Modeling Methods of Weld Pool Dynamics During Pulsed GTAW

2008 ◽  
pp. 113-162
Author(s):  
Shan-Ben Chen ◽  
Jing Wu
Keyword(s):  
Weld Pool ◽  
Modeling Methods ◽  
Pulsed Gtaw

The Mathematical Model of Welding Process Comparative Study of Identification Method

2012 ◽  
Vol 472-475 ◽  
pp. 2241-2244 ◽  
Author(s):  
Jun Feng Wu ◽  
Jing Huang
Keyword(s):  
Weld Pool ◽  
Academic Research ◽  
Welding Process ◽  
Least Square Method ◽  
Mathematic Model ◽  
Least Square ◽  
Complex Object ◽  
Strong Nonlinearity ◽  
Area Method ◽  
Pulsed Gtaw

The dynamic process of the weld pool is a high complex object with strong nonlinearity, mult-variable coupling and a mount of stochastic and uncertain factors. It is very difficult to obtain an analysis mathematic model of weld pool dynamics. Pulsed Gas Tungsten Arc Welding (GTAW) is an important metal’s welding technology, which has been widely applied in the aerospace and manufacturing areas. Therefore, the dynamic characteristic of the welding process has always been hot and difficult in the field of academic research and engineering applications. In order to solve the difficulties of modeling and controlling of nonlinear system, this paper investigates the dynamic characters of the pulsed GTAW from the classic control systems. It obtains the SISO transfer function model by the area method and least square method. The results of simulation experiment show that the area method is better between the two methods.

Simultaneous vision image sensing of weld pool of pulsed GTAW in multi-orientation in a frame

2001 ◽  
Author(s):  
Guangjun Zhang ◽  
Shanben Chen ◽  
Xiaodong Liu ◽  
Lin Wu
Keyword(s):  
Weld Pool ◽  
Image Sensing ◽  
Pulsed Gtaw

Intelligent Control of Arc Welding Dynamics during Robotic Welding Process

2010 ◽  
Vol 638-642 ◽  
pp. 3751-3756 ◽  
Author(s):  
San Ben Chen ◽  
W.Y. Wang ◽  
H.B. Ma
Keyword(s):  
Weld Pool ◽  
Intelligent Control ◽  
Arc Welding ◽  
Visual Information ◽  
Control Strategies ◽  
Welding Process ◽  
Control Methods ◽  
Welding Robot ◽  
Robotic Welding ◽  
Pulsed Gtaw

This paper presents a sequential research works on visual information acquirement and intelligent control of arc weld pool dynamics and seam formation during pulsed GTAW (Gas Tungsten Arc Welding) in robotic welding process. The visual information acquirement methods are focused in computer vision sensing, image processing and characteristic extraction of the weld pool surface from the single-item pool images by particular algorithms for robotic welding process. Based on acquired visual characteristics of weld pool and established neural network and knowledge models for predicting dynamical characteristics of weld pool during robotic welding, corresponding control methods, such adaptive control, self-learning and other composite intelligent control strategies are developed to control welding pool dynamics during pulsed GTAW by welding robot. Some experiments and applications of intelligent control methods in welding robot systems are shown in the paper.

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