光学相干层析成像
合金
材料科学
焊接
激光器
激光束焊接
铝
光学
冶金
物理
作者
Jiang Zhengying,Jiang Zhengang,Jiang Zhengying,Jiang Zhengang
出处
期刊:Tehnicki Vjesnik-technical Gazette
[Faculty of Mechanical Engineering in Slavonski Brod, Faculty of Electrical Engineering in Osijek, Faculty of Civil Engineering i]
日期:2024-03-07
卷期号:31 (2)
标识
DOI:10.17559/tv-20231011001015
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 μm.
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