To achieve high efficiency and cost reduction, large heat input welding such as submerged arc welding (SAW) and metal inert gas arc welding (MIG) using large currents are employed. However, the large heat input given to the weld may produce coarse grains in the HAZ and a reduction of toughness. To avoid these problems, narrow gap welding (NGW) which is effective in reducing heat input and achieving high productivity is often employed. However, the pear-shaped bead cracking may form according to the welding condition in the case of narrow gap welding. Therefore, the welding conditions must be carefully selected to prevent the cracks. In this study, the influences of the heat input parameters, such as heat input width, heat input depth and the total amount of heat input on the pear-shaped bead crack formation under narrow gap welding are investigated using the Thermal-elastic-plastic FEM with temperature dependent interface element. Furthermore, to find the optimum values of the heat input parameters, the optimization system which can consider the formation of pear-shaped bead cracking is developed. As optimization methods, Complex Method (CM) and Genetic Algorithm (GA) are adopted. Using these methods, the ideal heat input distribution to achieve deeper penetration with small heat input and without cracking can be computed. As a result, the superiority of the welding using narrow gap can be shown in the viewpoint of heat input efficiency.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.