Proceedings of the KWS Conference (대한용접접합학회:학술대회논문집)
- 2002.10a
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- Pages.330-335
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- 2002
A STUDY OF PROCESS PARAMETER MONITORING AND INTELLIGENT QUALITY ESTIMATION DURING RESISTANCE SPOT WELDING
- Kim, Taehyung (Department of Precision Mechanical Engineering, Hanyang University) ;
- Yongjun Cho (Department of Mechanical Engineering, The University of Michigan Ann Arbor) ;
- Kim, Yongjae (Welding Technology Research Team, R&D Center, Dosan Heavy Industries and Construction Co., Ltd.) ;
- Sehun Rhee (School of Mechanical Engineering, Hanyang University)
- Published : 2002.10.01
Abstract
Resistance spot welding is one of the most widely used processes in sheet metal fabrication. Quality assurance of welding has been important to increase the productivity. In this study, weld quality estimation using primary circuit dynamic resistance applied to the in-process real-time systems. For quality estimation, factors relating to quality were extracted from the dynamic resistance, measured in the timer. The relationship between these factors and weld quality was determined through a artificial neural network model. This method has the advantage over the conventional one, such as obtaining the quality information without the use of extra devices.
Keywords
- resistance spot welding;
- nugget formation;
- primary dynamic resistance;
- neural network;
- quality estimation