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Computer Simulation to Study Effect of Process Parameters on Erosive Wear of Composite

Author(s):

Aniket Ambadas Arulkar , Dr. D. Y. Patil College of Engineering & Innovation, Pune; Mr. P. P. Ritapure, Zeal College of Engineering & Research, Pune,

Keywords:

Air Jet Test Setup, Artificial Neural Network, Solid Particle Erosive Wear, Taguchi Method

Abstract

Zinc-Aluminium alloy were found to be superior to the traditional material such as cast iron, steel, plastic etc. as far as their mechanical and tribological property concern. But, at high stress conditions, zinc-aluminium (ZA) alloy has limited applications due to its lower creep resistance, as compared to traditional aluminium alloys and other structural materials, especially at temperatures above 100ËšC. Due to this reason there is a major loss of market potential for this alloy. It has been found that these problems to a great extent by replacing zinc with aluminium. This work present erosion wear behavior of Al-Zinc alloy reinforcement SiC composites and effect of process parameter on composite. Addition of silicon carbide reduces the wear of metal matrix composite material, it provides resistant to erosion, improves the hardness as well as tensile strength of the metal matrix composite material. Significant factors affecting the erosion rate of composites are impact velocity, wt. % SiC and impingement angle found to be most significance factors on the erosion rate of Al-25Zn metal matrix composites reinforced SiC.

Other Details

Paper ID: IJSRDV5I80216
Published in: Volume : 5, Issue : 8
Publication Date: 01/11/2017
Page(s): 206-209

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