Journal of Welding and Joining

The Korean Welding and Joining Society (대한용접접합학회)
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Real Time Quality Assurance with a Pattern Recognition algorithm during Resistance Spot Welding

패턴 인식 기법을 이용한 저항 점 용접의 실시간 품질 판단

  • 조용준 (한양대학교 정밀기계공학과 대학원) ;
  • 이세헌 (한양대학교 기계공학부)
  • Published : 2000.06.01
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Abstract

Since resistance spot welding has become one of the most popular sheet metal fabrication processes, a strong emphasis is being put on the quality of the welds. Throughout the years many quality estimation systems have been developed by many researchers to ensure weld quality. In this study, the process variables, which were monitored in the primary circuit of the welding machine, are used to estimate the weld quality with Hopfield neural network. The primary dynamic resistance is vectorized and stored as five patterns in the network. As the welding is done, the dynamic resistance patterns are recognized and the quality is estimated with the proposed method. Due to the primary process variables, it is possible to utilize this algorithms as an in-process real time quality monitoring system.

Keywords

References

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