Evolutionary Design of Machining Fixture Layout for Thin-Walled Structure

Author:

Liu Yang1ORCID,Guan Shixi1,Zhao Hong2,Liu Waner3,Duan Liancheng4,Sha Yedian1

Affiliation:

1. School of Aerospace Engineering, North University of China, Taiyuan 030051, China

2. Jinxi Industrial Group Co., Ltd., Taiyuan, Shanxi 030027, China

3. Beijing Institute of Astronautical Systems Engineering, Beijing 100076, China

4. Xi’an North Huian Chemical Industry Co., Ltd., Xi’an 710302, China

Abstract

Fixture layout for machining thin-walled structures plays an important role in fixture performance. This work focuses on the optimization design of machining fixture layout including clamp layout and the layout of support heads. A universal optimization methodology that can automatically generate the optimal machining fixture layout is proposed. The optimization of fixture layout is implemented based on the criteria of minimizing maximum deflection of the thin-walled workpiece while remain relatively small torque caused by the clamping tables. An evolutionary algorithm is employed to solve the fixture layout optimization for the optimal solution. The optimal position of the support heads and the layout of clamping tables obtained from this work vary along with the change of cutting force. To validate the proposed optimization methodology, a fixture layout design for a typical thin-walled structure is optimized as an example. The case study demonstrates the application of the proposed approach in the fixture layout design for thin-walled structures, which is beneficial to design an optimal fixture layout.

Funder

Shanxi Postgraduate Innovation Project

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Reference44 articles.

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2. Finite strip modeling of the varying dynamics of thin-walled pocket structures during machining

3. Recent progress in flexible supporting technology for aerospace thin-walled parts: a review;B. Yan;Chinese Journal of Aeronautics,2021

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5. Optimization of Fixture Layout Based on Error Amplification Factors

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