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机器学习在铝基复合材料组分和工艺设计中的应用

杜晓双 曲囡 张学习 刘勇 朱景川

杜晓双, 曲囡, 张学习, 刘勇, 朱景川. 机器学习在铝基复合材料组分和工艺设计中的应用[J]. 材料开发与应用, 2024, 39(3): 1-9.
引用本文: 杜晓双, 曲囡, 张学习, 刘勇, 朱景川. 机器学习在铝基复合材料组分和工艺设计中的应用[J]. 材料开发与应用, 2024, 39(3): 1-9.
DU Xiaoshuang, QU Nan, ZHANG Xuexi, LIU Yong, ZHU Jingchuan. Application of Machine Learning in Composition and Process Design of Aluminum Matrix Composites[J]. Development and Application of Materials, 2024, 39(3): 1-9.
Citation: DU Xiaoshuang, QU Nan, ZHANG Xuexi, LIU Yong, ZHU Jingchuan. Application of Machine Learning in Composition and Process Design of Aluminum Matrix Composites[J]. Development and Application of Materials, 2024, 39(3): 1-9.

机器学习在铝基复合材料组分和工艺设计中的应用

基金项目: 

国家重点研发计划项目(2022YFB3705701)

详细信息
    作者简介:

    杜晓双,女,1999年生,研究方向:基于SiCp/Al界面调控的Al合金基体成分设计与组织性能。E-mail:13722511865@163.com

    通讯作者:

    刘勇,男,1975年生,教授,研究方向:合金相变与材料改性技术

    朱景川,男,1963年生,教授,研究方向:梯度功能复合材料设计、制备与应用

  • 中图分类号: TG146.21

Application of Machine Learning in Composition and Process Design of Aluminum Matrix Composites

  • 摘要: 铝基复合材料具有优异的力学性能,在航空、航天、国防、汽车等领域都得到一定的应用,机器学习在铝基复合材料组分和工艺设计中应用潜力巨大。首先介绍了机器学习的概念和常用算法,然后从性能预测、组分设计、工艺设计和材料体系与工艺一体化设计等4个方面详细论述了机器学习在铝基复合材料研发应用的进展,最后对机器学习在铝基复合材料领域未来的发展应用做了总结与展望。

     

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出版历程
  • 收稿日期:  2023-08-02
  • 网络出版日期:  2024-07-23

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