Work

Tribological performance optimization of AZ91/TiB 2 magnesium matrix composites using stacked ensemble learning and Bayesian methods

Year: 2025

Type: article

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

DOI: 10.1177/13506501251377565

Authors: Sathish Kamaraj, Baskar Sanjeevi, Hariharasakthisudhan Ponnarengan, Logesh Kamaraj, Sathickbasha Katharbasha

Institutions: Vels University, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, B.S. Abdur Rahman Crescent Institute of Science & Technology

Language: English

Topic: Aluminum Alloys Composites Properties

Subfield: Mechanical Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4414233014

FWCI: 0.884

Cites: 55

Cited by: 3

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