Analysis of machining performance in turning with trihybrid nanofluids and minimum quantity lubrication

Abstract

Abstract Mono-type and dihybrid nanoparticle-enriched cutting fluids in machining processes are gaining popularity because of their outstanding benefits such as enhanced tool life and surface finish. In this work, a trihybrid nanocutting fluid was developed by mixing MWCNT Al2O3 graphene nanoparticles with different weight concentrations. The prepared tri-hybrid nanofluids were tested during the machining of SS304 steel. Coated tungsten carbide and PVD TiAlN carbide tools are used for the machining. Analysis of variance (ANOVA) and response surface methodology (RSM) were used to analysed the obtained data. ANOVA revealed that the interaction of cutting speed and feed had shown a good impact on surface roughness. The combinations of minimum quantity lubrication (MQL) and tri-hybrid nanofluid characteristics increase surface quality by 16% and the cutting temperature by 76%, respectively, which offers future applications in the machining industry. The correlations are verified using a conformance test and have acceptable variances of 3.11% and 1.13% with the ANN approach regression analysis.