Performance evaluation of Cu nanofluid in bearing steel MQL based turning operation

Abstract Machining industries are moving towards sustainable production processes. Nanofluid assisted minimum quantity lubrication is the perfect combination in the field of ecological machining process. The objective of current investigation is to evaluate the influence of Cu nanofluid on bearing steel turning operation. L9 orthogonal array employed to perform the experimentation. The output parameters surface roughness and cutting zone temperature were selected. The cutting speed, feed rate and depth of cut are utilized as a machining input parameters. For multi-objective optimization, the grey relational analysis technique was performed to identify the optimum condition. Investigation resulted that Cu nanofluid with minimum quantity lubrication observed as the most significant cooling environment as compared to vegetable cutting fluid. The output parameters surface roughness and cutting zone temperature effectively reduced under Cu nanofluid MQL as compared to vegetable oil centered cutting fluid cooling environment.