Development of regression models and optimization of FCAW process parameter of 2205 duplex stainless steel

G Bansal Rajkumar; N Muragan

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Development of regression models and optimization of FCAW process parameter of 2205 duplex stainless steel

机译：Development of regression models and optimization of FCAW process parameter of 2205 duplex stainless steel

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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.

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《Indian journal of engineering and materials sciences》 |2014年第2期|149-154|共6页
作者
G Bansal Rajkumar; N Muragan;
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作者单位

Department of Mechanical Engineering, United Institute of Technology, Coimbatore 641 020, India;

Department of Mechanical Engineering, Coimbatore Institute of Technology, Coimbatore 641 035, India;

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原文格式 PDF
正文语种英语
中图分类工程材料学;
关键词
FCAW; Optimization; Weld metal area; Response surface methodology; Regression models;

Development of regression models and optimization of FCAW process parameter of 2205 duplex stainless steel

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