MULTIRESPONSE OPTIMIZATION OF SURFACE GRINDING OPERATION OF EN19 ALLOY STEEL USING GREY RELATIONAL ANALYSIS (GRA)

Conventional grinding fluid is widely used in grinding process, which results in high consumption and impacting the environment. Minimum Quantity Lubrication (MQL) is alternative source for the Conventional grinding process. In this study, Water based nanofluid applied to grinding process with MQL approach for its excellent convection heat transfer and thermal conductivity properties. The grinding characteristics of hardened steel can be investigated. Water based nanofluid MQL grinding can significantly redu ce the grinding temperature, decrease the grinding forces and gives better surface finish tha n conventional grinding process. The process parameters considered are Nanofluid Type, Nanofluid Concentration, Depth of Cut & feed rate and multiple responses are surface roughness, Temperature, Grinding Wheel Wear & Material Removal Rate. CuO 2% concentration has the better surface r oughness