Unveiling processing–property relationships in laser powder bed fusion: The synergy of machine learning and high-throughput experiments

Unveiling processing–property relationships in laser powder bed fusion: The synergy of machine learning and high-throughput experiments

Achieving desired mechanical properties in additive manufacturing requires many experiments and a well-defined design framework becomes crucial in reducing trials and conserving resources. Here, we propose a methodology embracing the synergy between high-throughput (HT) experimentation and hierarchi...

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Bibliographic Details
Main Authors: Mahsa Amiri, Zahra Zanjani Foumani, Penghui Cao, Lorenzo Valdevit, Ramin Bostanabad
Format: Article
Language:English
Published: Elsevier 2025-04-01
Series:Materials & Design
Subjects:
Laser powder bed fusion
High-throughput experiments
Gaussian process
Uncertainty quantification
17-4PH stainless steel
Mechanical properties
Online Access:http://www.sciencedirect.com/science/article/pii/S026412752500125X
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