[BOOK][B] Intelligentized methodology for arc welding dynamical processes

SB Chen, J Wu - 2009 - Springer
2009Springer
Welding handicraft is one of the most primordial and traditional technics, mainly by
manpower and human experiences. Weld quality and efficiency are, therefore, straitly limited
by the welder's skill. In the modern manufacturing, automatic and robotic welding is
becoming an inevitable trend. However, it is difficult for automatic and robotic welding to
reach high quality due to the complexity, uncertainty and disturbance during welding
process, especially for arc welding dynamics. The information acquirement and real-time …
Welding handicraft is one of the most primordial and traditional technics, mainly by manpower and human experiences. Weld quality and efficiency are, therefore, straitly limited by the welder’s skill. In the modern manufacturing, automatic and robotic welding is becoming an inevitable trend. However, it is difficult for automatic and robotic welding to reach high quality due to the complexity, uncertainty and disturbance during welding process, especially for arc welding dynamics. The information acquirement and real-time control of arc weld pool dynamical process during automatic or robotic welding always are perplexing problems to both technologist in weld field and scientists in automation. This book presents some application researches on intelligentized methodology in arc welding process, such as machine vision, image processing, fuzzy logical, neural networks, rough set, intelligent control and other artificial intelligence methods for sensing, modeling and intelligent control of arc welding dynamical process. The studies in the book indicate that the designed vision sensing and control systems are able to partially emulate a skilled welder’s intelligent behaviors: observing, estimating, decision-making and operating, and show a great potential and promising prospect of artificial intelligent technologies in the welding manufacturing. The book is divided into six chapters: Chap. 1 gives an introduction on development of welding handicraft and manufacturing technology; Chap. 2 mainly addresses visual sensing systems for weld pool during pulsed Gas Tungsten Arc Welding (GTAW); Chap. 3 mainly address information acquirement of arc welding process by image processing methods, including acquiring two dimensional and three dimensional characteristics from monocular image of GTAW weld pool; Chap. 4 mainly addresses modeling methods of weld pool dynamics during pulsed GTAW, including identification of linear models and nonlinear transfer function models of weld pool dynamical process; artificial neural network models and knowledge models for predicting and control of weld pool dynamical characteristics; Chap. 5 mainly addresses intelligent control strategies for arc welding process, including self-regulating PID, fuzzy, PSD controllers, neural network self-learning controllers, model-free controller and composited intelligent controllers for dynamical weld pool during pulsed GTAW; Chap. 6 mainly addresses real-time control of weld pool dynamics during robotic welding process, including intelligentized v
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