Transactions of Materials and Heat Treatment

Title：Application of grey prediction model in free bending

Authors： Fu Zhengwei Tao Jing Zhao Gang

Unit： Wuhan University of Science and Technology Hubei Polytechnic University

KeyWords： bending bending springback grey system grey prediction technology bending angle

ClassificationCode：TG316.2

year,vol(issue):pagenumber：2019,44(9):63-67

Abstract：

In order to solve the problem of insufficient bending precision caused by bending springback for sheet metal during bending, the relationship between bending angle and pressing amount of upper die was revealed, so that the bending angle was obtained accurately and rapidly by controlling the pressing amount of upper die. Based on the experimental data of free bending for Q235 steel, the grey prediction GM(1,1) model of the pressing amount of upper die and bending angle in free bending was established, and according to the actual situation, in order to reduce the fitting error between prediction model and actual values, the mathematical models of the pressing amount of upper die and the bending angle in the segmented bending were obtained by the head-to-tail gray prediction modeling method. Furthermore, the maximum error between the prediction model and the actual data is 0.14% by the ABAQUS simulation verification, which meets the actual production requirements. The research shows that the expected bending angle is obtained by the control of the pressing amount of upper die during the actual bending process, and the accurate control of bending angle is possible.

Funds：

国家自然科学基金青年项目（51405145）；湖北省教育厅科学研究计划青年人才项目（Q20144404）

付争伟（1995-），男，硕士研究生 E-mail：1065171787@qq.com 通讯作者：赵刚（1976-），男，博士，教授 E-mail：zhaogang76@wust.edu.cn

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