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Statistical Modelling of CO2 Laser Beam Welding of 20MnCr5 Alloy Steel

Namrata Gangil1 and Durgesh Joshi2
1.Department of Manufacturing Process & Automation Engineering, NSIT, Delhi, India
2.Department of Industrial & Production Engineering, SGSITS, Indore, India

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.