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

doi:10.19976/j.cnki.43-1448/TF.2022066

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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

Received: 14 July 2022 Published: 23 March 2023

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	DENG Nan
	LIANG Shuhua
	LI Jianqiang

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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[J]. Materials Science and Engineering of Powder Metallurgy, 2023, 28(1): 20-27.

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http://pmbjb.csu.edu.cn/EN/10.19976/j.cnki.43-1448/TF.2022066 OR http://pmbjb.csu.edu.cn/EN/Y2023/V28/I1/20

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