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Paper Details
Paper Title
Optimization Of Process Parameters In Drilling Using Taguchi Method
Authors
  P.Surendra,  B.Krishna Murthy,  M V Kiran Kumar
Abstract
Drilling is a metal cutting machine process used to create hole of circular cross section by employing a drill bit. Several types of drill bits like H.S.S, carbide tool, TiN and TiAlN coated carbide and HSS twist drill etc. are used for drilling process in industries. The drilling operation is affected by various input parameters like speed, feed rate, depth of cut, cutting fluid, drill diameter, point angle etc. it is frequently used in automotive, aircraft and aerospace and dies or mold industries, home appliances, medical and electrical equipment industries. Thus, it needs to be cost effective along with the assurance of the quality specifications within the experimental limit.
Taguchi methods are widely used for design of experiments and analysis of experimental data for optimization of processing conditions. The optimization of drilling process parameters using Taguchi technique is employed to obtain minimum surface roughness (Ra), machining time and maximum material removal rate. A number of drilling experiments is has been conducted using the L9 orthogonal array on a CNC Drilling machine. The experiments are performed on aluminium alloy 7075 using HSS twist drills. Analysis of variance (ANOVA) was employed to determine the most significant control factors affecting the surface roughness and maximum material removal rate.
Keywords- Material Removal Rate, Surface Roughness, Taguchi Method
Publication Details
Unique Identification Number - IJEDR1802047Page Number(s) - 268-272Pubished in - Volume 6 | Issue 2 | April 2018DOI (Digital Object Identifier) -    Publisher - IJEDR (ISSN - 2321-9939)
Cite this Article
  P.Surendra,  B.Krishna Murthy,  M V Kiran Kumar,   "Optimization Of Process Parameters In Drilling Using Taguchi Method", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.6, Issue 2, pp.268-272, April 2018, Available at :http://www.ijedr.org/papers/IJEDR1802047.pdf
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