Non-destructive aluminum weld quality estimator

• US 9,314,878 B2
• Filed: 09/12/2013
• Issued: 04/19/2016
• Est. Priority Date: 09/12/2013
• Status: Active Grant

• Current Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Original Assignee: Ford Global Technologies, LLC (Ford Motor Company)
• Inventors: Abou-Nasr, Mahmoud A., Filev, Dimitar Petrov, Hetrick, Elizabeth Therese, Moision, William C.
• Primary Examiner(s): STONER, KILEY SHAWN
• Application Number:
  US14/024,957
• Publication Number:
  US 20150069112A1
• Time in Patent Office: 950 Days
• Field of Search: None
• US Class Current: 1/1
• CPC Class Codes: B23K 11/10 Spot welding; Stitch welding
• CPC Class Codes: B23K 11/115 by means of two electrodes placed opposite one another on both sides of the welded parts
• CPC Class Codes: B23K 11/185 of aluminium or aluminium alloys
• CPC Class Codes: B23K 11/253 the measured parameter being a displacement or a position
• CPC Class Codes: B23K 11/255 the measured parameter being a force B23K11/253 takes precedence
• CPC Class Codes: B23K 11/257 the measured parameter being an electrical current
• CPC Class Codes: B23K 11/258 the measured parameter being a voltage
• CPC Class Codes: B23K 31/125 Weld quality monitoring

Abstract

An aluminum welding system includes a welding machine configured to weld a workpiece with an aluminum nugget and a measurement device configured to measure an attribute of at least one of the aluminum nugget and a welding process. The system further includes a processing device configured to output a weld quality signal representing a quality of an aluminum weld based at least in part on the attribute measured. A method includes measuring an attribute of at least one of an aluminum nugget forming a joint of a workpiece and a welding process, determining a quality of an aluminum weld based at least in part on the attribute measured, and outputting a weld quality signal representing the determined quality.

Claims

1. An aluminum welding system comprising:

a welding machine configured to weld a workpiece with an aluminum nugget;

a measurement device configured to electrically measure a plurality of attributes of the aluminum nugget a plurality of times during a welding process; and

a processing device programmed to continuously output, during the welding process, a weld quality signal representing a real-time quality of an aluminum weld based at least in part on the attributes measured and control the welding machine according to the weld quality signal continuously output during the welding process.

2. The system of claim 1, wherein the processing device includes a dynamic neural network configured to update the real-time quality of the aluminum weld represented by the weld quality signal at predetermined intervals of time during the welding process.

3. The system of claim 1, wherein the real-time quality of the aluminum weld represented by the weld quality signal represents a real-time likelihood that the quality of the aluminum weld meets at least one predetermined criterion.

4. The system of claim 1, wherein the processing device is configured to iteratively determine the real-time quality of the aluminum weld over a predetermined period of time during the welding process and continuously output the weld quality signal representing each real-time quality of the aluminum weld determined from the plurality of attributes.

5. The system of claim 1, wherein the plurality of attributes includes indentation width, indentation depth, and heat-affected zone width, and wherein the processing device is configured to:

iteratively determine the real-time quality of the weld based on the plurality of attributes; and

continuously generate the weld quality signal during the weld process based at least in part on the real-time quality of the weld determined at each iteration.

6. The system of claim 1, wherein the processing device is configured to control operation of the welding machine in accordance with real-time quality of the aluminum weld represented by the weld quality signal to improve a quality of the aluminum weld in real time during the welding process and before expulsion.

7. The system of claim 6, wherein improving the quality of the aluminum weld in real time includes the processing device adjusting a setting of the welding machine, during the welding process, if one of the real-time qualities of the aluminum weld represented by weld quality signal represents a poor weld.

8. The system of claim 6, wherein the processing device is configured to reject the weld if at least one of the real-time qualities of the aluminum weld represented by the weld quality signal is below a predetermined threshold.

9. The system of claim 8, wherein the processing device is configured to predict, during the welding process, whether the quality of the aluminum weld can be improved.

10. The system of claim 9, wherein the processing device is configured to reject the aluminum nugget if the quality of the aluminum weld is not predicted to improve during a remainder of the welding process.

12. The system of claim 1, wherein the measurement device includes a current coil configured to measure a magnitude of a current applied during the welding process.

13. The system of claim 12, wherein the plurality of attributes includes at least one of penetration and width of the aluminum nugget during the welding process, and wherein the processing device is programmed to generate the weld quality signal based at least in part on measurements of at least one of the penetration and width of the aluminum nugget iteratively performed during the welding process.

14. The system of claim 1, wherein the measurement device includes a voltmeter configured to measure a magnitude of a voltage applied during the welding process, and wherein the processing device is programmed to generate the weld quality signal based at least in part on measurements, iteratively performed during the welding process, of the magnitude of the voltage applied.

11. An aluminum welding system comprising:

a welding machine configured to weld a workpiece with an aluminum nugget;

a measurement device configured to electrically measure a plurality of attributes of the aluminum nugget during a welding process; and

a processing device configured to generate and continuously output, during the welding process, a weld quality signal representing a real-time quality of an aluminum weld based at least in part on the attributes measured and control operation of the welding machine based at least in part on the weld quality signal continuously output during the welding process,

wherein the processing device includes a dynamic neural network configured to update the real-time quality of the aluminum weld represented by the weld quality signal and wherein the real-time quality of the aluminum weld represented by the weld quality signal represents a real-time likelihood that the quality of the aluminum weld meets at least one predetermined criterion.

15. The system of claim 11, wherein the measurement device includes a current coil configured to measure a magnitude of a current applied during the welding process.

16. The system of claim 15, wherein the plurality of attributes includes at least one of penetration and width of the aluminum nugget during the welding process, and wherein the processing device is programmed to generate the weld quality signal based at least in part on measurements of at least one of the penetration and width of the aluminum nugget iteratively performed during the welding process.

17. The system of claim 11, wherein the measurement device includes a voltmeter configured to measure a magnitude of a voltage applied during the welding process, and wherein the processing device is programmed to generate the weld quality signal based at least in part on measurements, iteratively performed during the welding process, of the magnitude of the voltage applied.