Prediction of microscopic residual stresses using genetic programming

Metallurgical manufacturing processes commonly used in the industry (rolling, extrusion, shaping, machining, etc.) usually cause residual stress development which can remain after thermal heat treatments. These stresses can be detrimental for the in-service performance of structural components, whic...

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Bibliographic Details

Published in:	Applications in engineering science Vol. 15; p. 100141
Main Authors:	Millán, Laura, Kronberger, Gabriel, Fernández, Ricardo, Bokuchava, Gizo, Halodova, Patrice, Sáez-Maderuelo, Alberto, González-Doncel, Gaspar, Hidalgo, J. Ignacio
Format:	Journal Article
Language:	English
Published:	Elsevier Ltd 01-09-2023 Elsevier
Subjects:	Machine learning Material science Microstructure Neutron diffraction Residual stress Symbolic regression Symbolic regression Material science Microstructure Neutron diffraction Residual stress Machine learning
Online Access:	Get full text
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