文献类型：期刊文献

英文题名：Analysis and modeling of GTAW weld pool geometry

作者：Wang, XueWu[1]

机构：[1] Key Laboratory of Advanced Control and Optimization for Chemical Processes, Ministry of Education, East China University of Science and Technology, 200237 Shanghai, China

年份：2013

卷号：355

起止页码：284

外文期刊名：Communications in Computer and Information Science

收录：EI(收录号：20133816757951)

语种：英文

外文关键词：Neural network models - Gas welding - Welds

摘要：A three dimensional vision sensing system was used to mimic the human vision system to observe the three-dimensional weld pool surface in pipe Gas Tungsten Arc Welding (GTAW) process. Novel characteristic parameters containing information about the penetration state specified by its back-side weld pool width and height were proposed based on the reconstructed three dimensional weld pool surfaces. In order to obtain the penetration status in real time conveniently, a neural network model was established to estimate the penetration based on the proposed characteristic parameters. It was found that the top-side characteristic parameters proposed can reflect the back-side weld pool parameters accurately and the neural network is capable of predicting the penetration status in real time by observing the three-dimensional weld pool surface which is beneficial for penetration control of GTAW process. ? Springer-Verlag Berlin Heidelberg 2013.