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

[1]  H. K. Davea,et al.  Effect of machining conditions on MRR and surface roughness during CNC Turning of different Materials Using TiN Coated Cutting Tools – A Taguchi approach , 2012 .

[2]  J. Ferreira,et al.  A multivariate hybrid approach applied to AISI 52100 hardened steel turning optimization , 2007 .

[3]  Ramón Quiza Sardiñas,et al.  Genetic algorithm-based multi-objective optimization of cutting parameters in turning processes , 2006, Eng. Appl. Artif. Intell..

[4]  Hari Singh,et al.  Taguchi-fuzzy multi output optimization (MOO) in high speed CNC turning of AISI P-20 tool steel , 2011, Expert Syst. Appl..

[5]  H. Somashekara.  OPTIMIZING SURFACE ROUGHNESS IN TURNING OPERATION USING TAGUCHI TECHNIQUE AND ANOVA , 2012 .

[6]  Ali R. Yildiz,et al.  Optimization of cutting parameters in multi-pass turning using artificial bee colony-based approach , 2013, Inf. Sci..

[7]  Basim A. Khidhir,et al.  Analyzing the effect of cutting parameters on surface roughness and tool wear when machining nickel based hastelloy – 276 , 2011 .

[8]  Ali R. Yildiz,et al.  A comparative study of population-based optimization algorithms for turning operations , 2012, Inf. Sci..

[9]  Masoud Azadi Moghaddam,et al.  Multi Objective Optimization of Turning Process Using Grey Relational Analysis and Simulated Annealing Algorithm , 2011 .

[10]  Mehmet Çunkas,et al.  Modeling and prediction of surface roughness in turning operations using artificial neural network and multiple regression method , 2011, Expert Syst. Appl..

[11]  Ali R. Yildiz,et al.  A new hybrid artificial bee colony algorithm for robust optimal design and manufacturing , 2013, Appl. Soft Comput..

[12]  Ali R. Yildiz,et al.  Hybrid Taguchi-differential evolution algorithm for optimization of multi-pass turning operations , 2013, Appl. Soft Comput..

[13]  Ali R. Yildiz,et al.  An effective hybrid immune-hill climbing optimization approach for solving design and manufacturing optimization problems in industry , 2009 .

[14]  Ali R. Yildiz,et al.  A new hybrid differential evolution algorithm for the selection of optimal machining parameters in milling operations , 2013, Appl. Soft Comput..

[15]  Ali R. Yildiz,et al.  A novel hybrid immune algorithm for global optimization in design and manufacturing , 2009 .

[16]  N. Tosun,et al.  Optimisation for hot turning operations with multiple performance characteristics , 2004 .

[17]  Suleyman Neseli,et al.  Optimization of tool geometry parameters for turning operations based on the response surface methodology , 2011 .

[18]  İlhan Asiltürk,et al.  Multi response optimisation of CNC turning parameters via Taguchi method-based response surface analysis , 2012 .

[19]  Ali Riza Yildiz,et al.  A new design optimization framework based on immune algorithm and Taguchi's method , 2009, Comput. Ind..

[20]  Sivarao,et al.  A New Approach of Adaptive Network-Based Fuzzy Inference System Modeling in Laser Processing-A Graphical User Interface (GUI) Based , 2009 .

[21]  Napsiah Ismail,et al.  Optimization of cutting parameters based on surface roughness and assistance of workpiece surface temperature in turning process , 2010 .