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High-Temperature Deformation Constitutive Model of Zircaloy-4 Based on the Support Vector Regression Algorithm during Hot Rolling

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Abstract

Due to the small range of plastic deformation temperatures during hot rolling of Zircaloy-4 plates, it is important to determine the appropriate flow behaviors for plate profile control of Zircaloy-4 plates. The developed microstructures and mechanical properties of Zircaloy-4 are evaluated by metallographic observations and Gleeble-3800 thermal simulation tester. To meet the need of data with small-sample properties, the support vector regression (SVR) algorithm is adopted to predict the constitutive model of Zircaloy-4, and the improved particle swarm optimization algorithm (IPSO) is used to optimize parameters of SVR algorithm. Meanwhile, results indicate that the correlation coefficient (R2) value of zirconium alloy constitutive model is 96.805%. Based on employed algorithm, comparing with modified Arrhenius model, the results show the superiority of IPSO-SVR algorithm. This provides an important theoretical basis for FE simulation of controlling the Zircaloy-4 plate shape during hot rolling process.

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Acknowledgment

This work was supported by the National Science and Technology Major Project of China (2019ZX06002001-004), the Scientific and Technological Innovation Foundation of Shunde Graduate School of University of Science and Technology Beijing (BK19A006) and the Innovation Method Fund of China (2016IM010300).

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Authors and Affiliations

  1. School of Mechanical Engineering, University of Science and Technology Beijing, Beijing, 100083, China

    Yuan Cao, Jianguo Cao, Leilei Wang & Chunning Song

  2. Institute of Artificial Intelligence, University of Science and Technology Beijing, Beijing, 100083, China

    Yuan Cao, Jianguo Cao, Leilei Wang & Chunning Song

  3. National Engineering Research Center of Flat Rolling Equipment, University of Science and Technology Beijing, Beijing, 100083, China

    Yuan Cao, Jianguo Cao, Leilei Wang & Chunning Song

  4. China Academy of Machinery Science and Technology Group, Beijing, 100083, China

    Yuan Cao & Fang Li

  5. State Nuclear Bao Ti Zirconium Industry Company, Baoji, 721013, Shanxi, China

    Pengfei Zhang

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  1. Yuan Cao
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Correspondence to Jianguo Cao.

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Cao, Y., Cao, J., Wang, L. et al. High-Temperature Deformation Constitutive Model of Zircaloy-4 Based on the Support Vector Regression Algorithm during Hot Rolling. J. of Materi Eng and Perform 31, 10237–10247 (2022). https://doi.org/10.1007/s11665-022-06987-y

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