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자동차용 강판의 스폿용접 전극수명예측 알고리즘 개발

원문정보

Development of Algorithm for Predicting the Electrode Life of Spot Welding on Automotive Steel Plate

김영곤, 김재웅

피인용수 : 0(자료제공 : 네이버학술정보)

초록

영어

Spot welding is a representative process in automotive welding and the application of intelligent systems is accelerating. In particular, in the case of welding electrode management, the timing of electrode wear and dressing was determined by continuous spot welding evaluation, however there is concerned that errors in welding equipment or processes may work in a complex manner. In this study, a dynamic resistance waveform sensing and image measurement system that greatly affects the nugget formation, which is important to the quality of spot welding, was fabricated and used. Based on the experimental data of the galvanized steel sheet, an electrode life prediction algorithm for electrode wear was derived through CNN(Convolutional Neural Network) model of machine learning training.

목차

ABSTRACT
1. 서론
2. 실험 방법
2.1 스폿용접의 품질영향 인자
2.2 동저항 계측 및 영상처리시스템의 구성
3. 실험 결과 및 고찰
3.1 전극 수명 예측 기초 실험 수행
3.2 동저항 파형 및 전극이미지 분석 결과
3.3 기계학습모델 학습 훈련 결과
3.4 용접전극 상태 진단 알고리즘 도출
4. 결론
References

저자정보

  • 김영곤 Young-Gon Kim. Member, Korea Institute of Industrial Technology
  • 김재웅 Jae-Woong Kim. Korea Institute of Industrial Technology

참고문헌

자료제공 : 네이버학술정보

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