Research of Immune-Ant Colony Algorithm for the Detection of Weld Pool Image

Abstract This paper has researched a new immune-ant colony algorithm for weld pool detection.Firstly, the tungsten inert gas welding experiment system has been setup and welding images can be captured in real time. The tungsten inert gas welding experiment system is firstly built up, which can be used for images real time capturing. Based on the experiment system, the immune-ant colony algorithm has been designed.In the end, several testing experiments have been performed, which dictated that the performer of the researched algorithm is better. In testing experiments, after about 35 times iterative computations, a global optimum value for image segmentation is determined,which is 40% faster convergence compared to standalone ant colony algorithms. And wonderful weld pool segmentation images can be received. The edge of pool and weld seam can be easily extracted, which is helpful for weld automation.

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Publication Details

Journal
Journal of Physics Conference Series
Published
2025-05-01
DOI
https://doi.org/10.1088/1742-6596/3024/1/012028
Primary Topic
Welding Techniques and Residual Stresses
Type
article
Field-Weighted Citation Impact
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article

Research of Immune-Ant Colony Algorithm for the Detection of Weld Pool Image

Dukun Ding
Journal of Physics Conference Series
Welding Techniques and Residual Stresses
article

Research of Immune-Ant Colony Algorithm for the Detection of Weld Pool Image

Dukun Ding
article en

Abstract

Abstract This paper has researched a new immune-ant colony algorithm for weld pool detection.Firstly, the tungsten inert gas welding experiment system has been setup and welding images can be captured in real time. The tungsten inert gas welding experiment system is firstly built up, which can be used for images real time capturing. Based on the experiment system, the immune-ant colony algorithm has been designed.In the end, several testing experiments have been performed, which dictated that the performer of the researched algorithm is better. In testing experiments, after about 35 times iterative computations, a global optimum value for image segmentation is determined,which is 40% faster convergence compared to standalone ant colony algorithms. And wonderful weld pool segmentation images can be received. The edge of pool and weld seam can be easily extracted, which is helpful for weld automation.

Journal of Physics Conference SeriesVol. 3024(1)
Dongguan University of Technology (CN), Songshan Lake Materials Laboratory (CN)
Openalex Percentile: Top 88%
Welding Techniques and Residual Stresses
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