An optical sensing system for seam tracking and weld pool control in gas metal arc welding of steel pipe

Bae, Kyung‐Yeol; Lee, T.-H.; Ahn, Kook Chan

doi:10.1016/s0924-0136(01)01216-x

Cited by 130 publications

(45 citation statements)

References 2 publications

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“…Many researchers have used weld bead as a control parameter (Murugana and Gunaraj, 2005). While others have used pool geometry as a control parameter (Bae et al, 2002). Weld penetration has been controlled dynamically by others (Zhang and Liu, 2007).…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel Method to Improve Weld Uniformity by Automatic Control of Current Intensity

Morgan¹,

Al-Mufadi²

2015

American Journal of Engineering and Applied Sciences

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This study aims to develop an automatic arc welding system capable of welding irregular and moving joints which are difficult to weld manually. The motivation of this research comes from the need to produce uniforms weldings on regular and irregular surfaces by automatic means. The system consists of a personal computer equipped with A/D interface card connected to an electric current sensor and two electric motors controlled via electronic circuits. A control program receives the electric current measurements and makes the necessary calculations for the correct vertical motion of the welding electrode. A modified PID controller was used to control the process dynamics. An X-Y mechanism with two electric motors was developed to control the motion of the electrode as well as the work piece. A comparison was made between two welded specimens; one was welded by traditional manual method and, the second by using automatic control mechanism. The weld distribution through the welded joints was compared. Different irregular joints were also compared for the manual and automatic control welding methods. It was found that the control system works with an accuracy of ±28 µm for a 1.01 mm weld thickness of a flat weld by controlling the current at 60 A within a standard deviation of ±1.45 A. As a result welds with uniform thickness were obtained. The uniform heating further contributes to a uniform microstructure in the weld area. The implications of this research will be enhanced automation of the welding process in industry, with improved control over its uniformity, especially while welding around circular objects and during vibrating or unstable conditions.

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Section: Literature Reviewmentioning

confidence: 99%

A Novel Method to Improve Weld Uniformity by Automatic Control of Current Intensity

Morgan¹,

Al-Mufadi²

2015

American Journal of Engineering and Applied Sciences

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“…For example, today is very common for automated welding procedures to be guided by seam tracking devices. They are usually based on the projection of a laser line on the workpiece, while a video camera take an image of the surface profile to guide the trajectory of the torch or the laser beam (Bae et al, 2002). Voltage sensors to automatically adjust the current in arc welding processes are also routinely used.…”

Section: On-line Monitoring Of the Welding Processesmentioning

confidence: 99%

Optical Methods for On-line Quality Assurance of Welding Processes in Nuclear Steam Generators

Cobo¹,

Mirapeix²,

Solana³

et al. 2011

Steam Generator Systems: Operational Reliability and Efficiency

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“…One major field is directed toward joint tracking systems aiming at compensating for tolerances in fixturing and manipulator motions. These systems are based on identification of geometrical details of the joint edge in a control strategy [3,21,26,29,32]. An interesting approach is suggested in [10] where the arc current is measured with a rotational arc sensor to detect the deviation and inclination of the welding torch.…”

Section: Introductionmentioning

confidence: 99%

Prediction of penetration in one-sided fillet welds by in-process joint gap monitoring—an experimental study

Sikström

Öberg

2017

Weld World

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The challenge to predict variations in penetration depth in one-sided fillet welds during robotized gas metal arc welding has been addressed by a pilot investigation of technical possibilities and limitations. The main cause for the variation in penetration depth is considered to be variation in joint gap size. Special attention has been paid in order to adopt the experimental conditions to conform to industrial welding conditions. The employed method uses in-process monitoring of joint gap size together with an empirical model relating penetration depth to gap size in order to predict this depth. The gap size estimates are based on image information from two cameras, one visual and one infrared. The results, that are evaluated off-line, confirm the development of a real-time method providing technical solutions that are industrially tractable. The results also pinpoint areas of further improvements towards increased robustness and reduced estimation uncertainties.

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An optical sensing system for seam tracking and weld pool control in gas metal arc welding of steel pipe

Cited by 130 publications

References 2 publications

A Novel Method to Improve Weld Uniformity by Automatic Control of Current Intensity

A Novel Method to Improve Weld Uniformity by Automatic Control of Current Intensity

Optical Methods for On-line Quality Assurance of Welding Processes in Nuclear Steam Generators

Prediction of penetration in one-sided fillet welds by in-process joint gap monitoring—an experimental study

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