IJBTT

Simultaneous Optimization of Roughness Parameters using TOPSIS

	International Journal of Engineering Trends and Technology (IJETT)
	© 2017 by IJETT Journal
	Volume-49 Number-3
	Year of Publication : 2017
	Authors : Ch. Maheswara Rao, S. Srikanth, R. Vara Prasad, G. Babji
	DOI :  10.14445/22315381/IJETT-V49P223

Citation 

Ch. Maheswara Rao, S. Srikanth, R. Vara Prasad, G. Babji "Simultaneous Optimization of Roughness Parameters using TOPSIS", International Journal of Engineering Trends and Technology (IJETT), V49(3),150-157 July 2017. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group

Abstract
The present work is to explore the effect of EDM process parameters on the surface roughness characteristics Ra, Rq and Rz. For the experimentation, twenty seven alternatives of EDM process parameters, Pulse on time (TON), Pulse off time (TOFF), Wire Tension (WT) and Wire Feed (WF) were considered as per the Taguchi’s standard L27 Orthogonal Array. The Roughness characteristics of Arithmetic average (Ra), Geometric average (or) RMS value (Rq) and Ten point height average (Rz) were considered as the experimental responses. Multi-criterion decision making method, TOPSIS has been employed for the optimization of responses simultaneously. From the TOPSIS and main effect plots for Signal-to-Noise ratios of the relative closeness coefficient (Ci+), the optimal combination of the multi responses was found at twenty second alternative, i.e. Pulse on time (TON): 131?s, Pulse off time (TOFF): 58?s, Wire Tension (WT): 2 Kgf and Wire Feed (WF): 4 m/sec. Analysis of variance (ANOVA) was applied using the MINITAB-16 software to know the influence of EDM process parameters on the relative closeness coefficient (Ci+). From the results of ANOVA, it is clear that, Wire Feed (WF) has high influence (F = 30.38) and Pulse off time (TOFF) has low influence (F = 1.00) in affecting the multi-responses.

 References

[1] M. K. Sorabh and N. Nirmal, “A Literature Review on Optimization of Machining Parameters in Wire EDM”, International Journal of Latest Research in Science and Technology, Vol.2, no. 1, pp.492, 2013.
[2] Ch. Maheswara Rao and K.V. Subbaiah, “Effect and Optimization of EDM Process Parameters on Surface Roughness for EN41 Steel”, International Journal of Hybrid Information Technology, Vol. 9(5), pp. 343-358, 2016.
[3] B. Kuriachen, J. Kunju Paul and J. Mathew, “Modelling of Wire Electrical Discharge Machining Parameters Using Titanium Alloy (Ti-6Al-4v)”, International Journal of Emerging Technology and Advanced Engineering, vol.2, no.4, pp.377-381, 2012.
[4] S. Thamizhmanii, S. Saparudin and S. Hasan, “Analysis of Surface Roughness by Turning Process Using Taguchi Method”, Journal of Achievements in Materials and Manufacturing, vol. 20, no.1-2, pp. 503-506, 2007.
[5] Ch. Maheswara Rao, K.V. Subbaiah, K. Sowjanya and K. Anusha, “Influence of Speed, Feed and Depth of Cut on Multiple Responses in CNC Turning”, International Journal of Advanced Science and Technology, Vol. 92, pp. 59-76, 2016.
[6] P.S. Rao, K. Ramji and B. Satyanarayana, “Effect of WEDM Conditions on Surface Roughness: A Parametric Optimisation Using Taguchi Method”, International Journal of Advanced Engineering Sciences and Technologies, vol. 6, pp. 041 – 048, 2011.
[7] Ch. Maheswara Rao and K. Venkatasubbaiah, “Optimization of Surface Roughness in CNC Turning Using Taguchi Method and ANOVA”, International Journal of Advanced Science and Technology, Vol.93, pp.1-14, 2016.
[8] F. Han and J. Jiang, “Influence of Machining Parameters on Surface Roughness in Finish Cut of WEDM”, The International Journal of Advanced Manufacturing Technology, vol. 34, Issue 5-6, pp. 538-546, 2007.
[9] M.A. Abo-Sinna and A.H. Amer, “Extensions of TOPSIS for Multi-Objective Large Scale Nonlinear Programming Problems”, Applied Mathematics and Computation 162, pp.243-256, 2005.
[10] G.R. Jahanshahloo, F. Hosseinzadeh Lotfi and M.Lzadikhah, “An Algorithmic Method to Extend TOPSIS for Decision Making Problems with Interval Data”, Applied Mathematics and Computations, 2005.
[11] M. Behzadian, S. Otaghsara, M. Yazdani and J. Ignatius, “A State-of-the-Art Survey of TOPSIS Applications”, Expert Systems with Applications, 39(17), pp. 13051-13069, 2012.
[12] Ch. Maheswara Rao and K.V. Subbaiah, “Application of WSM, WPM and TOPSIS Methods for the Optimization of Multiple Responses”, International Journal of Hybrid Information Technology, vol. 9(10), pp. 59-72, 2016.
[13] Ch. Maheswara Rao and K.V. Subbaiah, “Application of MCDM Approach-TOPSIS for the Multi-Objective Optimization Problem”, International Journal of Grid and Distributed Computing, Vol. 9(10), pp. 17-32, 2016.
[14] Y.Ic, “An Experimental Design Approach Using TOPSIS Method for the Selection of Computer-Integrated Manufacturing Technologies”, Robotics and Computer-Integrated Manufacturing, vol.28(2), pp.245-256, 2012.
[15] S.H. Zanakis, A. Solomon, N. Wishart and S. Dublish, “Multi-Attribute Decision Making: A Simulation Comparison of Select Methods”, European Journal of Operational Research, vol. 107, no.3, pp. 507-529, 1998. [16] K.L. Wen, T.C. Chang and M.L. You, “The Grey Entropy and its Application in Weighting Analysis”, IEEE International Conference on Systems, Man and Cybernetics, vol. 2, pp. 1842-1844, 1998.
[17] S.Ding and Z. Shi, “Studies on Incident Pattern Recognition Based on Information Entropy”, Journal of Information Science, vol. 31, no. 6, 2005.
[18] M. Durairaj, D. Sudharsun and N. Swamynathan, “Surface Roughness Optimization in Wire Cut EDM Taguchi Method”, Proceedings of the National Conference on Fascinating Advancements in Mechanical Engineering, pp.176, 2013.
[19] S.S. Chaudhari, S.S. Khedka and N.B. Borkar, “Optimization of Process Parameters Using Taguchi Method Approach with Minimum Quantity Lubrication for Turning”, International Journal of Engineering Research and Applications, vol-1, no. 4, pp.1268, 2011.
[20] M. Nalbant, H. Gokkayya and G. Sur, “Application of Taguchi Method in the Optimization of Cutting for Surface Roughness in Turning”, Elsevier Journal, Measurement, vol. 44, pp. 1379-1385, 2007.
[21] A. Vishal Parashar, J.L Rehman, Bhagoria and Y.M Puri, “Investigation and Optimization of Surface for Wire Cut Electro Discharge Machining of SS 304 Using Taguchi Method”, International Journal of Engineering, pp. 257-267, 2009.
[22] M.KAladhar, K. Venkata Subbaiah and C. Srinivasa Rao, “Determination of Optimal Process During Turning of AISI 304 Austenitic Stainless Steel Using Taguchi Method and ANOVA”, International Journal of Lean Thinking, vol.3, Issue.1, 2012.
[23] Ch. Maheswara Rao, K.V. Subbaiah and Ch. Suresh, “Prediction of Optimal Designs for Material Removal Rate and Surface Roughness Characteristics”, International Journal of Lean Thinking, Volume 7, Issue 2, pp. 24-46, 2016.
[24] B.M. Gopala Swamy, B. Mondal and S. Ghosh, “Taguchi Method and ANOVA: An Approach for Optimization of Hard Machining While Machining Hardened Steel”, Journal of Scientific and Industrial Research, vol.68, pp. 686-695, 2009.

Keywords
Arithmetic Average Roughness (Ra), Geometric Average Roughness (Rq), Ten Point Height Average Roughness (Rz), TOPSIS and ANOVA.