Optimization of Bead Geometry during Tungsten Inert Gas Welding Using Grey Relational and Finite Element Analysis

Author:

Hanif Muhammad1ORCID,Shah Abdul Hakim2,Shah Imran3ORCID,Mumtaz Jabir4ORCID

Affiliation:

1. Schools of Mechanical Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China

2. Department of Physics and Chemistry, Khushal Khan Khattak University Karak, Karak 27400, Pakistan

3. Department of Aerospace Engineering, College of Aeronautical Engineering, National University of Sciences and Technology, Risalpur 24090, Pakistan

4. College of Mechanical and Electrical Engineering, Wenzhou University, Wenzhou 325035, China

Abstract

Mild steel welded products are widely used for their excellent ductility. Tungsten inert gas (TIG) welding is a high-quality, pollution-free welding process suitable for a base part thickness greater than 3 mm. Fabricating mild steel products with an optimized welding process, material properties, and parameters is important to achieve better weld quality and minimum stresses/distortion. This study uses the finite element method to analyze the temperature and thermal stress fields during TIG welding for optimum bead geometry. The bead geometry was optimized using grey relational analysis by considering the flow rate, welding current, and gap distance. The welding current was the most influential factor affecting the performance measures, followed by the gas flow rate. The effect of welding parameters, such as welding voltage, efficiency, and speed on the temperature field and thermal stress were also numerically investigated. The maximum temperature and thermal stress induced in the weld part were 2083.63 °C and 424 MPa, respectively, for the given heat flux of 0.62 × 106 W/m2. Results showed that the temperature increases with the voltage and efficiency of the weld joint but decreases with an increase in welding speed.

Funder

International and Hong Kong, Macao and Taiwan high end talent exchange funding of Guangdong Province

Publisher

MDPI AG

Subject

General Materials Science

Reference35 articles.

1. TIG welding process with dynamic feeding: A characterization approach;Okuyama;Int. J. Adv. Manuf. Technol.,2018

2. Saha, D., Sushma, S., and Jalageri, M. (2017, January 17–18). Parametric optimization of Tig welding for M1020 using Taguchi-grey relation based design method. Proceedings of the International Conference on Emerging Trends in Science, Engineering and Management, Hyderabad, India.

3. Grey-based Taguchi method for optimization of bead geometry in submerged arc bead-on-plate welding;Datta;Int. J. Adv. Manuf. Technol.,2008

4. Study and selection of most appropriate filler rod for GTAW of S32750 super duplex steel joints: A comprehensive study on microstructural, mechanical and corrosion properties;Amiri;Mater. Chem. Phys.,2021

5. Cui, S., Pang, S., Pang, D., and Zhang, Z. (2021). Influence of Welding Speeds on the Morphology, Mechanical Properties, and Microstructure of 2205 DSS Welded Joint by K-TIG Welding. Materials, 14.

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