焊缝跟踪过程传感与信号处理技术的研究进展

doi:10.11896/cldb.18020144

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Abstract Welding automation is a crucial way towards “digitalization” and “intelligentization” of welding technology in 21st century.Welding automation can be realized with the premise of automatic, fast and accurate tracking the welding seam. Before the emergence of automatic welding technology, conventional welding operations were manually conducted. However, there are certain insufficiencies of manual monitoring and tracking of welding. On one hand, the harsh environment of welding work will do harm to the health of workers. On the other hand, the welding quality cannot be guaranteed under the long-term labor intensity brought by track and monitor welding process.
The modern welding seam tracking technology is gradually getting rid of artificial interference, turning to sensors, computer processing and automatic welding process by actuators. Sensor is regard as the “sensory organ” of the weld tracking system, and the system completely relies on sensors to perceive the external welding environment and determine the relative position of welding torch and seam. meanwhile, welding environment is often accompanied with various noise, spatter, high-frequency radiation and so forth, which will obviously affect the signal acquisition and even cause an error of judgment on the position of welding seam.
Hence, for the sake of acquiring satisfactory data, it has become an urgent need for welding seam tracking technology to employ appropriate welding sensing approach and process the acquired signals accurately and quickly. Generally, welding seam tracking sensors can be classified into direct sensors (arc sensors) and indirect sensors. In recent years, certain development have been made for both types of sensors. For instance, the application of magnetic-control arc sensors provides a new research direction for welding seam tracking, and indirect vision sensors are stepping their way to miniaturization and simplification. moreover, the emergence of multi-sensor information fusion technology creates a possibility to overcome the insufficiency in accuracy of single sensor. Besides, the signal processing technology can boost the signal-to-noise ratio, which paves the way for obtaining accurate information of seam position. The electrical signal filtering technology is changing gradually from a simple hardware filter to a software filter and combined filtering method. Concerning image processing technology, the anti-interference ability of image has been improved, yet further research should be conducted on the accuracy, real-time performance and reliability of welding seam identification.
In this article, we systematically introduce the sensing approaches applied in seam tracking process, and put emphasis on the detailed classification and characteristics of the mainstream arc sensors and visual sensors. Additionally, we summarize the development status of crucial arc sensing signal filtering technology and essential visual sensing image processing technology. Finally, we point out the future directions of welding seam tracking.

Key words： welding automation welding seam tracking welding sensor electrical signal filtering image processing

Published: 10 April 2019

CLC number:

TG409

Fund:This work was supported by the National Natural Science Foundation of China (51675269), the State Key Laboratory of Advanced Brazing Filler metals & Technology (Zhengzhou Research Institute of mechanical Engineering), China (SKLABFmT201704) and the Priority Academic Program Development (PAPD) of Jiangsu Higher Education Institutions

About author:: Peizhuo Zhai received his B.S. degree in material science and engineering from Nanjing University of Aeronautics and Astronautics (NUAA) in 2016. He is currently pursuing his Ph.D. at the College of material Science and Technology in NUAA under the supervision of Prof. Songbai Xue. His research has focused on advanced welding technology.Songbai Xue, who enjoys special government allo-wances, is currently a level-2 professor and Ph.D. supervisor at the College of material Science and Technology in Nanjing University of Aeronautics and Astronautics (NUAA). He has focused on welding materials and technology for decades. During these years, he formulated 5 national standards and 5 professional standards of ministry of machinery Industry. Besides, he earned more than thirty major research achievements, including a second prize of 2016 State Science and Technology Progress Award, a seco-nd prize of 2014 technical invention award of the ministry of Education, a third prize of National Defense Science and Technology Progress Award, et al. He has published about 320 papers in journals, including 120 papers indexed by SCI and 160 papers indexed by EI. The total citations are no less than 300 while a single paper is cited 38 times.

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	ZHAI Peizhuo
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Cite this article:

ZHAI Peizhuo,XUE Songbai,CHEN Tao, et al. A Technological Review on Sensing and Signal Processing in Welding Seam Tracking Process[J]. Materials Reports, 2019, 33(7): 1079-1088.

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http://www.mater-rep.com/EN/10.11896/cldb.18020144 OR http://www.mater-rep.com/EN/Y2019/V33/I7/1079

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