Machine-Learning-Based Thermal Conductivity Prediction for Additively Manufactured Alloys

Machine-Learning-Based Thermal Conductivity Prediction for Additively Manufactured Alloys

Thermal conductivity (TC) is greatly influenced by the working temperature, microstructures, thermal processing (heat treatment) history and the composition of alloys. Due to computational costs and lengthy experimental procedures, obtaining the thermal conductivity for novel alloys, particularly pa...

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Bibliographic Details
Main Authors: Uttam Bhandari, Yehong Chen, Huan Ding, Congyuan Zeng, Selami Emanet, Paul R. Gradl, Shengmin Guo
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Journal of Manufacturing and Materials Processing
Subjects:
thermal conductivity
additive manufacturing
machine learning
Bayesian optimization
Online Access:https://www.mdpi.com/2504-4494/7/5/160

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