Machine learning in additive manufacturing——NiTi alloy’s transformation behavior

Machine learning in additive manufacturing——NiTi alloy’s transformation behavior

The laser powder bed fused NiTi alloys (LPBF-NiTi) demonstrate shape memory functionality and superelasticity as a result of their distinctive phase transition characteristics. Nevertheless, achieving precise control and regulation of the phase transition temperature poses a challenge, influenced by...

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Bibliographic Details
Main Authors: Lidong Gu, Kongyuan Yang, Hongchang Ding, Zezhou Xu, Chunling Mao, Panpan Li, Zhenglei Yu, Yunting Guo, Luquan Ren
Format: Article
Language:English
Published: Elsevier 2024-11-01
Series:Materials & Design
Subjects:
Laser powder bed fusion (LPBF)
NiTi alloy
Machine learning (ML)
Interpretable features
Controllable Phase transition
Online Access:http://www.sciencedirect.com/science/article/pii/S0264127524008189
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