Transferability of Temperature Evolution of Dissimilar Wire-Arc Additively Manufactured Components by Machine Learning

Transferability of Temperature Evolution of Dissimilar Wire-Arc Additively Manufactured Components by Machine Learning

Wire-arc additive manufacturing (WAAM) is a promising industrial production technique. Without optimization, inherent temperature gradients can cause powerful residual stresses and microstructural defects. There is therefore a need for data-driven methods allowing real-time process optimization for...

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Bibliographic Details
Main Authors: Håvard Mo Fagersand, David Morin, Kjell Magne Mathisen, Jianying He, Zhiliang Zhang
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Materials
Subjects:
additive manufacturing
WAAM
machine learning
neural networks
temperature history
finite element method
Online Access:https://www.mdpi.com/1996-1944/17/3/742

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https://www.mdpi.com/1996-1944/17/3/742

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