ANFIS OPTIMIZATION OF CUTTING PARAMETERS FOR MRR IN TURNING PROCESSES

Shukry H. Aghdeab; Adil Shbeeb Jabber; Mohammed Sattar Jabbar; Baqer Ayad Ahmed

Shukry H. Aghdeab Production engineering and metallurgy, University of Technology, Baghdad / Iraq.
Adil Shbeeb Jabber Production engineering and metallurgy, University of Technology, Baghdad / Iraq.
Mohammed Sattar Jabbar Material Department, College of Engineering, University of Kufa, Najaf / Iraq.
Baqer Ayad Ahmed Production engineering and metallurgy, University of Technology, Baghdad / Iraq.

Keywords: CNC turning process, Material removal rate, ANFIS

Abstract

The objective of this research is to obtain an optimal setting of CNC turning parameters [cutting speed (165, 200 and 250 m/min), feed rate (0.05, 0.06 and 0.07 mm/rev) and depth of cut (0.5, 0.75 and 1 mm)] which result in an optimal value of material removal rate (MRR). It’s necessary to find a suitable optimization process to obtained optimum values of cutting parameters for maximum material removal rate. In machining process was carried out on aluminum ENAC-43400 alloy in a CNC turning machine by using a carbide cutting tool. The model for the material removal rate (MRR), as a function of cutting parameters, is obtained using Adaptive Neuro Fuzzy Inference System (ANFIS) in MATLAB 7.2 Software for optimization of MRR in CNC turning.
The results obtained, material removal rate (MRR) are about (4125-17500 mm³/min), and max. material removal rate obtained (17500 mm³/min) at condition higher cutting speed (250 m/min), higher feed rate (0.07 mm/rev) and higher depth of cut (1 mm). The ANFIS modeling technique can be effectively used for the optimization of material removal rate at the error of training data 2.255%.