Tool Wear and Process Cost Optimization in WEDM of AMMC using Grey Relational Analysis

Abstract Wire Electrical Discharge Machining (WEDM) endorsed sensation in the production of newer materials, especially for the aerospace and medical industries. Using 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. In other hand Aluminum Metal Matrix Composites (AMMCs) are the precise materials for marine, automobile, aerospace, defense, and sports industries which are difficult to cut by conventional methods of machining. In this paper an optimal set of material and machining parameters is derived using hybrid approach called grey-fuzzy approach. For this AMMC samples are produced as per the taguchi experimental design by considering combined material and wire EDM parameters and machined using wedm machine. The obtained responses such as kerf width, tool wear, process cost and surface roughness are optimized using grey-fuzzy approach which is obtained by combining grey relational analysis and fuzzy logic.

Keywords Wire EDM, AMMCs, Taguchi design, tool wear, process cost Grey-fuzzy.

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Tool Wear and Process Cost Optimization in WEDM of AMMC using Grey Relational Analysis

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