Chinese Journal of Ship Research, Volume. 18, Issue 6, 197(2023)

Springback prediction and mould design for multi-square punch forming of the strip based on FCN

Ling ZHU1,2, Jinhui DONG2, and Qiyu LIANG2
Author Affiliations
  • 1Key Laboratory of High Performance Ship Technology of Ministry of Education, Wuhan University of Technology, Wuhan 430063, China
  • 2School of Naval Architecture, Ocean and Energy Power Engineering, Wuhan University of Technology, Wuhan 430063, China
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    References(18)

    [12] PANTHI S K, RAMAKRISHNAN N, AHMED M et al. Finite element analysis of sheet metal bending process to predict the springback[J]. Materials & Design, 31, 657-662(2010).

    [22] [22] LONG J, SHELHAMER E, DARRELL T. Fully convolutional wks f semantic segmentation[C]Proceedings of 2015 IEEE Conference on Computer Vision Pattern Recognition. Boston: IEEE, 2015: 3431−3440.

    [24] [24] SZEGEDY C, LIU W, JIA Y Q, et al. Going deeper with convolutions[C]Proceedings of 2015 IEEE Conference on Computer Vision Pattern Recognition. Boston: IEEE, 2015: 1−12.

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    Ling ZHU, Jinhui DONG, Qiyu LIANG. Springback prediction and mould design for multi-square punch forming of the strip based on FCN[J]. Chinese Journal of Ship Research, 2023, 18(6): 197

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    Paper Information

    Category: Ship Structure and Fittings

    Received: Jun. 17, 2022

    Accepted: --

    Published Online: Mar. 21, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02964

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