Intelligent quality estimation of automobile steel sheet during Resistance spot welding

자동차용 강판(TRIP강)에 대한 저항 점 용접 품질 평가 알고리즘 개발

Quality estimation of the weld has been one of the important issues in RSW which is a main process of the sheet metal fabrication in auto-body industry. It was well known that among the various welding process variables, dynamic resistance has a close relation with nugget formation. In this study, a new quality estimation algorithm is developed with the primary dynamic resistance measured at welding machine timer. For this, Back propagation algorithm of neural network is used.