Optimization of CNC turning for aluminum alloy using simulated annealing method

Surface roughness is a main parameter in computer numerical control (cnc) turning technology. the aim of the present paper is to obtain the optimal parameters of turning process (cutting speed,spindle speed,feed rate and depth of cut) which results in an optimal of surface roughness for machining aluminum alloy enac43400 shaft (46×150mm) in a cnc turning machine type starchip 450 by using a carbide cutting tool type dnmg 332; surface roughness was measured using the pocket surf emd-1500 tester. the results obtained show that the surface roughness (ra) was about (1.06-1.41μm). the developed objective model is modeled using the regression method then was optimized by the simulated annealing method in order to determine the best set of turning parameter values. the present work concludes that the simulated annealing method can be used forhigh precision modeling and estimation of turning parameters. © 2015 jordan journal of mechanical and industrial engineering. all rights reserved.