Paper Title

Effect of garnet and carbon on dry sliding wear behavior of chill cast aluminum hybrid composites

Authors

Nityanand Bandekar , M.G.Ananthaprasad

Keywords

Chill cast, garnet, hybrid, sliding wear, stir casting.

Abstract

The aim of this investigation was to develop and characterize aluminum alloy LM13 reinforced with garnet and carbon for hybrid composites by chill casting technique. Conventional stir casting technique was used to fabricate the composites. Various chill materials like Copper, Steel, Iron and Silicon carbide was used to improve the directional solidification. The garnet being added ranges from 3 to 12 wt-percent in steps of 3wt-percent and constant 3wt-percent of carbon. The experiment evaluates the microstructure and wear properties of the metal matrix composites by dry sliding wear test using a pin-on-disc wear tester by varying the applied load from 10-50N. The result reveals that, the reinforcement particles are randomly and fine dispersed in matrix alloy as seen in microstructure. SEM was used for examine worn surfaces. The addition of garnet and carbon reinforcement decreases the wear rate of hybrid composites. Further, directional chilling improves the wear resistance of the composites.

How To Cite

"Effect of garnet and carbon on dry sliding wear behavior of chill cast aluminum hybrid composites", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.1, Issue 7, page no.338 - 343, July-2016, Available :https://ijsdr.org/papers/IJSDR1607056.pdf

Issue

Volume 1 Issue 7, July-2016

Pages : 338 - 343

Other Publication Details

Paper Reg. ID: IJSDR_160654

Published Paper Id: IJSDR1607056

Downloads: 000346998

Research Area: Engineering

Country: Unknown, Unknown, India

Published Paper PDF: https://ijsdr.org/papers/IJSDR1607056

Published Paper URL: https://ijsdr.org/viewpaperforall?paper=IJSDR1607056

About Publisher

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

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