• Kawthar Y. AL-Dulaimi, Msc. Dept. of Metallurgical Eng.\ College of Material's Eng\ University of Babylon\Hilla\IRAQ
  • Haydar A. H. Al-Ethari, Prof.Dr. Dept. of Metallurgical Eng.\ College of Material's Eng University of Babylon\Hilla\IRAQ
  • Bogdan Warcholinski, Prof. Koszalin University of Technology\ Poland
Keywords: Tool life, Machining parameters, Taguchi method, Flank wear, Optimization, Modeling


The present work studied the performance of a carbide tool with a chemical composition of (65% W, 14 % Ti, 9 % Co and 12 % C). Turning tests were conducted on a workpiece of mild steel (AISI 1020) using four spindle speeds (80, 315, 500 and 800 rpm), two feed rates (0.2 and 0.5 mm/rev) and two depth of cut (0.5 and 0.7 mm). Taguchi method is a statistical approach to optimize the process parameters and improve the quality of components that are manufactured. The objective of this study is using Taguchi method to optimize the machining conditions of a turning operation such as spindle speed; feed rate and depth of cut. Orthogonal array, signal-to-noise ratio, and analysis of variance were employed using Mtb14 software to study the performance characteristics on turning operation represented by the tool life. Accordingly, a suitable mixed orthogonal array L16 (3×4) was selected. The tool life was measured basing on a maximum flank wear width of 0.3 mm.Optimum parameter values were obtained and confirmation experiments were carried out. The analysis results showed that the parameter design of the Taguchi method provides a simple, systematic, and efficient methodology for optimizing the process parameters. Only 6.4 % error was recorded. The regression analysis was applied using Datafit ver.9 software. The results of the analysis showed that the non-linear quadratic polynomial appears to be more suitable to represent the relation of the spindle speed, feed rate and depth of cut with the tool's wear life.


[1] M. Narasimha, D. Tewodros, R. Rejikumar, Improving Wear Resistance of Cutting Tool By Coating, IOSR Journal Of Engineering (IOSRJEN) , Vol. 04, Issue 05 (May. 2014), PP (06-14).
[2] B. Fnides, S. Boutabba, M. Fnides, H. Aouici, M. A. Yallese, Cutting Tools Flank Wear and Productivity Investigation In Straight Turning of X38crmov5-1 (50 HRc), International Journal of Applied Engineering and Technology, 2013, Vol. 3 (1) January-March, PP (1-10).
[3] Bin Li, A Review Of Tool Wear Estimation Using Theoretical Analysis and Numerical Simulation Technologies, Int. Journal of Refractory Metals and Hard Materials 35, 2012, PP (143–151).
[4] Abdul Kareem Jaleel, Kareem Abdulla Hadi, Coated Carbide Cutting Tools Performance In High Speed Machining Processes, The Iraqi Journal For Mechanical and Materials Engineering, Vol.12, No.1, 2012.
[5] Bala Murugan Gopalsamy, BiswanathMondal and Sukamal Ghosh, Taguchi Method and ANOVA: An Approach For Process Parameter Optimization of Hard Machining While Machining Hardened Steel, Journal of Scientific and Industrial Research Vol. 68, August 2009, PP(686-695).
[6] S. R. Das1, R.P. Nayak, D. Dhupal, A. Kumar, Surface Roughness, Machining Force and Flank Wear in Turning of Hardened AISI 4340 Steel With Coated Carbide Insert: Cutting Parameters Effects, International Journal of Automotive Engineering Vol. 4, Number 3, Sept 2014.
[7] Rajesh Nayak, Raviraj Shetty, Sawan Shetty, Investigation of Cutting Force In Elastomer Machining Using Taguchi’s Design of Experiments”, International Journal of Advanced Technology & Engineering Research (IJATER), ,Volume 4, Issue 4, July 2014.
[8] Roy Ranjit K, Design of Experiments Using The Taguchi Approach : 16 Steps To Product and Process Improvement, John Wiley & Sons, Inc. (US),2001.
[9] Haydar A. H. Al-Ethari, Kadhim Finteel Alsultani, Nesreen Dakhel F., Optimization of Chemical Machining Conditions of Cold Worked Stainless Steel 420 Using Taguchi Method, International Journal Of Mechanical Engineering and Technology (IJMET), Volume 5, Issue 3, March (2014), PP (57-65).
[10] Genichi Taguchi, Subir Chowdhury, Yuin Wu,Taguchi’s Quality Engineering Handbook, 2005 John Wiley & Sons, Inc., Hoboken, New Jersey.