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Inverse Determination of B340LA Material Parameters in Bending Springback Process by Dynamic Optimization Approach

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Intelligent Robotics and Applications (ICIRA 2021)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13015))

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Abstract

In order to obtain the accurate B340LA material parameter, in this paper, a dynamic optimization approach was proposed to inverse determine the material parameters in bending springback process. After the inverse determination for material parameters, the finite element simulation result indicates a close agreement with actual experiment, and the relative errors between inverse determined and actual material parameters are also very small. It can be concluded that proposed optimization approach to inverse determine the material parameters is efficient and accurate.

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Funding

This work was supported by National Key Research and Development Program of China (2019YFB1312101).

Author information

Authors and Affiliations

  1. Department of Mechanical Engineering, Luoyang Institute of Science and Technology, Luoyang, 471023, China

    Zhefeng Guo, Li Liang, Tianyue Zhou, Huixian Zhang & Limin Ma

Authors
  1. Zhefeng Guo
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  2. Li Liang
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  3. Tianyue Zhou
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  4. Huixian Zhang
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  5. Limin Ma
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Editor information

Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Xin-Jun Liu

  2. Tsinghua University, Beijing, China

    Zhenguo Nie

  3. Beihang University, Beijing, China

    Jingjun Yu

  4. Tsinghua University, Beijing, China

    Fugui Xie

  5. Shandong University, Shandong, China

    Rui Song

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Guo, Z., Liang, L., Zhou, T., Zhang, H., Ma, L. (2021). Inverse Determination of B340LA Material Parameters in Bending Springback Process by Dynamic Optimization Approach. In: Liu, XJ., Nie, Z., Yu, J., Xie, F., Song, R. (eds) Intelligent Robotics and Applications. ICIRA 2021. Lecture Notes in Computer Science(), vol 13015. Springer, Cham. https://doi.org/10.1007/978-3-030-89134-3_48

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  • DOI: https://doi.org/10.1007/978-3-030-89134-3_48

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-89133-6

  • Online ISBN: 978-3-030-89134-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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