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A novel method for workpiece deformation prediction by amending initial residual stress based on SVR-GA

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Abstract

High-precision manufactured thin-walled pure copper components are widely adopted in precision physics experiments, which require workpieces with extremely high machining accuracy. Double-sided lapping is an ultra-precision machining method for obtaining high-precision surfaces. However, during double-sided lapping, the residual stress of the components tends to cause deformation, which affects the machining accuracy of the workpiece. Therefore, a model to predict workpiece deformation derived from residual stress in actual manufacturing should be established. To improve the accuracy of the prediction model, a novel method for predicting workpiece deformation by amending the initial residual stress slightly based on the support vector regression (SVR) and genetic algorithm (GA) is proposed. Firstly, a finite element method model is established for double-sided lapping to understand the deformation process. Subsequently, the SVR model is utilized to construct the relationship between residual stress and deformation. Next, the GA is used to determine the best residual stress adjustment value based on the actual deformation of the workpiece. Finally, the method is validated via double-sided lapping experiments.

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Acknowledgments

The authors acknowledge the financial support provided by the National Key Research and Development Program (Grant No. 2018YFA0702900), the Science Challenge Project (Grant No. TZ2016006), and the National Natural Science Foundation of China (Grant No. 51975096).

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Authors and Affiliations

  1. Key Laboratory for Precision and Non-Traditional Machining Technology of Ministry of Education, Dalian University of Technology, Dalian, 116024, Liaoning, People’s Republic of China

    Jiang Guo, Bin Wang, Zeng-Xu He, Bo Pan & Ren-Ke Kang

  2. Institute of Mechanical Manufacturing Technology, China Academy of Engineering Physics, Mianyang, 621999, Sichuan, People’s Republic of China

    Dong-Xing Du & Wen Huang

Authors
  1. Jiang Guo
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  2. Bin Wang
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  3. Zeng-Xu He
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  4. Bo Pan
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  5. Dong-Xing Du
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  6. Wen Huang
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  7. Ren-Ke Kang
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Correspondence to Jiang Guo or Ren-Ke Kang.

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Guo, J., Wang, B., He, ZX. et al. A novel method for workpiece deformation prediction by amending initial residual stress based on SVR-GA. Adv. Manuf. 9, 483–495 (2021). https://doi.org/10.1007/s40436-021-00368-9

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  • DOI: https://doi.org/10.1007/s40436-021-00368-9

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