NDLI: Application of Grey Taguchi-based response surface methodology (GT-RSM) for optimizing the plasma arc cutting parameters of 304L stainless steel

Content Provider	Springer Nature Link
Author	Adalarasan, R. Santhanakumar, M. Rajmohan, M.
Copyright Year	2014
Abstract	Plasma arc cutting (PAC) is a highly promising thermal cutting process because of its wide industrial applications involving cutting of different materials at high speeds. The competing abilities of PAC with laser cutting combined with its less polluting nature have shifted the research attention towards the process. The cutting parameters like arc current, torch stand-off, cutting speed and gas pressure play an important role in determining the quality of a cut surface. In the present work, the quality characteristics of the cut surface were assessed by measuring the surface roughness and kerf width while cutting the 304 L stainless steel. The experimental trials were designed by Taguchi’s L18 orthogonal array unlike the central composite design used with traditional response surface methodology (RSM), and an integrated approach of Grey Taguchi-based response surface methodology (GT-RSM) was disclosed for predicting the optimal combination of cutting parameters. The GT-RSM approach was found to improve the quality characteristics studied in the work significantly. The results will offer a good cutting database for the textile, chemical and pharmaceutical processing industries.
Starting Page	1161
Ending Page	1170
Page Count	10
File Format	PDF
ISSN	02683768
Journal	The International Journal of Advanced Manufacturing Technology
Volume Number	78
Issue Number	5-8
e-ISSN	14333015
Language	English
Publisher	Springer London
Publisher Date	2015-01-07
Publisher Place	London
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Plasma arc cutting Optimization Grey Taguchi Response surface methodology Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design
Content Type	Text
Resource Type	Article
Subject	Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software

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