Prediction and optimization of tribocorrosion behaviour of AZ91D/ZrO₂ composites for implant applications using entropy-WASPAS-machine learning approach

Tribology International 2026

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Authors: E. Vinothkumar, A. Gnanavelbabu, Prahadeeswaran M.
DOI: 10.1016/j.triboint.2026.112241
Cited by: 1
References: 71

Fields of Study & Subjects

Titanium Alloys Microstructure and Properties Machine Learning in Materials Science Magnesium Alloys: Properties and Applications

Publication details

Journal / source
Tribology International
Publisher
Elsevier BV
Volume
223
Pages
112241–112241
Publication date
28 May 2026
Language
EN