Image Processing of Aluminum Alloy Weld Pool for Robotic VPPAW Based on Visual Sensing
Author(s) -
Chun Jiang,
Fubiao Zhang,
Zhenmin Wang
Publication year - 2017
Publication title -
ieee access
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.587
H-Index - 127
ISSN - 2169-3536
DOI - 10.1109/access.2017.2761986
Subject(s) - aerospace , bioengineering , communication, networking and broadcast technologies , components, circuits, devices and systems , computing and processing , engineered materials, dielectrics and plasmas , engineering profession , fields, waves and electromagnetics , general topics for engineers , geoscience , nuclear engineering , photonics and electrooptics , power, energy and industry applications , robotics and control systems , signal processing and analysis , transportation
The intelligent welding technology is one of key development directions in “Industry 4.0” systems, and the use of sensing method is the main research direction of future intelligent welding technology. Due to the characteristics of aluminum alloy variable polarity plasma arc welding, by employing a complementary metal oxide semiconductor welding camera with a composite filter glass, a clear image of weld pool can be captured by side vision sensor. Aiming at the images captured with digital graphic processing technique, in this paper images are processed by Labview vision module. Moreover, in this paper, a method for image processing, which includes reversing, local threshold determination based on variance within the group, fast Fourier transform low-pass truncate filtering and advanced morphological operations for particle, is proposed to extract the characteristics of weld pool width. The result has shown that proposed image processing system can obtain reliable information on width of weld pool, which represents the basis for realization of quality control in aluminum alloy variable polarity plasma arc welding.
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