Construction and application of model of W@Cu core-shell powder prepared by intermittent electrodeposition technology based on machine learning
DENG Nan1,2,3, LIANG Shuhua1,3, LI Jianqiang2
1. Shaanxi Province Key Laboratory of Electrical Materials and Infiltration Technology, School of Materials Science and Engineering, Xi'an University of Technology, Xi'an 710048, China; 2. School of Materials Science and Engineering, Beijing University of Science and Technology, Beijing 100083, China; 3. Ministry of Education Engineering Research Center of Conducting Materials and Composite Technology, Xi'an University of Technology, Xi'an 710048, China;
Abstract：The uniform distribution of W and Cu phases is very important for obtaining high performance W-Cu composites. This paper mainly studies the construction and application of the model of W@Cu core-shell powder prepared by intermittent electrodeposition based on machine learning. Firstly, a machine learning model for the preparation of W@Cu core-shell powder by intermittent electrodeposition was established, and the relationships between the theoretical core-shell powder coating thickness and current, electrodeposition time, particle size of the powder to be plated, and the load capacity were determined. Further, the experimental verification was carried out
邓楠, 梁淑华, 李建强. 基于机器学习的间歇式电沉积制备W@Cu 核-壳粉体模型的构建与应用[J]. 粉末冶金材料科学与工程, 2023, 28(1): 20-27.
DENG Nan, LIANG Shuhua, LI Jianqiang. Construction and application of model of W@Cu core-shell powder prepared by intermittent electrodeposition technology based on machine learning. Materials Science and Engineering of Powder Metallurgy, 2023, 28(1): 20-27.
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2023, Vol. 28 
