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Thermal deformation behavior of graphene nanosheets reinforced 7075Al based on BP neural network and Arrhenius constitutive equation
更新时间:2025-05-26
    • Thermal deformation behavior of graphene nanosheets reinforced 7075Al based on BP neural network and Arrhenius constitutive equation

    • In the field of high-temperature alloys, experts have established BP neural networks and strain compensated Arrhenius models to provide solutions for optimizing the thermal processing parameters of 7075 aluminum based composite materials.
    • Journal of Jilin University(Engineering and Technology Edition)   Vol. 54, Issue 5, Pages: 1237-1245(2024)
    • 作者机构:

      山东科技大学 智能装备学院,山东 泰安 271019

    • DOI:10.13229/j.cnki.jdxbgxb.20220756    

      CLC: TG376.2
    • Received:18 June 2022

      Published:01 May 2024

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  • LOU Shu-mei,LI Yi-ming,LI Xin,et al.Thermal deformation behavior of graphene nanosheets reinforced 7075Al based on BP neural network and Arrhenius constitutive equation[J].Journal of Jilin University(Engineering and Technology Edition),2024,54(05):1237-1245. DOI: 10.13229/j.cnki.jdxbgxb.20220756.

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