Machine learning-based prediction of the mechanical properties of β titanium shape memory alloys

Machine learning-based prediction of the mechanical properties of β titanium shape memory alloys

This study developed machine learning (ML) models to predict the mechanical properties of Ni-free β-type titanium shape memory alloys (SMAs). Using a dataset of 107 entries derived from both literature and laboratory experiments, we focused on predicting ultimate tensile strength (UTS) and elongatio...

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Bibliographic Details
Main Authors: Naoki Nohira, Taichi Ichisawa, Masaki Tahara, Itsuo Kumazawa, Hideki Hosoda
Format: Article
Language:English
Published: Elsevier 2025-01-01
Series:Journal of Materials Research and Technology
Subjects:
β-Ti alloy
Machine learning
Mechanical property
Regression model
Shape memory alloy
Online Access:http://www.sciencedirect.com/science/article/pii/S2238785424030473
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