MOORA-Based Tribological Studies on Red Mud Reinforced Aluminum Metal Matrix Composites

IF 1.5 Q3 ENGINEERING, MECHANICAL
S. Rajesh, S. Rajakarunakaran, R. Suthakarapandian, Pitchipoo Pandian
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引用次数: 22

Abstract

This paper presents the findings of an experimental investigation on the effects of applied load, sliding velocity, wt.% of reinforcement and hardness of the counterface material in dry sliding wear studies performed on red mud-based aluminum metal matrix composites (MMC). The specific wear rate and the coefficient of friction are considered as the output quality characteristics. Taguchi-based L9 orthogonal array has been used to accomplish the objective of the experimental study. Analysis of variance (ANOVA) is employed to find the optimal setting and the effect of each parameter on the output performance characteristics. It has been observed that optimal factor setting for each output performance is different. In order to minimize the two responses simultaneously, multiobjective optimization based on ratio analysis (MOORA) is adopted. MOORA revealed that the optimal combination of the dry sliding wear parameters for the multiperformance characteristics of the red mud based aluminium is the set normal load at 20 N, sliding velocity 3 m/s, % of reinforcement 20%, and counterface hardness of the material 58 HRC.
基于moora的赤泥增强铝金属基复合材料摩擦学研究
本文介绍了在红泥基铝金属基复合材料(MMC)干滑动磨损研究中,施加载荷、滑动速度、增强剂wt.%和表面材料硬度影响的实验研究结果。比磨损率和摩擦系数被认为是输出质量特征。采用基于田口的L9正交阵列实现了实验研究的目的。采用方差分析(ANOVA)找出最优设置以及各参数对输出性能特征的影响。已经观察到,每个输出性能的最佳因子设置是不同的。为了使两种响应同时最小化,采用了基于比率分析的多目标优化方法。MOORA结果表明,赤泥基铝的干滑动磨损参数的最佳组合为法向载荷为20 N,滑动速度为3 m/s,增强率为20%,材料表面硬度为58 HRC。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Advances in Tribology
Advances in Tribology ENGINEERING, MECHANICAL-
CiteScore
5.00
自引率
0.00%
发文量
1
审稿时长
13 weeks
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