Abstract
Addition of metallic or non-metallic nanoparticles in a base fluid is called nanofluid (NF). In the present paper, nanofluid samples with superior thermos-physical and tribological properties are prepared by mixing of graphene nanoplatelets (GnP) in a water-based emulsion. Response surface methodology (RSM) is used to design the experiments and orthogonal array L27 is selected for experimentation. Furthermore, the machining performance of nanofluids is examined on turning operation of AISI 304 using minimum quantity lubrication (MQL) technique. The analysis of variance (ANOVA) is used to find the contribution of process parameters on the response such as surface roughness and cutting temperature. Results show that higher concentration of graphene nanoparticles plays a significant role in reducing the surface roughness and cutting temperature at higher cutting speed and feed rate, which enhance the performance of machining process
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