Optimization of Various Machining Parameters of EDM by using Genetic Algorithm

Abstract

In present days of the competitive environment, all the companies across the world are trying to reach the
market demand and increase the profits without increasing the cost of the product. It can be achieved by reducing the
losses with of high productivity and good surface finish. Machining of hard metals, complex shapes with of traditional
manufacturing is difficult. So it is replaced by the unconventional machining process. Electric discharge machining is
one of the unconventional machining processes used to machining hard metals, complex shapes with of metal erosion
technique 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 on
material removal rate, surface roughness. L27 Orthogonal Array design of experiments is used to do the machining on
work pieces. Multiple regression analysis is used to develop the objective function. Genetic Algorithm is used to optimize
the process on AISI P20, HE20, C45, and EN47 work materials by Copper, brass, and graphite as tool materials.