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  • 标题:Optimization of Surface roughness in Turning Operation of Mild Steel using Taguchi Method
  • 本地全文:下载
  • 作者:Sharath Ushar ; Sonatte Babu ; Arun Sebastian
  • 期刊名称:International Journal of Innovative Research in Science, Engineering and Technology
  • 印刷版ISSN:2347-6710
  • 电子版ISSN:2319-8753
  • 出版年度:2017
  • 卷号:6
  • 期号:3
  • 页码:4829
  • DOI:10.15680/IJIRSET.2017.0603246
  • 出版社:S&S Publications
  • 摘要:In order to produce any product with desired quality by machining, cutting parameters should be selectedproperly. In turning process parameters such as feed rates, cutting speeds, depth of cut, and other factors will impact themachining qualities like surface roughness. The optimum parameters are analyzed to obtain the best surface roughness.Thisstudy was based on optimizing the turning process under different machining parameters by Taguchi method to improve thesurface roughness (quality) of the product due to this decreases the machining time, increases the production rate anddecreasing the product manufacturing cost. Taguchi optimization methodology is applied to optimize cutting parameters inturning of mild steel with carbide tool under dry cutting condition. The Centre Lathe machine was used for experimentsbased on the Taguchi design of experiments (DOE) with orthogonal L9 array. The Taguchi method is a important statisticaltool, adopted experimentally to analyse the surface roughness by cutting parameters such as cutting speed, feed and depthof cut. The orthogonal array, signal to noise ratio (S/N) and Taguchi method were employed to find minimum surfaceroughness. From the Experimental result of Taguchi method it is found that Depth of cut is most significant, spindle speedis significant and feed rate is leastsignificant factor effecting surface roughness.
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