Professor of School of Engineering, Design and Built Environment, Western Sydney University, Australia. His research interests cover Industry 4.0, Additive Manufacturing, Advanced Engineering Materials and Structures (Metals and Composites), Multi-scale Modelling of Materials and Structures, Metal Forming and Metal Surface Treatment.
Abstract—In this study CO2 Laser Beam Welding (LBW) is used for joining an automotive gear with the
synchrocone ring both made of alloy steel (20MnCr5) optimized. Laser power and welding speed
combinations are carefully selected with the objective of producing the welded joint with deep
penetration, high aspect ratio with minimum defects. The entire quality characteristic will be
evaluated as a function of the selected laser welding parameters. Taguchi method is used as
the tool statistical Design Of Experiment (DOE). This study demonstrates the successful use
of ANOVA and Regression analysis for getting desired results. Regression analysis found to be
good in prediction. This method is proposed as a way to enhance process efficiency and design
laser welds which display deep penetration and high depth-to-width or aspect ratios with
acceptable range of defects
Index Terms—CO2 LBW, Taguchi method, ANOVA, Regression analysis
Cite: Namrata Gangil and Durgesh Joshi, "Statistical Modelling of CO2 Laser Beam Welding of 20MnCr5 Alloy Steel," International Journal of Mechanical Engineering and Robotics Research, Vol. 3, No. 3, pp. 361-369, July 2014.
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