Transactions of Materials and Heat Treatment

Title：Prediction and experimental research on bending springback for free-form surface of SUS430 stainless steel

Authors： Duan Jinchang Liang Weikang Ma Li′an Wang Qianting

Unit： Fujian University of Technology Fujian Provincial Key Laboratory of Advanced Materials Processing and Application Fujian Provincial Precision Processing Manufacturing Engineering Research Center Mould Engineering Research Center of Fujian Province

KeyWords： free-form surface bending springback yield criterion stamping speeds friction factor

ClassificationCode：TG386

year,vol(issue):pagenumber：2022,47(2):220-228

Abstract：

In sheet metal bending, springback prediction and control are the key to accurate forming of product. Therefore, for the bending springback problem of free-form surface for SUS430 stainless steel with the thickness of 0.55 mm, the finite element simulation of free-form surface bending for SUS430 stainless steel sheet was carried out by three typical anisotropic yield criteria，such as Hill48, Barlat89 and YLD2000-2d, and combined with experimental verification, the influence laws of different yield criteria on springback amount of free-form surface bending were studied. The results show that the agreement between the simulation results of YLD2000-2d yield criterion and the experimental results is the best, which is suitable for the finite element simulation of free-form surface bending for SUS430 stainless steel. Furthermore, there is a certain deviation between the simulation results of Barlatt89 yield criterion and the experimental results, while the difference between the simulation results of Hill48 yield criterion and the experimental results is the biggest. Based on the selection of the YLD2000-2d yield criterion, the influence laws of the two process parameters of stamping speed and friction coefficient on the springback amount of free-form surface bending was analyzed. Within the range of reasonable process parameters, the higher the stamping speed is, the smaller the springback predicted by the numerical simulation is.

Funds：

中央引导地方科技发展专项（2018L3001）；福建省区域发展科技重大项目（2019H41019）；福州市科技创新平台项目（2020-PT-145）

作者简介：段晋昌（1996-），男，硕士研究生，E-mail：18636730765@163.com；通信作者：王乾廷（1977-），男，博士，教授，E-mail：cocolark@163.com

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