Optimization of Cutting Parameters using the RSMDesirability Approach in the MQL-Assisted Turning of AISI 4130

In this study, the main task is to identify the best cutting parameters to improve the machining performance during MQL-turning with various cutting fluids like coconut oil, ground nut oil, sunflower oil, soyabean oil, and blassocut oil. Cutting temperature and surface roughness were used as performance metrics, with the goal of minimizing these responses. To construct an experimental plan for turning AISI4130 with uncoated brazed carbide, full factorial design for three levels and three factors (33) design of experiments was used. The optimalcutting parameter was identified using the response surface approach. Aiming to discover the optimum possible cutting settings, the desirability function method was utilized. It was discovered that the best cutting speed, depth of cut, and feed rate for minimizing the temperature and surface roughness are 72.38 m/min, 0.5 mm, and 0.35 mm/rev respectively. According to the ANOVA findings, the feed and depth of cut have a substantial impact on the tool temperature for MQL-soyabean oil.