Sensing and digital control of weld pool with visual welding robot

Sharif, Leila H.; Yamane, Satoshi; Yusuke, Hino; Eguchi, K.; Kubota, Takefumi; Oshima, Kenji

doi:10.1109/iecon.2000.972500

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…It was constituted by three fuzzy controllers, where controller 1 controls the weld pool width, and controllers 2 and 3 are used to keep arc length constant. Welding speed and wire feed rate were controlled by Sharif et al 41 to get desired bead height and arc position. Chen et al 37 explored methods to control the weld pool in real-time for pulsed GTAW process.…”

Section: The Tuning Of the Welding Variablesmentioning

confidence: 99%

A Survey of the Sensing and Control Techniques for Robotic Arc Welding

Yan

et al. 2007

Measurement and Control

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Section: The Tuning Of the Welding Variablesmentioning

confidence: 99%

A Survey of the Sensing and Control Techniques for Robotic Arc Welding

Yan

et al. 2007

Measurement and Control

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“…In this method, a structure laser light shaped by laser is utilized. The main insufficiency of the method is that much information of the welding is lost, and it is expensive and cumbersome [1][2][3][4][5][6][7][8] .…”

Section: Introductionmentioning

confidence: 99%

Novel low-cost vision-sensing technology with controllable of exposal time for welding

et al. 2005

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In the process of robot Welding, position of welding seam and welding pool shape is detected by CCD camera for quality control and seam tracking in real-time. It is difficult to always get a clear welding image in some welding methods, such as TIG welding. A novel idea that the exposal time of CCD camera is automatically controlled by arc voltage or arc luminance is proposed to get clear welding image. A set of special device and circuits are added to a common industrial CCD camera in order to flexibly control the CCD to start or close exposal by control of the internal clearing signal of the accumulated charge. Two special vision sensors according to the idea are developed. Their exposal grabbing can be triggered respectively by the arc voltage and the variety of the arc luminance. Two prototypes have been designed and manufactured. Experiments show that they can stably grab clear welding images at appointed moment, which is a basic for the feedback control of automatic welding.

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Image processing and weld deviation recognition of robotic deep penetration TIG welding

Shi

2017

2017 IEEE 7th Annual International Conference on CYBER Technology in Automation, Control, and Intelligent Systems (CYBER)

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Sensing and digital control of weld pool with visual welding robot

Cited by 5 publications

References 3 publications

A Survey of the Sensing and Control Techniques for Robotic Arc Welding

A Survey of the Sensing and Control Techniques for Robotic Arc Welding

Novel low-cost vision-sensing technology with controllable of exposal time for welding

Image processing and weld deviation recognition of robotic deep penetration TIG welding

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