Analysis and Optimization of Surface Roughness in Turning Operation of Mild Steel using Taguchi Method
International Journal of Engineering Trends and Technology (IJETT) | |
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© 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
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Keywords
Lathe machine, Optimization, DOE, Taguchi method, Mild steel, Surface Roughness etc.