3D Printing parameter optimisation combined with heat treatment for achieving high density and enhanced performance in refractory high-entropy alloys

3D Printing parameter optimisation combined with heat treatment for achieving high density and enhanced performance in refractory high-entropy alloys

In this study, a Ti1.5Nb1Ta0.5Zr1Mo0.5 (TNTZM) high-entropy alloy was fabricated using laser powder bed fusion (LPBF). By integrating 63 sets of parameter trials with machine learning (ML) models, an optimised process window was identified, achieving a density of up to 99.9%. The combination of rela...

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Bibliographic Details
Main Authors: Deyu Jiang, Miao Luo, Changxi Liu, Yashuo Zhang, Lai-Chang Zhang, Kuaishe Wang, Wen Wang, Lechun Xie, Liqiang Wang, Weijie Lu, Di Zhang
Format: Article
Language:English
Published: Taylor & Francis Group 2025-12-01
Series:Virtual and Physical Prototyping
Subjects:
Refractory high-entropy alloys
additive manufacture
machine learning
heat treatment
cellular structure
Online Access:https://www.tandfonline.com/doi/10.1080/17452759.2025.2524524
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