A multi-criteria decision-making and machine learning approach to predict the tribological behavior of microwave-sintered Ti-0.8Ni–0.3Mo/X wt.% TiB composites

Chandramohan Anitha, Pandiarajan Balasundar, Noor Mohamed Mohammed Raffic, Maria Dasan Thomas Victor, Thulasiram Ramkumar, Sankara Narayanan Senthil, Balasubramaniyan Karthekeyan Parrthipan, Pandiarajan Narayanasamy

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science

Published online on August 04, 2026

Abstract

Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
This paper investigates the tribological behavior of microwave-sintered Ti-0.8Ni–0.3Mo/X wt.% TiB composites using an integrated Multi-Criteria Decision-Making (MCDM) and Machine Learning (ML) approach. It explores the relationship between composition and ...