MECHANICAL AND TRIBOLOGICAL PROPERTIES OF AA-7075 AND GRAPHENE REINFORCED METAL MATRIX COMPOSITES

DARSHAN M , REDDAPPA H N , A CHANDRASHEKAR , VINOD KUMAR R

Aluminium alloy, Nano Graphene, Ultimate Tensile Strength, Yield Strength, Hardness, Stir casting, wear rate.

In this paper, the work report deals with the Investigations made on microstructure and Mechanical behaviour and Tribological properties of 4 different weight percentage of Aluminium alloy (7000 series) with Graphene nano powder composites. Aluminium matrix composite having Nano graphene is fabricated by liquid stir casting method. The microstructure of the composites was examined by Scanning Electron Microscopy and EDS. Further, mechanical behaviour of composites was studied. Tensile properties like hardness, ultimate tensile strength; yield strength and wear were evaluated as per ASTM standards. Microstructure observation revealed uniform distribution of reinforcement particles in the matrix and particulates were confirmed by EDS and SEM. The analysis gives the result that the ultimate tensile strength, yield strength and the hardness of composites increases with increases the percentage of graphene and the wear test results reveals that as the percentage of graphene increases wear rate decreases

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"MECHANICAL AND TRIBOLOGICAL PROPERTIES OF AA-7075 AND GRAPHENE REINFORCED METAL MATRIX COMPOSITES", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.3, Issue 7, page no.230 - 235, July-2018, Available :https://ijsdr.org/papers/IJSDR1807039.pdf

Volume 3 Issue 7, July-2018

Pages : 230 - 235

Paper Reg. ID: IJSDR_180520

Published Paper Id: IJSDR1807039

Downloads: 000346998

Research Area: Engineering

Country: BANGALORE URBAN, KARANATAKA, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1807039

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1807039

ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: IJSDR(IJ Publication) Janvi Wave

This work is licensed under a Creative Commons Attribution 4.0 International License and The Open Definition