Prediction of microscopic residual stresses using genetic programming

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
Main Authors: Laura Millán, Gabriel Kronberger, Ricardo Fernández, Gizo Bokuchava, Patrice Halodova, Alberto Sáez-Maderuelo, Gaspar González-Doncel, J. Ignacio Hidalgo
Format: Article
Language:English
Published: Elsevier 2023-09-01
Series:Applications in Engineering Science
Subjects:
Material science
Machine learning
Symbolic regression
Residual stress
Neutron diffraction
Microstructure
Online Access:http://www.sciencedirect.com/science/article/pii/S266649682300016X

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http://www.sciencedirect.com/science/article/pii/S266649682300016X

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