Optimization of Surface Roughness in Wet Turning Operation of High Carbon High Chromium Steel


(*) Corresponding author


Authors' affiliations


DOI's assignment:
the author of the article can submit here a request for assignment of a DOI number to this resource!
Cost of the service: euros 10,00 (for a DOI)

Abstract


In order to control the required surface quality, generally it is vital to have the choice of optimized cutting factors in various industrial machining operations. The trait of surface finish is a vital concern for most of the turned parts in an industry. The present research work is focused on the optimization of cutting process parameters (depth of cut, feed rate, spindle speed) in wet turning of High Carbon High Chromium Steel (2.2% C) having hardness 50+2 HRC. Therefore turning operations were performed on High Carbon High Chromium Steel by carbide P-30 cutting tool in wet condition and the combination of the optimal levels of the parameters was obtained. Analysis of Variance (ANOVA) and SN (Signal-to-Noise) ratio were implemented to analyze the performance characteristics in wet turning operation. The results of the analysis show that none of the factors was found to be significant. Taguchi method showed that spindle speed contributed the highest effect on the surface roughness followed by depth of cut and feed rate while turning High Carbon High Chromium Steel by carbide cutting tool in wet turning. The useful results obtained by this research can be the eye openers for other similar type of future research works.
Copyright © 2013 Praise Worthy Prize - All rights reserved.

Keywords


High Carbon High Chromium Steel; Surface Roughness; Taguchi Method; Wet Turning

Full Text:

PDF


References


B.S. Raghuwanshi, A Course in Workshop Technology Vol.II (Machine Tools), (Delhi, Dhanpat Rai & Company Pvt. Ltd., 2009).

V. Diwakar Reddy, G. Krishnaiah et al, ANN Based Prediction of Surface Roughness in Turning, International Conference on Trends in Mechanical and Industrial Engineering (ICTMIE'2011) Bangkok, 2011.

S.S. 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.

Philip J. Ross, Taguchi Techniques for Quality Engineering, New Delhi, Tata McGraw-Hill Publishing Company Ltd., 2005.

Adeel H. Suhail et al, Optimization of Cutting Parameters Based on Surface Roughness and Assistance of Workpiece Surface Temperature in Turning Process, American J. of Engineering and Applied Sciences 3 (1): 102-108, 2010.

C.A.Van Luttervelt et al, Present situation and Future Trends in Modelling of Machining Operations, CIRP Ann., 1998

Daniel Kirby, Optimizing the Turning Process toward an Ideal Surface Roughness Target, 2010.

D. Philip Selvaraj et al, Optimization of Surface Roughness of AISI 304 Austenitic Stainless Steel in Dry Turning Operation using Taguchi Design method, Journal of Engineering Science and Technology,Vol. 5, no. 3 293 – 301, © school of engineering, Taylor’s university college, 2010.

E. Daniel Kirby, Optimizing Surface Finish in a Turning Operation using the Taguchi Parameter Design Method, Int J Adv Manuf Technol: 1021–1029, 2006.

Guey-Jiuh Tzou and Chen Ding-Yeng, Application of Taguchi method in the Optimization of Cutting Parameters for Turning Operations, Department of Mechanical Engineering, Lunghwa University of Science and Technology, Taiwan, (R.O.C.), 2006.

Hari Singh, Optimizing Tool Life of Carbide Inserts for Turned Parts using Taguchi’s Design of Experiments Approach, Proceedings of the International Multi Conference of Engineers and Computer Scientists Vol II IMECS 2008, 19-21 March, Hong Kong, 2008.

M. Hasegawa, et al, Surface Roughness Model for Turning, Tribology International, December 285-289, 1976.

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 © EuroJournals Publishing, Inc., 2009.

Madhav. S. Phadke, Quality Engineering using Robust Design, (New Jersey, Prentice Hall, Eaglewood Cliffs, , 1989).

M. Aruna, Wear Analysis of Ceramic Cutting Tools in Finish Turning of Inconel 718. International Journal of Engineering Science and Technology Vol. 2(9), 2010, 4253-4262., 2010.

I. Puertas Arbizu, and C.J. Luis Prez, Surface Roughness Prediction by Factorial Design of Experiments in Turning Processes, Journal of Materials Processing Technology, 143- 144 390-396, 2003.

K. Palanikumar, et al, Assessment of Factors Influencing Surface Roughness on the Machining of Glass –Reinforced Polymer Composites, Journal of Materials and Design, 2006.

R.M. Sundaram, and B.K. Lambert, Mathematical Models to Predict Surface Finish in Fine Turning of Steel, Part II, International Journal of Production Research, 1981.

S. Thamizhmanii, et al, Analyses of Roughness, Forces and Wear in Turning Gray Cast Iron, Journal of achievement in Materials and Manufacturing Engineering, 17, 2006.

Bouslama-Bouabdallah, S., Tagina, M., A fault detection and isolation fuzzy system optimized by genetic algorithms and simulated annealing, (2010) International Review on Modelling and Simulations (IREMOS), 3 (2), pp. 212-219.

S. Thamizhmanii, et al. Analyses of Surface roughness by Turning Process using Taguchi method, Journal of Achievements in Materials and Manufacturing Engineering, 2006.

D. Isèbe, P. Azérad, F. Bouchette, B. Mohammadi, Design of Passive Defense Structures in Coastal Engineering, (2007) International Review of Mechanical Engineering (IREME), 1 (1), pp. 41 - 48.


Refbacks

  • There are currently no refbacks.



Please send any question about this web site to info@praiseworthyprize.com
Copyright © 2005-2024 Praise Worthy Prize