Process Parameter Optimization of Surface Grinding for AISI 321 by Using Taguchi Method

Authors(2) :-Avinash S. Jejurkar, Vijay L. Kadlag

Recently Austenitic stainless steel AISI-321 finding many applications like Automotive, Aerospace, Nuclear, Chemical and Cryogenics. The proposed work takes the following input processes parameters namely Work speed, feed rate and depth of cut. The main objective of this work is to predict the grinding behavior and achieve optimal operating processes parameters. A software package may be utilized which integrates these various models to simulate what happens during surface grinding processes. Predictions from this work will be further analyzed by calibration with actual data. It involves many variables such as depth of cut, work speed, feed rate, chemical composition of work piece, etc. The main aim of any machining process is to maximize the Metal Removal Rate (MRR) and to minimize the surface roughness (Ra). In order to optimize these values Taguchi method, ANOVA is used.

Authors and Affiliations

Avinash S. Jejurkar
Department of Mechanical Engineering, SVIT, Chincholi, Nashik, Maharashtra, India
Vijay L. Kadlag
Department of Mechanical Engineering, SVIT, Chincholi, Nashik, Maharashtra, India

Austenitic stainless steel, surface grinding, Taguchi, S/N ratio ANOVA, Optimization

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Publication Details

Published in : Volume 2 | Issue 4 | July-August 2016
Date of Publication : 2016-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 41-45
Manuscript Number : IJSRSET16249
Publisher : Technoscience Academy

Print ISSN : 2395-1990, Online ISSN : 2394-4099

Cite This Article :

Avinash S. Jejurkar, Vijay L. Kadlag, " Process Parameter Optimization of Surface Grinding for AISI 321 by Using Taguchi Method , International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 2, Issue 4, pp.41-45, July-August-2016.
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