Desirability Fuzzy Approach for Optimizing Multiple Performance Characteristics in Machining Metal Matrix Composites

Abstract

In this work, a new approach for optimizing multiple performance characteristics in turning Al-SiCp metal matrix composite (MMC) is attempted. Desirability fuzzy approach is used to optimize process parameters viz., spindle speed (N), feed (f) and dept of cut (d) that minimizes surface roughness (Ra) and maximizes metal removal rate (MRR). The approach obtains desirability fuzzy grade value for the multiple responses using individual desirability value. The optimum parameters were obtained based on desirability fuzzy grade value and the response table/response graph for each level of the machining parameters was obtained. It is observed that the combination of turning parameters as N=1200 rpm, f=0.22 mm/rev and d=1.0 mm (i.e., N3–f2–d3) were obtained as optimal parameters producing minimum Ra and maximum MRR as 2.64 μm and 33.19 cm3/min respectively. Confirmation test of the predicted result shows that the error is within the range of 1.0 %. This clearly shows the proposed approach is found simple and effective tool for optimizing the complicated multiple performance characteristics.