Machine-learning framework for predicting process-property relationships in additively manufactured NiTi shape memory alloys

The International Journal of Advanced Manufacturing Technology 2026

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Authors: Sayed Ehsan Saghaian, Milad Hemmati, Syed Mahedi Hasan, Othmane Benafan
DOI: 10.1007/s00170-026-17567-y
Cited by: 4
References: 72

Fields of Study & Subjects

Shape Memory Alloy Transformations Additive Manufacturing Materials and Processes High Entropy Alloys Studies

Publication details

Journal / source
The International Journal of Advanced Manufacturing Technology
Publisher
Springer Science and Business Media LLC
Volume
142
Issue
11-12
Pages
6393–6409
Publication date
1 February 2026
Language
EN