Transactions of Materials and Heat Treatment

Title：Research on constitutive relation of tube power spinning forming based on BP neural network

Authors： Li Tao Fan Wenxin Zhao Junsheng Liang Yuxiu Wang Lianhong

Unit： North University of China North General Power Group Co. Ltd.

KeyWords： power spinning constitutive model BP neural network QSn7-0.2

ClassificationCode：TG376.3

year,vol(issue):pagenumber：2014,39(2):150-153

Abstract：

Using TLS-W50000A microcomputer control spring testing machine, the uniaxial tensile quasistatic experiment under the isothermal constant strain rate was conducted for QSn7-0.2 copper alloy power spinning spieces with different wall thickness reduction ratios. Based on the obtained experimental data, the BP neural network technology was adopted to establish the normal temperature constitutive relationship model under different wall thickness reduction ratios. The results show that the BP neural network constitutive relationship model has high prediction accuracy and can accurately describe the relationship between stress and strain of tin bronze QSn7-0.2 with different wall thickness reduction ratios during tensile deformation，and it provides an accurate and effective method for the constitutive modeling of power spinning.

Funds：

山西省自然科学基金资助项目（2012011023-2）；山西省高校高新技术产业化项目（20120021）

李涛（1989- ），男，硕士研究生

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