SURFACE ROUGHNESS PREDICTION MODEL FOR ELECTRO CHEMICAL MACHINING OF SS-304 STEEL USING RESPONSE SURFACE METHODOLOGY

In this article an attempt has been made to develop a surface roughness prediction model in electrochemical machining of SS-304 using response surface methodology. The relationship between surface roughness and input factors has been developed in the form of cubic polynomial in terms of type of electrolyte, voltage and current using response surface methodology (RSM) based on face centered center composite rotatable design (CCRD). The model thus obtained is improved using Box-Cox transformation. An attempt has also been made to investigate the influence of different electro chemical machining parameters on surface roughness. The result shows that the electrolyte is the main parameter that affects the surface roughness while the voltage and flow rate also affect the surface roughness to some extent.