Advanced Optical Coherence Tomography for Real-Time Detection of Defects in Aluminum Alloy Laser Welding

被引:1
|
作者
Jiang, Zhengying [1 ,2 ]
Jiang, Zhengang [1 ]
机构
[1] Changchun Univ Sci & technol, Coll Comp Sci & technol, Changchun 130032, Peoples R China
[2] Changchun Normal Univ, Coll Phys, Changchun 130032, Peoples R China
来源
TEHNICKI VJESNIK-TECHNICAL GAZETTE | 2024年 / 31卷 / 02期
关键词
deep convolutional neural network; laser welding; optical coherence tomography;
D O I
10.17559/TV-20231011001015
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
In order to measure the quality of aluminum alloy laser welding workpiece online, an optical coherence tomography on-line detection system was established. Porosity is one of the most common defects in laser welding of aluminum alloy. The porosity produced during welding will seriously affect the welding quality. Firstly, a test device of laser welding quality detection system is built based on optical coherence tomography algorithm. Then, the theoretical model of the optical coherence tomography detection system is built, and the key parameters affecting the detection device are qualitatively analyzed. Then, deep convolutional neural network algorithm is used to process the image. Finally, the testing equipment is used to test the sample, and the testing results are analyzed. The experimental results show that this method can detect the weld quality of laser welding, and the detection accuracy is 20 mu m.
引用
收藏
页码:339 / 344
页数:6
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