Indian Journal of Engineering & Materials Sciences

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Optimization of wear parameters for aluminium 4% fly-ash composites


Affiliations
1 Department of Mechanical Engineering, K.S.R. College of Engineering, Tiruchengode 637215, India
2 Department of Mechanical Engineering, University College of Engineering, Panruti 607106,, India

Dry sliding wear behaviour of aluminium matrix composites (AMCs) prepared by stir casting with 4% as fly ash reinforcement has been studied in the work. Dry sliding wear tests have been conducted using a pin-on-disc wear-testing machine to study the effect of changeable process parameters such as load, time, and sliding velocity, which have been used as design variables on the output parameters wear rate (WR) and coefficient of friction (COF). Sensitivity analysis has been carried out to find out the most significant parameter that can be controlled to minimize the WR. Further, the wear parameters have been optimized using the technique for order of preference by similarity to ideal solution (TOPSIS) approach to reduce the WR. Therefore, this study offers useful insights to composite manufacturers, especially for automotive industries.
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  • Optimization of wear parameters for aluminium 4% fly-ash composites

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Authors

Subramaniam Magibalan
Department of Mechanical Engineering, K.S.R. College of Engineering, Tiruchengode 637215, India
Palanisamy Senthilkumar
Department of Mechanical Engineering, K.S.R. College of Engineering, Tiruchengode 637215, India
Chinnamuthu Senthilkumar
Department of Mechanical Engineering, University College of Engineering, Panruti 607106,, India
Muthusamy Prabu
Department of Mechanical Engineering, K.S.R. College of Engineering, Tiruchengode 637215, India

Abstract


Dry sliding wear behaviour of aluminium matrix composites (AMCs) prepared by stir casting with 4% as fly ash reinforcement has been studied in the work. Dry sliding wear tests have been conducted using a pin-on-disc wear-testing machine to study the effect of changeable process parameters such as load, time, and sliding velocity, which have been used as design variables on the output parameters wear rate (WR) and coefficient of friction (COF). Sensitivity analysis has been carried out to find out the most significant parameter that can be controlled to minimize the WR. Further, the wear parameters have been optimized using the technique for order of preference by similarity to ideal solution (TOPSIS) approach to reduce the WR. Therefore, this study offers useful insights to composite manufacturers, especially for automotive industries.