Optimization of Cutting Parameters during Turning of AISI-310 Using Response Surface Methodology

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Design of Experiments is employed to study the stimulus of cutting parameters such as feed rate, spindle speed, depth of cut in the turning operation of AISI-310 and optimizing the value of those parameters for getting the higher material removal rate (MRR) and minimal surface roughness. A prediction model has been developed by using the above influencing parameters. For the purpose of parameters optimization we investigate the parameters using Response Surface Methodology (RSM). It is shown that feed rate is the main parameter in influencing the surface roughness, which is being followed by spindle speed and depth of cut. It is found that surface roughness and feed rate were directly proportional to each other for some extent. The confirmation tests were carried out to with the optimum set of parameters and are verified with test results. The comparison of above two results were found to be good with maximum error within 5% on comparing it with the predicted model.

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45-51

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October 2016

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© 2017 Trans Tech Publications Ltd. All Rights Reserved

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[1] I.A. Choudhury, M.A. El- Baradie, Tool life prediction model by design of experiments for turning high strength steel, J. Mater. Process Technol. 77 (1998) 319–326.

DOI: 10.1016/s0924-0136(97)00435-4

Google Scholar

[2] E.D. Kirby, Z. Zhang, J.C. Chen, J. Chen, Optimizing surface finish in a turning operation using the Taguchi parameter design method, Int. J. Adv. Manuf. Technol. 30 (2006) 021–1029. doi 10. 1007/s00170-005-0156-0.

DOI: 10.1007/s00170-005-0156-0

Google Scholar

[3] W.H. Yang, Y.S. Tarng, Design optimization of cutting parameters for turning operations based on Taguchi method, J. Mater. Process. Technol. 84 (1998) 112–129.

DOI: 10.1016/s0924-0136(98)00079-x

Google Scholar

[4] D. Gillibrand, M. Sarwar, C.T. Pierce, The economic benefit of finish turning with coated carbide, Surf. Coat. Technol. 86–87 (1996) 809–813.

DOI: 10.1016/s0257-8972(96)03059-9

Google Scholar

[5] Y. Kazancoglu, U. Esme, M. Bayramo, O. Guven, and S. Ozgun, Multi objective optimization of the cutting forces in turning operations using the grey based Taguchi method, Mater. Technol., vol. 45, p.105–110, (2011).

Google Scholar

[6] D.C. Montgomery, Design and Analysis of Experiments, 4th ed., Wiley, New York, (1997).

Google Scholar

[7] P.M. Escalona, Z. Cassier, Influence of critical cutting speed on the surface finish of turned steel, Wear 218 (1998) 103–109.

DOI: 10.1016/s0043-1648(98)00156-2

Google Scholar

[8] M.Y. Noordin, V.C. Venkatesh, S. Sharif, S. Elting, A. Abdullah, Application of response surface methodology in describing the performance of coated carbide tools when turning AISI 1045 steel, J. Mater. Process. Technol. 145 (2004) 46–58.

DOI: 10.1016/s0924-0136(03)00861-6

Google Scholar

[9] R. Ravi Kumar, M. Mohamed Abdul Hafeez, K. Velmanirajan, K. Nantha Kumar, Investigation of machining parameters in CNC turning of EN3 low carbon steel using genetic algorithm and response surface methodology, Applied Mechanics and Materials, Vol. 592-594 (2014).

DOI: 10.4028/www.scientific.net/amm.592-594.883

Google Scholar