Developing a phenomenological equation to predict yield strength from composition and microstructure in β processed Ti-6Al-4V

Published 2016 View Full Article

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Title
Developing a phenomenological equation to predict yield strength from composition and microstructure in β processed Ti-6Al-4V
Authors
Keywords
Artificial neural networks, Genetic algorithms, Monte Carlo simulations, Titanium alloys, Phenomenological equation, Yield strength
Journal
MATERIALS SCIENCE AND ENGINEERING A-STRUCTURAL MATERIALS PROPERTIES MICROSTRUCTURE AND PROCESSING
Volume 660, Issue -, Pages 172-180
Publisher
Elsevier BV
Online
2016-02-20
DOI
10.1016/j.msea.2016.02.052

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