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[구조강도부문] 신경회로망을 이용한 최적용접잔류응력 예측에 관한 연구
차용훈(Yonghoon Cha),김일수(ilsoo Kim),이연신(Younsin Lee),김덕중(Duckjong Kim),성백섭(Backsub Sung) 한국자동차공학회 2000 한국자동차공학회 춘 추계 학술대회 논문집 Vol.- No.-
The objective of the study is the development of the system for effective prediction of residual stresses using the backpropagation algorithm from the neural network.<br/> The achieve of this goal, the series experiment were carried out and measured the residual stresses using the sectional method. Using the experimental results, the optional control algorithms using a neural network should be developed in order to reduce the effect of the external disturbances on during GMA welding processes.<br/> Then the results obtained from this study showed that through comparison between the measured and calculated results, the neural network based on back propagation algorithm might be controlled weld quality. This system can not only help to understand the interaction between the process parameters and residual stress, but also, improve the quantity control for welded structures.