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논문 기본 정보

자료유형
학술저널
저자정보
박지우 (한국생산기술연구원)
저널정보
한국소성·가공학회 소성·가공 소성가공 제32권 제6호(통권 제208호)
발행연도
2023.12
수록면
352 - 359 (8page)

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초록· 키워드

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Recently, independent suspension systems have been applied not only to passenger cars but also to large commercial vehicles. Therefore, the need for research to domestically produce such independent suspensions for large commercial vehicles is gradually increasing. In this paper, we conducted research on the manufacturing technology of the relay lever, which are integral components of independent suspension systems for large commercial vehicles. Our goal was to reduce the flash volume generated during the forging process. The shape variables of the initial billet were adjusted to find proper forming conditions that could minimize flash volume while performing product forming smoothly. Shape variables were set as input variables and the flash volume was set as an output variable, and simulations were carried out to analytically predict the volume of the flash area for each variable condition. Based on the data obtained through numerical simulations, a regression model and an artificial neural network model were used to develop a prediction model that can easily predict the flash volume for variable conditions. For the corresponding prediction model, a goodness of-fit test was performed to confirm a high level of fit. By comparing and analyzing the two prediction models, the high level of fit of the ANN model was confirmed.

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Abstract
1. 서론
2. 성형 해석
3. 결과 예측 모델
4. 결론
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