SINGLE POINT CUTTING TOOL NOMENCLATURE ANALYSIS IN THE TURNING PROCESS FOR SURFACE QUALITY
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 Â 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
Abouelatta O.B. and Madl .J, Surface roughness prediction based on cutting parameter and tool vibrations in turning operationsâ€ Journal of Materials Processing Technology, Vol. 118, 2001, pp-269-277.
Belavendran .N Quality by Designâ€ Prentice Hall International, 1st edition, 1995.
C.J.luis Perez, Surface roughness modeling considering uncertainty in measurementsâ€, International journal of Production Research, Vol.40, 2002, pp-2245-2268.
Frank W. Wilson ASTME Fundamentals of Tool Designâ€ Prentice Hall of India Pvt.Ltd., 8th edition,1979.
Hari Singh and Pradeep Kumar, Optimizing feed force for turned parts through the Taguchi techniqueâ€ 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 Methodâ€ 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 materialsâ€ World Academy of Science, Engineering and Technology , volume 46, 2008
M.Eric and B.NedicMaterials Machinability in relation to the cutting temperatureâ€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 operationâ€ 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 Systemâ€ Jordan Journal of Mechanical and Industrial Engineering, Volume 3, Number 4, ISSN 1995-6665 Pages 252 â€“ 259,December 2009
Salah Gasim Ahmed Development of a Prediction Model for Surface Roughness in Finish Turning of Aluminiumâ€ Volume 52 No.45 , January 2006
W. Grzesik , J. Rech , and T. Wanat Surface integrity of hardened steelparts in hybrid machining operationsâ€ journal of Achievements in Materials and Manufacturing Engineering volume 18, Issue 1-2, Septemberâ€“October 2006
Tugrul Ozel, and Yig it Karpat Predictive modeling of surface roughness and tool wear in hardturning using regression and neural networksâ€ International Journal of Machine Tools & Manufacture , volume 45, pp 467â€“479,November 2004
W.S. Linâ€The reliability analysis of cutting tools in the HSM processesâ€ 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 steelâ€ Journal of Achievements in Materials and Manufacturing Engineering, Volume 27, Issue 2,April2008
Yusuf sahinand AA.Riza motorcuâ€ Surface roughness prediction model in machining of carbon steelby PVD coated carbon steelâ€ 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 turningâ€ 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 Approachâ€ 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 MultipleRegressionTechniquesâ€Journal of Industrial Technology, Volume 20, Number 4 - September 2004 through December 2004
Hasan GÂ¨O KKAYA and Muammer NALBANT The Effects of Cutting Tool Coating on the Surface Roughness of AISI 1015 Steel Depending on Cutting Parametersâ€ Turkish J. Engineering Environmental Science.vol 30,pp-307 â€“ 316, 2006
Khalil Aslam Awan and Yasir A. Hadi Prediction of Al andCu Surface Roughness
Based Regression Analyses Modelâ€ VIMation Journal ,Issue 1, 2008
H. Soleimanimehr, M. J. Nategh , S. Amini Modeling of Surface Roughness in Vibration
Cutting by Artificial Neural Networkâ€ 2009
SThamizhmanii, K. Kamarudin, E. A. Rahim, A. Saparudin, S.Hasanâ€Optimizing Surface Roughness and Flank Wear on Hard Turning Process Using Taguchi Paramete Designâ€ Proceedings of the World Congress on Engineering, Vol II, ISBN:978-988-98671-2-6 WCE 2007, July 2 - 4, 2007,