Analysis of the friction and wear of graphene reinforced aluminum metal matrix composites using machine learning models-Reference-Cited by-同舟云学术

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Analysis of the friction and wear of graphene reinforced aluminum metal matrix composites using machine learning models

Published:2022-06 Issue: Volume:170 Page:107527
ISSN:0301-679X
Container-title:Tribology International
language:en
Short-container-title:Tribology International

Author:

Hasan Md Syam,Wong Tien,Rohatgi Pradeep K.,Nosonovsky Michael

Publisher

Elsevier BV

Subject

Surfaces, Coatings and Films,Surfaces and Interfaces,Mechanical Engineering,Mechanics of Materials

Reference69 articles.

1. Tribological properties of metal matrix-graphite particle composites;Rohatgi;Int Mater Rev,1992

2. Influences of graphite reinforcement on the tribological properties of self-lubricating aluminum matrix composites for green tribology, sustainability, and energy efficiency—a review;Omrani;Int J Adv Manuf Technol,2016

3. A map for wear mechanisms in aluminium alloys;Liu;J Mater Sci,1991

4. Transition between mild and severe wear in aluminium alloys;Zhang;Acta Mater,1997

5. Analysis of dry sliding wear behaviour of Al6061/SiC/Al2O3 hybrid metal matrix composites;Umanath;Compos Part B: Eng,2013

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