Process Design for Optimal Minimization of Resultant Cutting Force during the Machining of Ti-6Al-4V: Response Surface Method and Desirability Function Analysis

Abstract Cutting Forces are very essential during machining process as they determined the surface finish, power consumption, machining precision and working temperature of the process. Therefore, it is paramount to have a thorough understanding of how cutting parameters influence the resultant cutting force during machining operations. In the present study, the optimal RCF required to machine Ti-6Al-4V alloy using carbide insert on a DMC 635V DMG CNC vertical milling machine attached with a Kisler dynamometer has been investigated; the influence of four machining parameters namely cutting speed, feed rate, feed/tooth and depth of cut was considered. Data sets generated from the dynamometer were used as building blocks for the RSM design matrix which was developed and analyzed with the aid of Design Expert Software. Design data for optimum cutting force during milling process were generated. The validity and reliability of the developed models were established with ANOVA and experimental results. It was found that a significant second-order model best suited the prediction of RCF at 95% confidence level.