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

Authors

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

Keywords:

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

Abstract

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.

References

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2016-08-30

Issue

Volume 2, Issue 4, July-August-2016

Section

Research Articles

License

Copyright (c) IJSRSET

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
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.