Analysis and Optimization of Surface Roughness in Turning Operation of Mild Steel using Taguchi Method
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International Journal of Engineering Trends and Technology (IJETT) |  |
| © 2016 by IJETT Journal | ||
| Volume-34 Number-7 |
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| Year of Publication : 2016 | ||
| Authors : Ravi Patel, Ankit Kumar, Jitendra Kumar Verma |
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| DOI : 10.14445/22315381/IJETT-V34P267 |
Citation
Ravi Patel, Ankit Kumar, Jitendra Kumar Verma "Analysis and Optimization of Surface Roughness in Turning Operation of Mild Steel using Taguchi Method", International Journal of Engineering Trends and Technology (IJETT), V34(7),337-341 April 2016. ISSN:2231-5381. www.ijettjournal.org. published by seventh sense research group
Abstract
This study was based on optimizing the turning process under different machining parameters by Taguchi method to improve the surface roughness (quality) of the product due to this decreases the machining time, increases the production rate and decreasing the product manufacturing cost. Taguchi optimization methodology is applied to optimize cutting parameters in turning of mild steel with carbide tool under dry cutting condition. The Centre Lathe machine was used for experiments based on the Taguchi design of experiments (DOE) with orthogonal L9 array. The Taguchi method is a important statistical tool, adopted experimentally to analyse the surface roughness by cutting parameters such as cutting speed, feed and depth of cut. The orthogonal array, signal to noise ratio (S/N) and Taguchi method were employed to find minimum surface roughness. From the Experimental result of Taguchi method it is found that Depth of cut is most significant, spindle speed is significant and feed rate is least significant factor effecting surface roughness.
References
[1] Rahul Davis et al. (2012), ?Analysis and Optimization of Surface Roughness in Dry Turning Operation of Mild Steel, iaeme, Volume 3, Issue 2, July-December (2012), pp. 01-09.
[2] E.J.A Armarego and R.H Brown, The machining of metals prentice Hall, 1969
[3] R.C Brewer and R. Rueda , ?A Simplified Approch to the optimum selection of machining parameters ", Engines Digest vol.24,NO.9,PP 133-150
[4] R.M Sundaram, ?An application of Goal programming technique in metal cutting,Int.j.prod.Res.,vol.16,NO5,1978,PP375-382
[5] P.G Petropoulos, ?optimum selection of machining rate variable by Geometric programming ,Int .J .prod .Res,vol.11,NO,4,1973 PP 305- 314
[6] A.Mital, M.Mehta, ?surface roughness Prediction models for fine turning, International journal of production research 26 (1988) 1861-1876
[7] C.A.Van Luhervelt,T.H.C Childs,I.S Jawahir,F.Klocke.P.K.Venuvinod.present situation & future trends modeling of machining operations.progress report of the CIRP Working group ?Modelling of machining operations Analyses of the CIRP, 47/2(1998)587-626
[8] R.Azouzi,M.Guillot, ?on-line optimization of the turning using an inverse process neuro controller translation ASME , journal of manufacturing science and engineering 120 (feb)(1998)101-107
[9] T. Sreenivasa Murthy, R.K.Suresh, G. Krishnaiah, V. Diwakar Reddy, Optimization Of Process Parameters In Dry Turning Operation Of EN 41B Alloy Steels With Cermet Tool Based On The Taguchi Method, International Journal of Engineering Research and Applications (IJERA) ISSN: 2248-9622, Vol. 3, Issue 2, March -April 2013, pp.1144-1148.
[10] Arshad Noor Siddiquee et al.(2014), ?Optimization of Deep Drilling Process Parameters of AISI 321 Steel using Taguchi Method 2211-8128 © 2014 Elsevier Ltd. doi: 10.1016/j.mspro.2014.07.195.
Keywords
Lathe machine, Optimization, DOE, Taguchi method, Mild steel, Surface Roughness etc.