, operation directions, and other task specific variables.

27. ) The method of claim 23, wherein the form variables further include process type, joint type, position, material, thickness, electrode type, root gap, root landing, and included angle;

and wherein the execution variables further include polarity, work angle, travel angle, arc length, travel speed, tool placement, current, voltage, weld length, and weld size.

28. ) The method of claim 23, wherein automated audio feedback provides real-time feedback to the welder through various automated voice commands.

29. ) The method of claim 23, wherein augmented reality weld rendering further includes the use of sensors that provide real-time position and orientation values of both a welding helmet and a welding tool in addition to processing data to a cloud-based server, wherein the server performs rendering calculations or finite element calculations, and wherein image data is generated based on these calculations and is superimposed over a welder'"'"'s view of a welding joint during performing the indicated production task.

30. ) The method of claim 24, wherein the performance-based evaluation uses direct performance measurements compared to preset control limits to make a quality determination along the operation path.

31. ) The method of claim 24, wherein numerical quality simulations use tool manipulation and process measurements to calculate probabilities of defect formation as a function of position along the operation path.

32. ) The method of claim 24, wherein direct quality measurements are taken from sensor tools which physically measure for the presence of weld defects.