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

Dharmana Lokanadham, Rakesh Chandmal Sharma, Srihari Palli, Sono Bhardawaj

2022International Journal on Recent and Innovation Trends in Computing and Communication26 citationsDOIOpen Access PDF

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.

Topics & Concepts

Materials scienceParticulatesSlurryTribologyComposite materialComposite numberAluminiumMetal matrix compositeParticle sizeFriction coefficientEngineeringEcologyChemical engineeringBiologyAluminum Alloys Composites PropertiesAdvanced ceramic materials synthesisAluminum Alloy Microstructure Properties
Wear Rate Modelling and Analysis of Limestone Slurry Particulate Composites Using the Fuzzy Method | Litcius