Optimization of graphene based minimum quantity lubrication of Inconel718 turning with multiple machining performances

Abstract

Inconel 718 is a ‘hard to machine’ material due to its toughness and work hardenability. Researchers are working on possible methods to improve its machinability. In the initial part of the work, different concentrations of graphene based cutting fluids are used for machining Inconel718 and best concentration of graphene in cutting fluid is determined based on tool wear. In the second part of the work, turning parameters for machining Inconel 718 are optimized while machining using MQL application of best concentration of graphene based cutting fluid. Single response optimization is performed to identify input parameters which optimize resultant cutting forces, surface roughness, cutting temperature, tool wear and metal removal rate individually. Mutliresponse optimization is also performed giving equal importance to multiple machining performances in one case and by giving unequal importance in other case.