Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/28781
Title: Development of regression models and optimization of FCAW process parameter of 2205 duplex stainless steel
Authors: Rajkumar, G Bansal
Murugan, N
Keywords: FCAW;Optimization;Weld metal area;Response surface methodology;Regression models
Issue Date: Apr-2014
Publisher: NISCAIR-CSIR, India
Abstract: Welding input process parameters are playing significant role to determine the weld bead quality. This paper presents an experimental design approach to optimizing the input process parameter of flux cored arc welding (FCAW) of 2205 duplex stainless steel butt weld. FCAW input process parameters such as welding current, welding speed and open circuit voltage are taken as an important parameter to determine the quality of weld. The experiment is conducted based on three factors and five levels of central composite rotatable design with full replication technique. Regression models are developed to determine optimal parameters. Weld metal area of the weld bead, an important bead parameter is optimized (minimized) by keeping weld bead width and reinforcement as constraints to obtain quality weld. The optimized parameter is determined by Excel solver and validated by conducting experiments. The results reveal the interdependence of weld bead quality parameters in controlling weld metal area of the bead to improve the weld quality.
Page(s): 149-154
URI: http://hdl.handle.net/123456789/28781
ISSN: 0975-1017 (Online); 0971-4588 (Print)
Appears in Collections:IJEMS Vol.21(2) [April 2014]

Files in This Item:
File Description SizeFormat 
IJEMS 21(2) 149-154.pdf497.03 kBAdobe PDFView/Open


Items in NOPR are protected by copyright, with all rights reserved, unless otherwise indicated.