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Tribological performance optimization of AZ91/TiB2 magnesium matrix composites using stacked ensemble learning and Bayesian methods

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Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology

Published online on

Abstract

Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology, Ahead of Print.
This work aims to develop and optimize lightweight, wear-resistant AZ91 magnesium matrix composites reinforced with titanium diboride (TiB2) for demanding tribological applications. A hybrid ultrasonic-assisted mechanical stir casting technique was used ...