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Optimization strategy for the indirect isothermal extrusion of high-strength aluminum alloy based on temporal fusion transformer

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Abstract

Isothermal extrusion is an important method for ensuring the quality of extruded profiles. On the basis of the actual indirect extrusion process of 7075 aluminum alloy with high strength and toughness, this study used the combination of a finite element model and deep neural network to construct a prediction model for the temperature series of the indirect extrusion outlet. The extrusion velocity–stroke control curves of the isothermal extrusion of aluminum profiles were obtained on the premise of ensuring maximum production efficiency and the absence of defects. Results showed that the constructed model had high robustness and performed well on the validation set with an average error of 1.8% and that the temperature difference at the outlet of the profile obtained through isothermal extrusion would not exceed 5 °C. By using machine learning, finite element simulation or experiments can be omitted from process optimization, and the indirect isothermal extrusion process can be rapidly optimized. Then, consistency along the extrusion direction was proven by microstructure evolution simulation.

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Funding

This work was supported by the National Natural Science Foundation of China (52063017), Major science and technology projects of Gansu Province (20ZD7GJ008), and the Young Doctoral Fund of Institutions of Higher Learning of Gansu Province (2022QB-049).

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Authors and Affiliations

  1. School of Material Science and Engineering, Lanzhou University of Technology, Lanzhou, 730050, China

    Ce Guo, Jisen Qiao & Qilun Li

  2. State Key Laboratory of Advanced Processing and Recycling of Nonferrous Metals, Lanzhou University of Technology, Lanzhou, 730050, China

    Ce Guo, Jisen Qiao & Qilun Li

  3. School of Electrical Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou, 730050, China

    Wenyan Wang

  4. sunCAE Consulting, Ginsterweg 3, 79194, Gundelfingen, Germany

    Dong-Zhi Sun

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  1. Ce Guo
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  2. Jisen Qiao
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  3. Wenyan Wang
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  4. Dong-Zhi Sun
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  5. Qilun Li
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Contributions

All authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Ce Guo, Jisen Qiao, and Qilun Li. The first draft of the manuscript was written by Ce Guo and all authors commented on previous versions of the manuscript. All authors read and approved the final manuscript.

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Correspondence to Jisen Qiao.

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Guo, C., Qiao, J., Wang, W. et al. Optimization strategy for the indirect isothermal extrusion of high-strength aluminum alloy based on temporal fusion transformer. Int J Adv Manuf Technol 126, 5179–5189 (2023). https://doi.org/10.1007/s00170-023-11370-9

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  • DOI: https://doi.org/10.1007/s00170-023-11370-9

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