Autonomous weld seam tracking under strong noise based on feature-supervised tracker-driven generative adversarial network

2022 ◽  
Vol 74 ◽  
pp. 151-167
Author(s):  
Fengjing Xu ◽  
Huajun Zhang ◽  
Runquan Xiao ◽  
Zhen Hou ◽  
Shanben Chen
2020 ◽  
Vol 62 ◽  
pp. 101864 ◽  
Author(s):  
Ting Lei ◽  
Yu Huang ◽  
Wenjun Shao ◽  
Weinan Liu ◽  
Youmin Rong

2021 ◽  
Author(s):  
Yanfeng Gao ◽  
Jianhua Xiao ◽  
Genliang Xiong ◽  
Hua Zhang

Abstract It is essential to sense the deviation of weld seam real-timely in robotic welding process. However, welding process always accompanied with high temperature, strong arc light and background noises, which significantly affects the application of sensors. In this study, a novel acoustic sensor was developed. This sensor consists of two microphones. Based on the sound signals collected by these two microphones, the deviation of weld seam was detected. The frequency response of the developed acoustic sensor was studied through simulation method firstly, and then the sensing performance of it was analyzed with experiments. The experimental results show that the developed acoustic sensor has a linear property for the deviation detection of V-groove weld seam. This research provides a novel method for weld seam tracking.


10.2172/72972 ◽  
1995 ◽  
Author(s):  
D.J. Schmitt ◽  
J.L. Novak ◽  
J.L. Akins

Author(s):  
Yujie Yan ◽  
Fengzhi Dai ◽  
Lingran An ◽  
Xia Jin ◽  
Zhongyong Ye ◽  
...  

2019 ◽  
Vol 269 ◽  
pp. 02013
Author(s):  
Yulin Ding ◽  
Zhenguo Sun ◽  
Qiang Chen

A novel wall-climbing robot for the onsite weld inspecting of spherical tank with Time of Flight Diffraction (TOFD) method has been developed, in order to liberate operators from dangerous and heavy working environment. Patented non-contacted permanent magnetic absorbed technology was adopted to realize reliable and flexible all-position moving along the weld seam on the surface of spherical tank. To ensure stable coupling for TOFD test, a surface adaptive probe holder which can provide constant contact force, have been particularly designed. Equipped with a visual sensing based weld seam tracking unit and industrial PC station, the robot could perform automatic flaw detection remotely even in the darkness environment. Onsite ultrasonic weld inspections have been carried out on a 4000m3spherical tank with 28mm in thickness. It is verified that the robot could accomplish tasks in any position and the acquired TOFD images satisfy the requirements of engineering evaluation.


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