Wear Rate Modelling and Analysis of Limestone Slurry Particulate Composites Using the Fuzzy Method

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Schematic Descriptions of Adhesive and Abrasive Wear
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Published: Dec 10, 2022
DOI: https://doi.org/10.17762/ijritcc.v10i1s.5818
Keywords:
Aluminium metal Matrix Composite, Limestone Slurry Particulate, Fuzzy method, Wear rate

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Dharmana Lokanadham
Mech. Engg. Dept., Aditya Institute of Technology and Management, Tekkali, India
Rakesh Chandmal Sharma
Mech. Engg. Dept., Graphic Era (Deemed to be University) Dehradun, India
Srihari Palli
Mech. Engg. Dept., Aditya Institute of Technology and Management, Tekkali, India
Sono Bhardawaj
Mech. Engg. Dept., Shivalik College of Engineering, Dehradun, India

Abstract

The present work is aimed at developing an Aluminium metal Matrix Composite (AMC) with an industrial waste Limestone Slurry Particulate (LSP) dust as reinforcement which is available in plenty at no cost. As the stone industry is producing huge amounts of dust as waste, utilization of this waste dust for producing useful materials can reduce its adverse effects on the environment. AMC with reinforced LSP composites are manufactured using stir casting process with varying weight% of LSP (0%, 4%, 8%, 12%, 16%). The particle size of LSP varied from 10-60 µm with an average size of 42 µm. The present work investigates the effect of control parameters on tribological properties (coefficient of friction and wear rate) of AMC reinforced with LSP. The development of suitable wear rate and coefficient of friction models using fuzzy logic is accomplished during this study.

Article Details

How to Cite
Lokanadham, D. ., Sharma, R. C. ., Palli, S. ., & Bhardawaj, S. . (2022). Wear Rate Modelling and Analysis of Limestone Slurry Particulate Composites Using the Fuzzy Method. International Journal on Recent and Innovation Trends in Computing and Communication, 10(1s), 133–143. https://doi.org/10.17762/ijritcc.v10i1s.5818
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Vol. 10 No. 1s (2022): Special Issue on Enhancement and Innovations in Exploring Engineering
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Articles

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