Parametric Optimization for Cutting Forces and Material Removal Rate in the Turning of AISI 5140

The present paper deals with the optimization of three components cutting forces and Material Removal Rate (MRR) in turning AISI 5140 steel. Harmonic Artificial Bee Colony Algorithm (H-ABC), which is an improved nature-inspired method, was compared (HBA) popular methods such as Taguchi’s S/N ratio Response Surface Methodology (RSM) order to achieve optimum parameters machining applications. experiments were performed under dry conditions using speeds, feed rates, two depths cuts. Quadratic regression equations identified objective function for HBA represent relationship between responses, i.e., MRR. According results, RSM (72.1%) H-ABC (64%) algorithms provide better composite desirability other techniques, namely Taguchi (43.4%) (47.2%). While found by algorithm are when considering forces, has a higher success rate It worth remarking that provides effective solution comparison frequently used methods, promising new-generation materials industry. There contradictory situation maximizing MRR minimizing power simultaneously, because affecting have reverse effect on these response parameters. Comparing different types perspective selection parameter design industrial applications processes. This study stands first representing comparative approach