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research-article

Theoretical prediction of sheet metal wrinkling based on the potential function analysis

[+] Author and Article Information
Yi-Xi Zhao

Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai; Shanghai Jiao Tong University, Shanghai 200240, China
yxzhao@sjtu.edu.cn

Xumin Wan

Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai; Shanghai Jiao Tong University, Shanghai 200240, China
wanxumin@sjtu.edu.cn

Leitao Gao

Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai; Shanghai Jiao Tong University, Shanghai 200240, China
1315253864@sjtu.edu.cn

Qingshuai Kong

Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai; Shanghai Jiao Tong University, Shanghai 200240, China
kongqingshuai@sjtu.edu.cn

Zhongqi Yu

Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures, Shanghai; Shanghai Jiao Tong University, Shanghai 200240, China
yuzhq@sjtu.edu.cn

1Corresponding author.

ASME doi:10.1115/1.4040727 History: Received November 22, 2017; Revised June 26, 2018

Abstract

The wrinkling research in sheet metal forming process has always been one of the most common hot topics. There are many methods to predict the sheet metal wrinkling but it is still difficult to accurately predict the moment of wrinkling. The variational study of the potential function is one of the common methods to analyze the sheet metal wrinkling and to derive the stability energy criterion. In this paper, the sheet metal wrinkling mechanisms is explained in detail and wrinkling prediction model is proposed based on derivation and the potential function analysis during sheet metal forming processes. Meanwhile, the finite element (FE) simulation and experimental data results of Yoshida Buckling Test (YBT) are used to verify the accurateness of the theoretical wrinkling prediction model. This model provides a reliable prediction method for the wrinkling in sheet metal forming processes. And the application of wrinkling prediction model based on conventional spinning forming has proved its practicality and reliability.

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