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. exp...

This article discusses the optimization of sinker electrical discharge machining (sinker EDM) processes using SPHC material that has been hardened. The EDM method is widely employed, for example, in production moulds, dies, and automotive aeronautical components. There neither contact nor a cutting force between electrode work EDM. disadvantage its low removal rate. aims to optimize rate (MRR) ...

This paper develops analytically a statistical model for predicting the material removal in mechanical polishing of material surfaces (MS). The model was based on the statistical theory and the abrasive–MS contact mechanisms. The pad-MS and pad-abrasive-MS interactions in polishing were characterised by contact mechanics. Two types of active abrasive particles in the polishing system were consi...

This study investigated the multi-optimization of turning process on AISI1045 steel material with CNMG cutting tool for an optimal parametric combination to yield minimum surfaces roughness maximum MRR using a Grey relational analysis (GRA) and Taguchi method. In view fact, that traditional method can’t solve multi-objective optimization problem: To overcome this limitations relation theory has...

This paper presents a workpiece discretization method to apply existing cutting force models predict the forces generated during low material removal rate robotic machining operations of features with arbitrary geometry. Two along straight edge which are modelled using this feature shown, chamfer pass on sharp corner and trapezoidal cross section. The measured high-resolution laser profile scan...