Journal of Welding and Joining

The Korean Welding and Joining Society (대한용접접합학회)
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Development of Intelligent Monitoring System for Welding Process Faults Detection in Auto Body Assembly

자동차 차체 제조 공정에서 용접 공정 오류 검출을 위한 지능형 모니터링 시스템 개발

  • Kim, Tae-Hyung (Dept. of Mechanical Engineering, University of Michigan) ;
  • Yu, Ji-Young (Dept. of Mechanical Engineering, Hanyang University) ;
  • Rhee, Se-Hun (Div. of Mechanical Engineering, Hanyang University) ;
  • Park, Young-Whan (Dept. of Mechanical Engineering, Pukyong National University)
  • 김태형 (미시건대학교 기계공학과) ;
  • 유지영 (한양대학교 대학원 기계공학과) ;
  • 이세헌 (한양대학교 기계공학부) ;
  • 박영환 (부경대학교 기계공학과)
  • Received : 2010.04.23
  • Accepted : 2010.05.25
  • Published : 2010.08.31
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Abstract

In resistance spot welding, regardless of the optimal condition, bad weld quality was still produced due to complicated manufacturing processes such as electrode wear, misalignment between the electrode and workpiece, poor part fit-up, and etc.. Therefore, the goal of this study was to measure the process signal which contains weld quality information, and to develop the process fault monitoring system. Welding force signal obtained through variety experimental conditions was analyzed and divided into three categories: good, shunt, and poor fit-up group. And then a monitoring algorithm made up of an artificial neural network that could estimate the process fault of each different category based on pattern was developed.

Keywords

References

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Cited by

  1. Development and Application of Realtime Weld Quality Monitoring System vol.30, pp.1, 2012, https://doi.org/10.5781/KWJS.2012.30.1.44