Optimization of hybrid laser – TIG welding of 316LN steel using response surface methodology (RSM). (July 2017)

• Record Type: Journal Article
• Authors: Ragavendran, M.; Chandrasekhar, N.; Ravikumar, R.; Saxena, Rajesh; Vasudevan, M.; Bhaduri, A.K.
• Is Part Of: Optics and lasers in engineering. Volume 94(2017)
• Page Start: 27
• Page End: 36
• Publication Date: 2017-07
• Subjects: Hybrid laser-TIG welding -- Response surface methodology (RSM) -- Desirability approach -- 316LN stainless steel -- Depth of penetration (DOP); Lasers in engineering -- Periodicals; Optical measurements -- Periodicals; Optics -- Periodicals; Lasers en ingénierie -- Périodiques; Mesures optiques -- Périodiques; Optique -- Périodiques; 621.36605
• DOI: 10.1016/j.optlaseng.2017.02.015
• Languages: English
• ISSNs: 0143-8166

Abstract

Abstract: In the present study, the hybrid laser – TIG welding parameters for welding of 316LN austenitic stainless steel have been investigated by combining a pulsed laser beam with a TIG welding heat source at the weld pool. Laser power, pulse frequency, pulse duration, TIG current were presumed as the welding process parameters whereas weld bead width, weld cross-sectional area and depth of penetration (DOP) were considered as the process responses. Central composite design was used to complete the design matrix and welding experiments were conducted based on the design matrix. Weld bead measurements were then carried out to generate the dataset. Multiple regression models correlating the process parameters with the responses have been developed. The accuracy of the models were found to be good. Then, the desirability approach optimization technique was employed for determining the optimum process parameters to obtain the desired weld bead profile. Validation experiments were then carried out from the determined optimum process parameters. There was good agreement between the predicted and measured values. Highlights: Hybrid laser – TIG welding (custom made) of 316 LN stainless steel. Process optimization using RSM. Maximum depth of penetration. Experimental validation.