A strategy combining machine learning and physical metallurgical principles to predict mechanical properties for hot rolled Ti micro-alloyed steels
Author:
Publisher
Elsevier BV
Subject
Industrial and Manufacturing Engineering,Metals and Alloys,Computer Science Applications,Modeling and Simulation,Ceramics and Composites
Reference53 articles.
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5. Influence of deformation temperature on the ferrite grain refinement in a low carbon Nb-Ti microalloyed steel;Eghbali;J. Mater. Process. Technol.,2006
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