Laser powder bed fusion processed LaCe(Fe, Mn, Si)₁₃ lattices for magnetic refrigeration: Process optimization, microstructure, and magnetocaloric performance

In this study, the optimal laser powder bed fusion (LPBF) processing parameters for fabricating fully dense LaCe(Fe,Mn,Si)13 thin walls have been identified through a machine-learning approach based on the Gaussian process regression (GPR) model. All the specimens and components were fabricated usin...

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Hlavní autoři:	Kun Sun, Yuting Zhang, Sheng Li, Zhaohe Gao, Xue Cao, Ziling Peng, Pengyan Huang, Abd El-Moez A. Mohamed, Zhigang Zheng, Minki Jeong, Yu-Lung Chiu, Yang Lu, Moataz M. Attallah
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Elsevier 2025-01-01
Edice:	Journal of Materials Research and Technology
Témata:	Machine learning Laser powder bed fusion (LPBF) Microstructure Heat exchange efficiency X-ray powder diffraction And magnetocaloric performance
On-line přístup:	http://www.sciencedirect.com/science/article/pii/S2238785424028527
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