News Updates Thursday 21st Nov 2024 :
  • Welcome to INPRESSCO, world's leading publishers, We have served more than 10000+ authors
  • Articles are invited in engineering, science, technology, management, industrial engg, biotechnology etc.
  • Paper submission is open. Submit online or at editor.ijcet@inpressco.com
  • Our journals are indexed in NAAS, University of Regensburg Germany, Google Scholar, Cross Ref etc.
  • DOI is given to all articles

Optimization of Machinability Parameters of Al6061 using Taguchi Technique


Author : Madhav Murthy, K.Mallikharjuna Babu and R.Suresh Kumar

Pages : 63-66
Download PDF
Abstract

In the present day and age, manufacturing industries strive to reduce costs while at the same time increase quality of a component. This can be done effectively only after detailed studies have been carried out in the various areas of manufacturing sciences, i.e.: forging, material removal using machine tools, casting, forming, etc. Material removal using machine tools is a relatively expensive process, which is labor intensive and depends on the skill of the laborer. In recent times the focus is shifting to CNC machines due to its inherent advantages. Hence studying the parameters affecting the surface finish of a component in a CNC machine is of utmost importance. Various parameters which affect the surface roughness will be considered with enough variations in the parameters to arrive at a conclusive result. Of course, the parameters having more influence on the surface roughness will be given more importance. In this study, the effect of various cutting parameters on the surface finish of Al6061 aluminium alloy was investigated. Based on Taguchi method of design of experiments L16 orthogonal array was selected for conducting turning experiments on Al6061 T6 using CNC LT-16 turner with carbide tipped tool and the cutting parameters selected were feed, spindle speed, depth of cut and tool nose radius. The L16 array used 4 factors at 2 levels each and the experiments were conducted in temperature controlled environment. The results obtained were analyzed using ANOVA and the regression equation for predicting the surface roughness was developed.

Keywords: Cutting parameters aluminium alloy ANOVA Surface roughness

 

 

Call for Papers
  1. IJCET- Current Issue
  2. Issues are published in Feb, April, June, Aug, Oct and Dec
  3. DOI is given to all articles
  • Inpressco Google Scholar
  • Inpressco Science Central
  • Inpressco Global impact factor
  • Inpressco aap

International Press corporation is licensed under a Creative Commons Attribution-Non Commercial NoDerivs 3.0 Unported License
©2010-2023 INPRESSCO® All Rights Reserved