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Analysis of Machining Parameters in Turning Operation on Duplex 2205 by using RSM for Vehicle Structure


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1 Dept. of Mech. Engg., K. Ramakrishnan College of Tech. Samayapuram, Trichy, Tamil Nadu, India
 

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Turning is the machining process carried out to make cylindrical parts. Since the process is economical and the flexibility of turning operation is high, the process has become highly versatile among the industrial scenario. The design of experiments concept along with response surface methodology is used to analyze the machining parameters such as spindle seed, feed rate and depth of cut, of the turning operation. Three levels of spindle speed, feed rate and depth of cut are used as input parameters and their corresponding responses such as material removal rate (M.R.R), surface roughness, feed force, thrust force and cutting force are considered as the output parameters. The main aim of this experimentation process is to identify the optimal process parameters to get high M R R and low surface roughness. During high spindle speed, the M R R is high and vice versa. Surface roughness is high when its corresponding spindle speed and depth of cut is high. A high spindle speed, the chip formation is continuous whereas in medium speed, discontinuous chip is formed. M.R.R is high when spindle speed, depth of cut and feed rate are high.

Keywords

Turning, Tungsten Carbide, Response Surface Methodology, ANOVA Method.
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  • L.B. Abhang and M. Hameedullah. 2012. Optimization of machining parameters in steel turning operation by Taguchi method, Int. J. Engg. and Innovative Tech., 38, 40-48. https://doi.org/10.1016/j.proeng.2012.06.007.

  • J. Ashvin and J.I. Navanathi. 2013. Optimization of machining parameters of turning operations based on response surface methodology, Int. J. Industrial Engg. Computations, 46, 521-1529.

  • H. Singh, S. Singh, H. Singh and S.K. Sharma. 2014. Optimization of machining parameters of Turning of EN 16 Steel, Int. J. Current Engg. and Tech;4(6), 4130-4133.

  • J. Varma, L. Bajpai and P. Agarwal. 2012. Turning parameter optimization for surface roughness of A242 Type-1 alloy steel by Taguchi method, Int. J. Advanced Engg. and Tech;3(1);255-261.

  • J. Taneja, M. Bector and R. Kumar. 2012. Application to Taguchi method for optimizing turning process by the effects of machining parameters, Int. J. Engg. and Advanced Tech;2(1);263-275.

  • D. Lazarevic, M. Madiac, P. Jankovic and D. Lazarevic. 2012. Cutting parameters optimization for surface roughness in turning operation of polyethylene (PE) using Taguchi method, Tribology in Industry, 34(2), 294-297.

  • K.M. Lavanya, R.K. Suresh, A.S.K. Priya and G. Krishnaiah. 2013. Optimization of process parameters in turning operation of AISI-1016 alloy steels with CBN using artificial neural networks, Int. J. Engg. Trends and Tech., 5(6), 294-297.

  • C.J. Rao, D.N. Rao and P. Srihari. 2013. Influence of cutting parameters on cutting force and surface finish in turning operation, Proc. Int. Conf. Design and Manuf., 65, 1405-1415. https://doi.org/10.1016/j.proeng.2013.09.222.

  • R. Geo and J. SherilD’cotha. 2014. Effect of turning parameters on power consumption in EN 24 alloy steel using different cutting tools, Int. J. Engg Research and general service, 2(6), 691-702.

  • P. Sahoo. 2011. Optimization of turning parameters for surface roughness using RSM and GA, Advances in Production Engg and Management, 3(2), 197-208.

  • A.V.N.L. Sharma, K. Venkatasubbaiah and P.S.N. Raju. 2013. Parametric analysis and multi objective optimization of cutting parameters in turning operation of EN353 – with CVD cutting tool using Taguchi method, Int. J. Engg. and Innovative Tech., 2(9), 283-289.

  • T. DinQuazi and P.G. Moore. 2012. Optimization of turning parameters such as speed rate, feed rate, depth of cut for surface roughness by Taguchi method, Asian J. Engg. and Tech. innovations, 2, 05-24.

  • T. Sivaprakasam, S. Satarudin and S. Hasan. 2007. Analysis of surface roughness by turning process using Taguchi method, J. Achievements in Materials and Manuf. Engg., 20(12), 503-506.

  • S. Dinesh, M. Prabhakaran, A.G. Antony, K. Rajaguru and V. Vijayan. 2017. Investigation and optimization of machining parameters in processing AISI 4340 alloy steel with electric discharge machining, Int. J. Pure and Applied Mathematics, 117(16), 385-391.

  • S. Dinesh and A.G. Antony, K. Rajaguru and V. Vijayan. 2017. Experimental investigation and optimization of material removal rate and surface roughness in centerless grinding of magnesium alloy using grey relational analysis, Mechanics and Mech. Engg., 21(1), 17-28.

  • B.R. Krishnan, V. Vijayan and G. Senthilkumar. 2018. Performance analysis of surface roughness modelling using soft computing approaches, Appl. Math. Inf. Sci. 12(6), 1209-1217. http://doi10.18576/amis/120616.


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  • Analysis of Machining Parameters in Turning Operation on Duplex 2205 by using RSM for Vehicle Structure

Abstract Views: 519  |  PDF Views: 151

Authors

V. Vijayan
Dept. of Mech. Engg., K. Ramakrishnan College of Tech. Samayapuram, Trichy, Tamil Nadu, India
B. Sureshkumar
Dept. of Mech. Engg., K. Ramakrishnan College of Tech. Samayapuram, Trichy, Tamil Nadu, India
G. Sathishkumar
Dept. of Mech. Engg., K. Ramakrishnan College of Tech. Samayapuram, Trichy, Tamil Nadu, India
R. Yokeshwaran
Dept. of Mech. Engg., K. Ramakrishnan College of Tech. Samayapuram, Trichy, Tamil Nadu, India

Abstract


Turning is the machining process carried out to make cylindrical parts. Since the process is economical and the flexibility of turning operation is high, the process has become highly versatile among the industrial scenario. The design of experiments concept along with response surface methodology is used to analyze the machining parameters such as spindle seed, feed rate and depth of cut, of the turning operation. Three levels of spindle speed, feed rate and depth of cut are used as input parameters and their corresponding responses such as material removal rate (M.R.R), surface roughness, feed force, thrust force and cutting force are considered as the output parameters. The main aim of this experimentation process is to identify the optimal process parameters to get high M R R and low surface roughness. During high spindle speed, the M R R is high and vice versa. Surface roughness is high when its corresponding spindle speed and depth of cut is high. A high spindle speed, the chip formation is continuous whereas in medium speed, discontinuous chip is formed. M.R.R is high when spindle speed, depth of cut and feed rate are high.

Keywords


Turning, Tungsten Carbide, Response Surface Methodology, ANOVA Method.

References





DOI: https://doi.org/10.4273/ijvss.11.1.20