Publication

Abstract : The increasing demand for lightweight materials in various engineeringand structural applications led to the introduction of aluminum matrix composites(AMC). In this work, a novel zircon sand (ZrSiO4)-reinforced aluminum (grade-LM25) matrix composites were produced using stir casting method, and experimentalinvestigation on machinability based on 18 orthogonal array of mixed level designis carried out formulated by Taguchi. Machining conditions (Dry/MQL), cuttingspeed (CS), depth of cut (DoC), feed rate (FR) and zircon sand reinforcement arevaried in the experiments, and output responses like resultant cutting force (Fr),surface roughness (Ra) and tool wear (TW) were measured. Fuzzy logic (FL), a softcomputing technique coupled with one of a multi-objective optimization technique,grey relational analysis (GRA) is implemented to find the optimal cutting parameters.The significant factors are analyzed using ANOVA. The optimum machining levelsobtained are MQL cutting environment with a cutting speed of 200 m/min, feed rateof 0.06 mm/rev, depth of cut of 1 mm and 10% zircon sand particle reinforcement.