Cite the paper
Mechanics, Materials Science & Engineering, 12 (1), 2017, ISSN: 2412-5954.
Authors: G. Vijaya Kumar, B. Haritha Bai, P. Venkataramaiah
ABSTRACT. Aluminum Metal Matrix Composites (AMMCs) are the precise resources for aerospace, marine and automobile industries, due to their elevated strength to mass ratio. In machining vicinity of these materials, industries are facing lots of troubles, as the existence of abrasive particles such as silicon carbide, aluminium oxide etc., causes the brisk tool wear and hence tool malfunction within a very near to the ground machining time. In other hand, machining the 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. 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: Tool wear and process cost. These are analyzed and derived an optimal set of parameters with the patronage of fuzzy approach.
Keywords: AMMC, machining, WEDM, tool wear, process cost, analysis, optimization, fuzzy-logic
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