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    • Mechanical Property Prediction of Non-heat Treatment Die Casting Aluminum Alloys Based on Machine Learning

    • 在压铸铝合金领域,专家利用LASSO回归和机器学习技术,建立了力学性能预测模型,为材料性能优化提供新方案。
    • Vol. 44, Issue 11, Pages: 1498-1503(2024)   

      Published: 20 November 2024

    • DOI: 10.15980/j.tzzz.2024.11.008     

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  • WANG X C,YUAN L Y,WANG X ,et al. Mechanical property prediction of non-heat treatment die casting aluminum alloys based on machine learning[J]. Special Casting & Nonferrous Alloys,2024,44(11):1 498-1 503. DOI: 10.15980/j.tzzz.2024.11.008.
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相关作者

Hao Yongzhi 华南理工大学国家金属材料近净成形工程技术研究中心
Zhao Haidong 华南理工大学国家金属材料近净成形工程技术研究中心
Lin Jiahua 华南理工大学国家金属材料近净成形工程技术研究中心
DENG Wei 昆明理工大学云南省内燃机重点实验室
LUO Kun 昆明理工大学云南省内燃机重点实验室
LEI Jilin 昆明理工大学云南省内燃机重点实验室
SONG Zhongmo 昆明理工大学云南省内燃机重点实验室
XU Yuanzhi 昆明云内动力股份有限公司

相关机构

National Engineering Research Center of Near-Net-Shape Forming for Metallic Materials,South China University of Technology
Yunnan Key Laboratory of Internal Combustion Engines, Kunming University of Science and Technology
Kunming Yunnei Power Co., Ltd.
Chengdu Zhengheng Auto Parts Co., Ltd.
State Key Laboratory of Advanced Special Steels, School of Materials Science and Engineering, Shanghai University
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