Experimental Investigation of Process Parameters While Milling of AA8011 Using MCDM/MADM Method-TOPSIS

Authors

  • Maheswara Rao ANITS college of engineering, Assistant Professor
  • R. Vara Prasad
  • K.V. Subbaiah

DOI:

https://doi.org/10.37591/joprm.v8i2.930

Keywords:

Volume of Material Removal Rate (VMRR), Surface Roughness (Ra), TOPSIS method, ANOVA

Abstract

This paper presents in-depth and comprehensive approach for optimizing the machining parameters in milling of wrought alloy AA8011 using a MCDM/MADM method called TOPSIS. The present work is carried out in three phases; in the first phase the orthogonal array L27 design is prepared using Minitab software by considering various milling parameters such as speed, feed and depth of cut at three different levels. In the second phase, milling operations are  performed on the work piece using a carbide end mill cutter of size 20 mm as per Taguchi design and the responses such as Volume of material removal rate (VMRR) and Surface roughness (Ra) are measured. In the third phase the experimental response data are analyzed using TOPSIS method. The TOPSIS results are used for identifying the optimal combination of cutting parameters which maximizes the volume of material removal rate and minimizes the surface roughness simultaneously.

Author Biography

  • Maheswara Rao, ANITS college of engineering, Assistant Professor
    ANITS college of engineering, Mechanical Department, Assistant Professor.

References

S.Thamizhmanii, S.Saparudin and S.Hasan, “Analysis of Surface Roughness by Turning Process Using Taguchi Method”, Journal of Achievements in Materials and Manufacturing, 2007, vol. 20, no.1-2, pp. 503-506.

H.K.Dave, L.S.Patel and H.K.Raval, “Effect of Machining Conditions On MRR and Surface Roughness During CNC Turning of Different Materials Using Tin Coated Cutting Tools by Taguchi Method”, International Journal of Industrial Engineering Computations 3, 2012, pp. 925-930.

Suleiman Abdulkareem, Usman Jibrin Rumah & Apasi Adaokoma, “Optimizing machining parameters during Turning process”, International Journal of Integrated Engineering, 2011, Vol.3 No.1, pp. 23-27.

Hari singh & Pradeep Kumar, “Optimizing feed force for turned parts through the Taguchi technique”, Sadana, 2006, Vol.31, part 6, pp. 671-681.

N.E. Edwin Paul, P.Marimuthu, R.Venkatesh Babu, “Machining parameter setting for facing EN 8 steel with TNMG Insert”, American International Journal of Research in Science and Technology, Engineering & Mathematics, 2013, 3(1), pp.87-92.

M.A.Abo-Sinna and A.H.Amer, “Extensions of TOPSIS for multi-objective large scale nonlinear programming problems”, Applied Mathematics and Computation 162, 2005, pp.243-256.

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. [8] M.Behzadian, S.Otaghsara, M.Yazdani and J.Ignatius, “A State-of-the-art survey of TOPSIS applications”, Expert Systems with Applications, 39(17), 2012, pp. 13051-13069.

Y.Ic, “An Experimental design approach using TOPSIS method for the selection of computer-integrated manufacturing technologies”, Robotics and Computer-Integrated Manufacturing, 2012, 28(2), pp.245-256.

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, 1998, vol. 107, no.3, pp. 507-529.

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, 1998, vol. 2, pp. 1842-1844.

S.Ding and Z.Shi, “Studies on incident pattern recognition based on information entropy”, Journal of Information Science, 2005, vol. 31, no. 6. [13]V.Podvezko, “The Comparative analysis of MCDA Methods SAW and COPRAS”, Inzinerine-EkonomikaEngineering Economics, 2011, 22(2), pp. 134-146.

R.Simanaviciene, L.Ustinovichius, “Sensitivity analysis for multiple criteria decision making methods: TOPSIS and SAW”, Procedia Social and Behavioral Sciences, 2010, 2, pp. 7743-7744.

Downloads

Published

2018-09-01

Issue

Vol. 8 No. 2 (2018)

Section

Articles

License

Declaration and Copyright Transfer Form

(to be completed by authors)

I/ We, the undersigned author(s) of the submitted manuscript, hereby declare, that the above manuscript which is submitted for publication in the STM Journals(s), is not published already in part or whole (except in the form of abstract) in any journal or magazine for private or public circulation, and, is not under consideration of publication elsewhere.

  • I/We will not withdraw the manuscript after 1 week of submission as I have read the Author Guidelines and will adhere to the guidelines.
  • I/We Author(s ) have niether given nor will give this manuscript elsewhere for publishing after submitting in STM Journal(s).
  • I/ We have read the original version of the manuscript and am/ are responsible for the thought contents embodied in it. The work dealt in the manuscript is my/ our own, and my/ our individual contribution to this work is significant enough to qualify for authorship.
  •  I/We also agree to the authorship of the article in the following order:

Author’s name                                    

 

1. ________________

2. ________________

3. ________________

4. ________________

 

We  Author(s) tick this box and would request you to consider it as our signature as we agree to the terms of this Copyright Notice, which will apply to this submission if and when it is published by this journal.