Optimisation of turning AISI 1040 steel with extreme pressure additive in vegetable oil based cutting fluids

Abstract

This paper aims to obtain the optimal combination of machining parameters for multiple performance characteristics in the turning operation by implementing desirability function analysis. Experiments were conducted using machining parameters like different proportions (5%, 10%, and 15%) of extreme pressure additive in three different vegetable oil based cutting fluids (sesame, canola, and coconut oils), cutting speed and feed rate for evaluating the cutting force, cutting tool temperature, tool flank wear, and surface roughness. An orthogonal array (L27) was generated using the Taguchi design to carry out the experiments on AISI 1040 steel. Composite desirability was analysed for identifying the optimal levels of machining parameters. Experimental results revealed that cutting fluid had the most significant effect on cutting force, cutting tool temperature, tool flank wear, and surface roughness. Confirmation test was carried out to validate the results. Experimental results have shown that machining performance can be improved through desirability function analysis.