Journal of the Korean Society for Precision Engineering (한국정밀공학회지)
- Volume 16 Issue 10
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- Pages.141-151
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- 1999
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- 1225-9071(pISSN)
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- 2287-8769(eISSN)
The Quality Assurance Technique of Resistance Spot Welding Pieces using Neuro-Fuzzy Algorithm
뉴로-퍼지 알고리즘을 이용한 점용접재의 강도추론 기술
- Published : 1999.10.01
Abstract
The resistance Spot Welding is widely used in the field of assembling the plates. However we don't still have any satisfactory solution, which is non-destructive quality evaluation in real-time or on-line, against it. Moreover, even though the rate of welding under the condition of expulsion has been high until now, quality control of welding against expulsion hasn't still been established. In this paper, it was proposed on the quality assurance technique of resistance spot welding pieces using Neuro-Fuzzy algorithm. Four parameters from electrode separation signal in the case of non-expulsion, and dynamic resistance patterns in the case of expulsion are selected as fuzzy input parameters. The parameters consist of Fuzzy Inference System are determined through Neuro-Learning algorithm. And then, fuzzy Inference System is constructed. It was confirmed that the fuzzy inference values of strength have within
Keywords
- Resistance Spot Welding;
- Neuro-Fuzzy Inference System;
- Tensile-Shear Strength;
- Electrode Separation;
- Dynamic Resistance
- 저항 점용접;
- 누로-퍼지 추론 시스템;
- 인장-진단강도;
- 전극분리;
- 동저항;