This paper is published in Volume-3, Issue-4, 2017
Area
Production
Author
Krishanveer Singh
Co-authors
Abhilash Karakoti
Org/Univ
Noida International University, Greater Noida, India
Pub. Date
28 July, 2017
Paper ID
V3I4-1222
Publisher
Keywords
SS304, Averaged Surface Roughness, Irregularities, Taguchi Method, Regression Analysis, ANOVA

Citationsacebook

IEEE
Krishanveer Singh, Abhilash Karakoti. Optimization of Parameter for Surface Roughness by Using Taguchi Method, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Krishanveer Singh, Abhilash Karakoti (2017). Optimization of Parameter for Surface Roughness by Using Taguchi Method. International Journal of Advance Research, Ideas and Innovations in Technology, 3(4) www.IJARIIT.com.

MLA
Krishanveer Singh, Abhilash Karakoti. "Optimization of Parameter for Surface Roughness by Using Taguchi Method." International Journal of Advance Research, Ideas and Innovations in Technology 3.4 (2017). www.IJARIIT.com.

Abstract

In order to produce any product with desired quality by machining, proper selection of process parameters is essential. This can be accomplished by Taguchi approach. The aim of the present work is to investigate the effects of process parameters on surface finish to obtain the optimal setting of these process parameters, and the regression analysis and the analysis of variance(ANOVA) is also used to analyse the influence of cutting parameter during machining. Current investigation on turning process is a Taguchi optimization technique applied on the most effective process parameters i.e. feed, cutting speed and depth of cut while machining SS 304 as the work piece with brazed cutting tool. Main effect plots are generated and analysed to find out the relationship between them. The details of experimentation and analysis are given in the following context.
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