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A comprehensive error compensation strategy for machining process with general fixture layouts

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Abstract

The modeling of equivalent fixture error (EFE) in machining process has been proved to be an effective way for variation reduction. However, previously developed approaches did not describe the EFE phenomenon of workpiece deformation. This paper proposes a comprehensive EFE model that can simultaneously transform the datum errors, machine tool path error and workpiece deformation to EFE. The developed model can also describe the EFE phenomenon for general fixture layouts rather than being limited to an orthogonal 3–2-1 layout case. Based on this comprehensive error compensation strategy, the datum errors, machine tool path error and workpiece deformation can be compensated for machining process with general fixture layouts. The case studies demonstrate the model validity through the real machining experiments and also show a simple simulation process for error compensation.

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Funding

This work has been partially supported by the National Natural Science Foundation of China (Grant Nos. 51575335), Science and Technology Commission of Shanghai Municipality (Grant No. 16030501300) and Open Project of Shanghai Key Laboratory of Digital Manufacture for Thin-walled Structures (Grant No. 2019-002). The authors would like to thank these financial supports.

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Author notes

  1. Yanfeng Xing

    Present address: School of Mechanical and Automobile Engineering, Shanghai University of Engineering Science, 333 Longteng Road, Shanghai, 201620, People’s Republic of China

Authors and Affiliations

  1. School of Mechanical and Automobile Engineering, Shanghai University of Engineering Science, 333 Longteng Road, Shanghai, 201620, People’s Republic of China

    Fuyong Yang & Xuexing Li

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  1. Fuyong Yang
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  2. Yanfeng Xing
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  3. Xuexing Li
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Correspondence to Yanfeng Xing.

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Yang, F., Xing, Y. & Li, X. A comprehensive error compensation strategy for machining process with general fixture layouts. Int J Adv Manuf Technol 107, 2707–2717 (2020). https://doi.org/10.1007/s00170-020-05148-6

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