Abstract

Wire EDM is one of the most important and useful machining process in metal cutting industry due to its minimum heat-affected zone (HAZ) ability near the machined surface. Surface finish of the machined surface in Wire EDM mainly depends on the input parameter such as pulse current, voltage, pulse on time, wire feed and type of dielectric medium. In this current work, surface roughness was taken as a response characteristics for the analyses and further optimized with selected input process parameter. Response surface methodology centre composite second-order rotatable design was used to design the experiments. The selected process parameters for this current study were pulse on time, pulse off time, flushing pressure, wire tension, servo voltage and wire feed rate. The regression model for surface roughness was established with inclusion of all the input process parameter. Optimized values were predicted using genetic algorithms. Finally, predicted optimized value is compared with experimental value, and the closeness with obtained experimental value is stated interns of percentage.

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