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 while it is still difficult to accurately predict the initiation of wrinkling. The variational study of the potential function can be used to analyze the sheet metal wrinkling and acquire the stable energy criterion. In this paper, the sheet metal wrinkling mechanisms are explained in detail, and a 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 results of Yoshida buckling test (YBT) are used to verify the accuracy of the theoretical wrinkling prediction model. And the wrinkling prediction model has also applied to analyze the conventional spinning forming process, and the critical moment of flange wrinkling had been accurately predicted.
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October 2018
Research-Article
Theoretical Prediction of Sheet Metal Wrinkling Based on the Potential Function Analysis
Yixi Zhao,
Yixi Zhao
Shanghai Key Laboratory of Digital
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: yxzhao@sjtu.edu.cn
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: yxzhao@sjtu.edu.cn
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Xumin Wan,
Xumin Wan
Shanghai Key Laboratory of Digital
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
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Leitao Gao,
Leitao Gao
Shanghai Key Laboratory of Digital
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
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Qingshuai Kong,
Qingshuai Kong
Shanghai Key Laboratory of Digital
Manufacture for Thin-walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Manufacture for Thin-walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
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Zhongqi Yu
Zhongqi Yu
Shanghai Key Laboratory of Digital
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Search for other works by this author on:
Yixi Zhao
Shanghai Key Laboratory of Digital
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: yxzhao@sjtu.edu.cn
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
e-mail: yxzhao@sjtu.edu.cn
Xumin Wan
Shanghai Key Laboratory of Digital
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Leitao Gao
Shanghai Key Laboratory of Digital
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Qingshuai Kong
Shanghai Key Laboratory of Digital
Manufacture for Thin-walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Manufacture for Thin-walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Zhongqi Yu
Shanghai Key Laboratory of Digital
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
Manufacture for Thin-Walled Structures,
Shanghai Jiao Tong University,
Shanghai 200240, China
1Corresponding author.
Manuscript received November 22, 2017; final manuscript received June 26, 2018; published online July 27, 2018. Assoc. Editor: Yannis Korkolis.
J. Manuf. Sci. Eng. Oct 2018, 140(10): 101012 (12 pages)
Published Online: July 27, 2018
Article history
Received:
November 22, 2017
Revised:
June 26, 2018
Citation
Zhao, Y., Wan, X., Gao, L., Kong, Q., and Yu, Z. (July 27, 2018). "Theoretical Prediction of Sheet Metal Wrinkling Based on the Potential Function Analysis." ASME. J. Manuf. Sci. Eng. October 2018; 140(10): 101012. https://doi.org/10.1115/1.4040727
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