Quality Monitoring System Based On Multi-information Fusion For Aluminum Alloys DC Spot Welding

Monitoring and control technique for resistance spot weldingquality is a high efficiency, low cost quality assurance measure. However,the techniques developed are to monitor spot welding quality indirectlyby means of quality information, which is provided in welding process bythe regression models between quality parameter and a certain feature ofprocess parameter. The actual spot welding process is so complicated thatthe models are far away from the actual object, the models can onlysupply reliable information about weld quality within narrow conditions,which causes control effect unstable and applicability narrow, etc. To solve the above problems, the monitoring information must bestylized fully, and the model relations between monitoring informationand quality factors must be studied in detail, so that the models cansupply accurate and reliable spot welding quality information within wideconditions. Aluminum alloys resistance spot welding is widely used inautomobile industry. In order to solve the quality monitoring of aluminumalloys resistance spot welding, quality monitoring system based onmulti-information fusion for aluminum alloys DC spot welding wasdesigned in this paper. They system was design by Visual C++ andMATLAB, using simultaneous data collection card for data collection.The data collected were treated by data processing module and then fusedby BP ANN in fusion center. Nugget area was gained to estimate thequality of welding spots. The results suggest that the system has uniform sampling intervaland can collect signals such as welding current, welding voltage,electrode displacement, sound signals etc. The relationship betweenwelding condition and welding quality can be gained by fusingeigenvalues of signals.