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Research on Optimization of Clamping Deformation of Thin-walled Ring Gear Based on Multi-island Genetic Algorithm

Published: 24 September 2021 Publication History
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  • Abstract

    Reducing clamping deformation is a key technology to improve the machining accuracy of thin-walled ring gears. Aiming at the influence of the structure of the fixture components and the clamping force applied on the clamping deformation when the thin-walled ring gear is clamped, a multi-island genetic algorithm is proposed to optimize the fixture structure parameters and clamping force simultaneously. Taking the minimum clamping deformation of the thin-walled ring gear as the objective function, and the clamping force and fixture structure parameters as variables during the clamping process, the multi-island genetic algorithm is used to synchronize the clamping force of the thin-walled ring gear and the fixture structure. The clamping force and fixture structure parameters that minimize the clamping deformation of the thin-walled ring gear. The optimization results are compared with traditional finite element analysis, which effectively reduces the deformation caused by improper clamping force and unreasonable fixture structure.
    CCS CONCEPTS • Theory of computation • Design and analysis of algorithms
    Additional Keywords and Phrases: Clamping deformation, ABAQUS, Finite element, Multi-island genetic algorithm

    References

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    Xu Xiao-yu, Zhao Xiao-ci. Research on the influence of clamping sequence, fixture layout and clamping force on clamping deformation and synchronization optimization analysis [J]. Journal of Graphics, 2016, 37 (01):20-24.
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    Yang Yang. Fixture layout optimization based on genetic algorithm and finite element method [D]. Dalian University of Technology, 2015.
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    ICCAI '21: Proceedings of the 2021 7th International Conference on Computing and Artificial Intelligence
    April 2021
    498 pages
    ISBN:9781450389501
    DOI:10.1145/3467707
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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 24 September 2021

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    • Natural Science Foundation of Inner Mongolia Autonomous Region for funding

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    ICCAI '21

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