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

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...

Full description

Saved in:
Bibliographic Details
Main Authors: 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
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Materials Research and Technology
Subjects:
Machine learning
Laser powder bed fusion (LPBF)
Microstructure
Heat exchange efficiency
X-ray powder diffraction
And magnetocaloric performance
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785424028527
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2238785424028527

Similar Items