Paper Details

In present days of the competitive environment, all the companies across the world are trying to reach themarket demand and increase the profits without increasing the cost of the product. It can be achieved by reducing thelosses with of high productivity and good surface finish. Machining of hard metals, complex shapes with of traditionalmanufacturing is difficult. So it is replaced by the unconventional machining process. Electric discharge machining isone of the unconventional machining processes used to machining hard metals, complex shapes with of metal erosiontechnique by using all electro conductive materials as tools. In optimizing process parameters selection is very crucial.Process parameters considered in these discharge current, pulse on time, pulse off time, tool material effects outputs onmaterial removal rate, surface roughness. L27 Orthogonal Array design of experiments is used to do the machining onwork pieces. Multiple regression analysis is used to develop the objective function. Genetic Algorithm is used to optimizethe process on AISI P20, HE20, C45, and EN47 work materials by Copper, brass, and graphite as tool materials.

C.Raghavendra, Dr.V.Venugopal Reddy, K.Pavan Kumar Reddy, “Optimization of Various Machining Parameters of EDM by using Genetic Algorithm”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 4, Issue 9, pp. 135-145, September 2017.