Application of grey-taguchi method for optimization of dry sliding wear properties of aluminum MMCs

doi:10.1007/s11465-012-0329-0

Front Mech Eng

2012, Vol. 7

Issue (3) : 279-287 https://doi.org/10.1007/s11465-012-0329-0

RESEARCH ARTICLE

Application of grey-taguchi method for optimization of dry sliding wear properties of aluminum MMCs

Rajesh SIRIYALA¹(

), Gopala Krishna ALLURU², Rama Murthy Raju PENMETSA¹, Muthukannan DURAISELVAM³

1. Department of Mechanical Engineering, S.R.K.R. Engineering College, Bhimavaram 534204, India; 2. Department of Mechanical Engineering, University College of Engineering, JNTUK, Kakinada 533003, India; 3. Department of Production Engineering, National Institute of Technology, Tiruchirappalli 620015, India

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Abstract

Through a pin-on-disc type wear setup, the dry sliding wear behavior of SiC-reinforced aluminum composites produced using the molten metal mixing method was investigated in this paper. Dry sliding wear tests were carried on SiC-reinforced metal matrix composites (MMCs) and its matrix alloy sliding against a steel counter face. Different contact stresses, reinforcement percentages, sliding distances, and sliding velocities were selected as the control variables, and the responses were selected as the wear volume loss (WVL) and coefficient of friction (COF) to evaluate the dry sliding performance. An L25 orthogonal array was employed for the experimental design. Initially, the optimization of the dry sliding performance of the SiC-reinforced MMCs was performed using grey relational analysis (GRA). Based on the GRA, the optimum level parameters for overall grey relational grade in terms of WVL and COF were identified. Analysis of variance was performed to determine the effect of individual factors on the overall grey relational grade. The results indicated that the sliding velocity was the most effective factor among the control parameters on dry sliding wear, followed by the reinforcement percentage, sliding distance, and contact stress. Finally, the wear surface morphology and wear mechanism of the composites were investigated through scanning electron microscopy.

Keywords aluminum ANOVA (analysis of variance) grey relational analysis metal matrix composites SiC particulates Taguchi

Corresponding Author(s): SIRIYALA Rajesh,Email:rajeshsiri.mech@gmail.com

Issue Date: 05 September 2012

Cite this article:

Muthukannan DURAISELVAM,Rajesh SIRIYALA,Gopala Krishna ALLURU, et al. Application of grey-taguchi method for optimization of dry sliding wear properties of aluminum MMCs[J]. Front Mech Eng, 2012, 7(3): 279-287.

URL:

https://academic.hep.com.cn/fme/EN/10.1007/s11465-012-0329-0
https://academic.hep.com.cn/fme/EN/Y2012/V7/I3/279

Tab.1 Chemical composition of aluminum matrix alloy (weight percentage)

Tab.2 Designed experimental factors and their levels

Fig.1 Experimental set up used for conducting dry sliding wear

Tab.3 Experimental plan and results for WVL and COF of MMCs

Tab.4 Normalized, grey coefficients and overall grey relational grade values of WVL and COF

Tab.5 Response table for means of overall grey relational grade (Average grey relational grade: 0.6246; optimal values)

Fig.2 Effect of grey relational grade on different control variables

Tab.6 Results of ANOVA for grey relational grade

Tab.7 Results of the confirmation experiments

Fig.3 SEM image at 1.6 CS, 1800 SD, 2 SV and zero RP

Fig.4 SEM image at 1.6 CS , 1425 SD, 0.5 SV and 5 RP

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