Thursday, 8 November 2012

Prediction of machining parameters for optimum Surface Roughness in turning SS 304


Sahoo , Smrutiranjan (2011) Prediction of machining parameters for optimum Surface Roughness in turning SS 304. BTech thesis.

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Abstract

In any machining process, apart from obtaining the accurate dimensions, achieving a good surface quality is also of utmost importance. A machining process involves many process parameters which directly or indirectly influence the surface quality of the product. Surface roughness and waviness in turning process are caused due to various parameters of which feed, speed, depth of cut are important ones. A precise knowledge of these optimum parameters would facilitate reduce the machining costs and improve product quality. Extensive study has been conducted in the past to optimize the process parameters in any machining process to have the best product. 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 analyzed to find out the relationship between them. The details of experimentation and analysis are given in the following context.
Item Type:Thesis (BTech)
Uncontrolled Keywords:surface roughness, Taguchi, SS 304, turning
Subjects:Engineering and Technology > Mechanical Engineering > Production Engineering
Divisions:Engineering and Technology > Department of Mechanical Engineering
ID Code:2340
Deposited By:Sahoo Smrutiranjan
Deposited On:13 May 2011 14:22
Last Modified:13 May 2011 14:22
Supervisor(s):Sahoo, S K

Shiva Shankar

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