Asani, Zemerart (2021) OPTIMIZATION OF DOUBLE-SIDED SUBMERGED ARC WELDING PARAMETERS OF STEEL X65. Journal of Applied Sciences-SUT, 7 (13-14). pp. 135-144. ISSN 2671-3047

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Due to the complexity of the Submerged Arc Welding process (SAW), determining welding parameters has relied on empirical and experimental data (trial and error), which economically is not justifiable. Welded joint quality during Submerged Arc Welding (SAW) is mainly influenced by various welding parameters such as arc voltage (U), welding current (I), welding speed (vs) and electrode stick out (l). Welded joint geometry is directly influenced by these welding parameters, so in the published literature from this field there are various data about the influence of welding parameters on the welded joint geometry. Therefore, in this paper we have developed mathematical models for our experimental data, based on the welding voltage (U), welding current (I) and welding speed (vs) and the effect of these parameters on penetration and overlap. The models were obtained by multiple polynomial regression analysis. These models predict penetration and overlap in two-sided submerged arc welding of API 5L grade steel X65 for line pipe. The results of the established mathematical models show that the models accurately predict weld penetration and overlap. Furthermore, we must optimize welding parameters to produce high-quality welding. To do so, we used the Genetic Algorithm (GA), as a computational tool to solve the resulting constrained optimization problem. The results give us the values for penetration and overlap at their maximum/minimum values respectively.

Item Type: Article
Subjects: Q Science > Q Science (General)
Divisions: Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User: Unnamed user with email zshi@unite.edu.mk
Date Deposited: 05 Oct 2021 11:13
Last Modified: 05 Oct 2021 11:13
URI: http://eprints.unite.edu.mk/id/eprint/844

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