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Design of Flexure Hinges Using Topology Optimization Based on Isogeometric Analysis

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Intelligent Robotics and Applications (ICIRA 2023)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 14269))

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Abstract

A novel method for design of flexure hinges using topology optimization based on isogeometric analysis is presented in this paper. The NURBS curve is employed to express geometric model and analysis model. The density distribution function is used to describe the material distribution and the weighted form of the compliance is developed as the objective function. The volume fraction and the position of rotational center are used as the constraints. The model for topological design of flexure hinges based on isogeometric analysis is established. Numerical examples are presented to demonstrate the validity of the proposed design method. The configurations of flexure hinge obtained by topology optimization are different under different spring stiffness conditions. As the spring stiffness value continues to increase, the thickness of the straight line in the middle gradually becomes thicker and the length becomes shorter, and the compliance of rotational direction gradually decreases. In addition, the influence of the position of the rotational center on topological design results is also investigated.

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Authors and Affiliations

  1. School of Mechanotronics and Vehicle Engineering, East China Jiaotong University, Nanchang, China

    Jinqing Zhan, Jiakun Yan, Xinfeng Yang & Min Liu

Authors
  1. Jinqing Zhan
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  2. Jiakun Yan
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  3. Xinfeng Yang
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  4. Min Liu
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Corresponding author

Correspondence to Min Liu .

Editor information

Editors and Affiliations

  1. Zhejiang University, Hangzhou, China

    Huayong Yang

  2. Harbin Institute of Technology, Shenzhen, China

    Honghai Liu

  3. Zhejiang University, Hangzhou, China

    Jun Zou

  4. Huazhong University of Science and Technology, Wuhan, China

    Zhouping Yin

  5. Shenyang Institute of Automation, Shenyang, Liaoning, China

    Lianqing Liu

  6. Zhejiang University, Hangzhou, China

    Geng Yang

  7. Zhejiang University, Hangzhou, China

    Xiaoping Ouyang

  8. Harbin Institute of Technology, Shenzhen, China

    Zhiyong Wang

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Zhan, J., Yan, J., Yang, X., Liu, M. (2023). Design of Flexure Hinges Using Topology Optimization Based on Isogeometric Analysis. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14269. Springer, Singapore. https://doi.org/10.1007/978-981-99-6489-5_27

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  • DOI: https://doi.org/10.1007/978-981-99-6489-5_27

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-6488-8

  • Online ISBN: 978-981-99-6489-5

  • eBook Packages: Computer ScienceComputer Science (R0)

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