Transactions of Materials and Heat Treatment

Title：Prediction on rolling force of oblique rolling piercing based on BP neural network

Authors： Lin Weilu Ding Xiaofeng Shuang Yuanhua

Unit： Taiyuan University of Science and Technology

KeyWords： BP neural network AZ31 magnesium alloy oblique rolling piercing rolling force MATLAB toolbox

ClassificationCode：TP183

year,vol(issue):pagenumber：2018,43(10):175-178

Abstract：

In order to predict the rolling force of AZ31 magnesium alloy tube billet in the oblique rolling piercing deformation zone with threeroller effectively and ensure the excellent performance of magnesium alloy tube after piercing, the BP neural network model of oblique rolling piercing with threeroller was established by MATLAB toolbox. Combined with the factors affecting the rolling force in the piercing process, three hundred and twentyfive data extracted from the actual production process were applied into experiment simples. According to the deformation characteristics of AZ31 magnesium alloy with different piercing parameters and the finite element analysis result of threeroller piercing, the theoretical calculation was realized by the empirical formula of rolling force, and the predicted results were compared with the theoretical results. The results show that the error between the actual value and the calculated value is 14%, the maximum error of the network prediction is 5%, the average error is 2.4% and the minimum error is 1.4%. Thus, the network prediction has high precision and simple operation, and the complex mathematical calculation model can be replaced.

Funds：

山西省留学基金资助项目（2017-084）

林伟路（1990-），男，硕士研究生，E-mail：1499794610@qq.com；通讯作者：双远华（1962-），男，博士，教授，E-mail：2465752485@qq.com

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