A Fuzzy approach to trim down the struggles in machining of AMMC by means of optimization of the Surface Roughness and Kerf Width

Abstract

Aluminum Metal Matrix Composites (AMMCs) are the precise resources for aerospace, defense, marine, automobile, and sports industries due to their elevated strength to mass ratio, even though industries are facing lots of troubles in machining vicinity of these materials due to the existence of abrasive particles such as silicon carbide, aluminium oxide etc., which causes the brisk tool wear and hence tool malfunction within a very near to the ground machining time. In other hand Wire Electrical Discharge Machining (WEDM) may be a well alternative in the Machining of abrasive particle reinforced aluminium metal matrix composites over conventional machining. Also WEDM technology, convoluted cuts can be made through difficult-to-machine electrically conductive components with the high degree of accessible accuracy and the fine surface quality make WEDM priceless. Still, a threat occurred is the ceramic particles resists the current through the composites. Also the selection of Matrix material among the available materials is a tough criterion. Hence this paper focused on trim down these struggles. For this selecting the matrix material among the three series of aluminium materials available with the suppliers by means of the normalization criterion have been done. AMMC samples are produced as per the taguchi experimental design in view of collective material and WEDM parameters and machined to obtain the responses: surface roughness and kerf width. These are analyzed and derived an optimal set of parameters with the patronage of fuzzy approach.