Alagarsamy Alagarsamy


Generally machining operations are used to produce a desired shape and size by removing excess stock from a blank in the form of chips. New surfaces are generated through a process of plastic deformation and crack propagation. The workpiece is subjected to intense mechanical stresses and localized heating by tools having one or more shaped cutting edges. Each cutting edge leaves its own mark on the machined surface. Also the workpiece and tool, together with the machine on which they are mounted, form a vibratory system liable to random, forced are induced vibrations. These vibrations alter the relative distances between the tool and the workpiece and hence damage the surface quality as well as dimension of the component.From the literature survey, it is found that most affecting parameters for surface quality of the components are rack angles, cutting edge angles, relief angles and nose radius. Considering the above, this paper proposes Design of Experiments concepts for analyzing effect of back rack angle, side rack angle, side relief angle and nose radius on surface quality of turned aluminum components in a CNC trainer Lathe. Design of experiments  is a powerful tool that can be used to manipulate multiple input factors to show their effect on a desired output (response). The orthogonal Array a powerful tool of DOE is chosen for analysis


| PDF |


Abouelatta O.B. and Madl .J, “Surface roughness prediction based on cutting parameter and tool vibrations in turning operations” Journal of Materials Processing Technology, Vol. 118, 2001, pp-269-277.

Belavendran .N “Quality by Design” Prentice Hall International, 1st edition, 1995.

C.J.luis Perez, “Surface roughness modeling considering uncertainty in measurements”, International journal of Production Research, Vol.40, 2002, pp-2245-2268.

Frank W. Wilson ASTME “Fundamentals of Tool Design” Prentice Hall of India Pvt.Ltd., 8th edition,1979.

Hari Singh and Pradeep Kumar, “ Optimizing feed force for turned parts through the Taguchi technique” Sadhana, Vol 31, 2006, pp-671-681.

Machining Data Hand book Second Edition -1972

Mahapatra et al.,“Parametric analysis and optimization of cutting parameters for turning operations based on Taguchi Method” Proceedings of the International Conference on Global Manufacturing and Innovation, July 27-29, 2006

M.Davami and M.Zadshakoyan “Investigation of tool temperature and surface quality in hot machinig of Hard-to-cut materials” World Academy of Science, Engineering and Technology , volume 46, 2008

M.Eric and B.Nedic“Materials Machinability in relation to the cutting temperature”TriboLogy in industry, Volume 24, No. 3&4,,2002.

Safeen Y.Kassab and younis K.Khoshnaw “The effect of cutting tool vibration onsurfaceroughness of workpiece in dry turning operation” Engineering & Technology, volume 25, No. 7, 2007

XL Turn Lathe Manual.

B. Sidda Reddy , J. Suresh Kumar, and K. Vijaya Kumar Reddy “ Prediction of Surface Roughness in Turning Using Adaptive Neuro-Fuzzy Inference System” Jordan Journal of Mechanical and Industrial Engineering, Volume 3, Number 4, ISSN 1995-6665 Pages 252 – 259,December 2009

Salah Gasim Ahmed “Development of a Prediction Model for Surface Roughness in Finish Turning of Aluminium” Volume 52 No.45 , January 2006

W. Grzesik , J. Rech , and T. Wanat “Surface integrity of hardened steelparts in hybrid machining operations” journal of Achievements in Materials and Manufacturing Engineering volume 18, Issue 1-2, September–October 2006

Tugrul Ozel, and Yig it Karpat “Predictive modeling of surface roughness and tool wear in hardturning using regression and neural networks” International Journal of Machine Tools & Manufacture , volume 45, pp 467–479,November 2004

W.S. Lin”The reliability analysis of cutting tools in the HSM processes” International Scientific Journal published monthly by the World Academy of Materials and Manufacturing Engineering,Volume 30,Issue 2 ,Pages 97-100, April 2008

W.S. Lin “The study of high speed fine turning of austenitic stainless steel” Journal of Achievements in Materials and Manufacturing Engineering, Volume 27, Issue 2,April2008

Yusuf sahinand AA.Riza motorcu” Surface roughness prediction model in machining of carbon steelby PVD coated carbon steel” American journal of Applied bsciences, Vol 1(1), pp 12-17,ISSN No:1546-9239 , 2004

Sahoo .P, Barman.T.K and Routara B.C “Taguchi based Fractal dimension modelingn and optimization in CNC turning” Advances in production Engineering & Management 3 (2008) 4, ISSN No 1854-6250, Page 205-217, 2008

Karin Kandananond “Characterization of FDB Sleeve Surface Roughness Using the

Taguchi Approach” European Journal of Scientific Research, ISSN 1450-216X, Vol.33 No.2, pp.330-337,2009

E. Daniel Kirby, Zhe Zhang and Joseph C. Chen “Development of an Accelerometer-Based Surface Roughness Prediction System in Turning Operations Using MultipleRegressionTechniques”Journal of Industrial Technology, Volume 20, Number 4 - September 2004 through December 2004

Hasan G¨O KKAYA and Muammer NALBANT “The Effects of Cutting Tool Coating on the Surface Roughness of AISI 1015 Steel Depending on Cutting Parameters” Turkish J. Engineering Environmental Science.vol 30,pp-307 – 316, 2006

Khalil Aslam Awan and Yasir A. Hadi “ Prediction of Al andCu Surface Roughness

Based Regression Analyses Model” VIMation Journal ,Issue 1, 2008

H. Soleimanimehr, M. J. Nategh , S. Amini “Modeling of Surface Roughness in Vibration

Cutting by Artificial Neural Network” 2009

SThamizhmanii, K. Kamarudin, E. A. Rahim, A. Saparudin, S.Hasan”Optimizing Surface Roughness and Flank Wear on Hard Turning Process Using Taguchi Paramete Design” Proceedings of the World Congress on Engineering, Vol II, ISBN:978-988-98671-2-6 WCE 2007, July 2 - 4, 2007,

About this article





Additional Links

Manuscript Submission


Innovare Journal of Engineering & Technology
Vol 4 Issue 1 2016 ( Jan - March) Page: 6-11

Online ISSN



174 Views | 135 Downloads

Authors & Affiliations

Alagarsamy Alagarsamy


  • There are currently no refbacks.