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Virtual and Physical Prototyping
Volume 19, 2024 - Issue 1
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Research Article
Accelerating lPBF process optimisation for NiTi shape memory alloys with enhanced and controllable properties through machine learning and multi-objective methods
Zhicheng LiState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, People’s Republic of ChinaView further author information
, Jing ZhongState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, People’s Republic of ChinaCorrespondence[email protected]
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Xingsong JiangState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, People’s Republic of ChinaView further author information
, Zhangxi WangState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, People’s Republic of ChinaView further author information
& Lijun ZhangState Key Laboratory of Powder Metallurgy, Central South University, Changsha, Hunan, People’s Republic of ChinaCorrespondence[email protected]
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Article: e2364221
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Received 16 Apr 2024, Accepted 30 May 2024, Published online: 19 Jun 2024
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