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Advancements in machine learning for material design and process optimization in the field of additive manufacturing

Hao-ran Zhou Hao Yang Huai-qian Li Ying-chun Ma Sen Yu Jian shi Jing-chang Cheng Peng Gao Bo Yu Zhi-quan Miao Yan-peng Wei

China Foundry2024，Vol.21Issue(2)：P.101-115,15.

China Foundry2024，Vol.21Issue(2)：P.101-115,15.DOI:10.1007/s41230-024-3145-3

Advancements in machine learning for material design and process optimization in the field of additive manufacturing

Hao-ran Zhou ¹Hao Yang ²Huai-qian Li ¹Ying-chun Ma ¹Sen Yu ³Jian shi ¹Jing-chang Cheng ¹Peng Gao ¹Bo Yu ¹Zhi-quan Miao ¹Yan-peng Wei⁴

作者信息

1. National Key Laboratory of Advanced Casting Technologies,Shenyang Research Institute of Foundry Co.,Ltd.CAM,Shenyang 110022,China
2. Key Laboratory of Space Physics,Beijing 100076,China
3. School of Materials Science and Engineering,Nanyang Technological University,639798,Singapore
4. National Key Laboratory of Advanced Casting Technologies,Shenyang Research Institute of Foundry Co.,Ltd.CAM,Shenyang 110022,China Department of Mechanical Engineering,Tsinghua University,Beijing 100084,China
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摘要

关键词

additive manufacturing/machine learning/material design/process optimization/intersection of disciplines/embedded machine learning

分类

信息技术与安全科学

引用本文复制引用

Hao-ran Zhou,Hao Yang,Huai-qian Li,Ying-chun Ma,Sen Yu,Jian shi,Jing-chang Cheng,Peng Gao,Bo Yu,Zhi-quan Miao,Yan-peng Wei..Advancements in machine learning for material design and process optimization in the field of additive manufacturing[J].China Foundry,2024,21(2):P.101-115,15.

基金项目

financially supported by the Technology Development Fund of China Academy of Machinery Science and Technology(No.170221ZY01)。（No.170221ZY01）

China Foundry

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ISSN：1672-6421

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