Infrared sensing techniques for penetration depth control of the submerged arc welding process

Wikle, Howard C.; Kottilingam, S; Zee, R.H.; Chin, Bryan A.

doi:10.1016/s0924-0136(01)00587-8

Cited by 109 publications

(52 citation statements)

References 8 publications

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“…It offers advantages over classical artificial vision systems in the visible range, as there is a more direct estimation of the temperature distribution over the workpiece, which is clearly a magnitude directly related to the welding quality. A particular case is the single-point temperature measurement, which is a robust approach when used in a production environment, although with limited capabilities (Wikle et al, 2001). Thermographic imaging (2D) is a better method which provides spatial and temporal resolution , but the availability of robust infrared cameras for the industrial environment is still limited.…”

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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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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“…Considering that we are dealing with bidimensional images, the application of area scanning demands a better computational structure (hardware and software), requiring a longer processing time (Venkatraman et al, 2006). On the other hand, the point monitoring technique demands little computational structure, requiring a shorter processing time, which makes it more appropriate for controlling in real time Wikle, 2001). A recent study presented the adaptive control of welding through the infrared monitoring of the weld pool using point sensors (Araújo, 2004).…”

Section: Infrared Monitoringmentioning

confidence: 99%

Sensors for Quality Control in Welding

Alfaro¹

2011

Arc Welding

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“…[10][11][12][13][14][15][16] IR sensors are used in robotics and automation, process control, remote sensing, and safety and security systems. More specifically, they have been used in simple object and proximity detection, 17 counting, 18 distance and depth monitoring, 19 floor sensing, position measurement, and control, 20,21 obstacle/collision avoidance, 22,23 and map building. 24 IR sensors are used in door detection and mapping of openings in walls, 25 as well as monitoring doors/ windows of buildings and vehicles, and ''light curtains'' for protecting an area.…”

Section: Introductionmentioning

confidence: 99%

Simultaneous extraction of geometry and surface properties of targets using simple infrared sensors

Aytaç

Barshan

2004

Opt. Eng

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Abstract. We investigate the use of low-cost infrared (IR) sensors for the simultaneous extraction of geometry and surface properties of commonly encountered features or targets in indoor environments, such as planes, corners, and edges. The intensity measurements obtained from such sensors are highly dependent on the location, geometry, and surface properties of the reflecting target in a way that cannot be represented by a simple analytical relationship, therefore complicating the localization and recognition process. We propose the use of angular intensity scans and present an algorithm to process them to determine the geometry and the surface type of the target and estimate its position. The method is verified experimentally with planes, 90-deg corners, and 90-deg edges covered with aluminum, white cloth, and Styrofoam packaging material. An average correct classification rate of 80% of both geometry and surface over all target types is achieved and targets are localized within absolute range and azimuth errors of 1.5 cm and 1.1 deg, respectively. Taken separately, the geometry and surface type of targets can be correctly classified with rates of 99 and 81%, respectively, which shows that the geometrical properties of the targets are more distinctive than their surface properties, and surface determination is the limiting factor. The method demonstrated shows that simple IR sensors, when coupled with appropriate processing, can be used to extract substantially more information than that for which such devices are commonly employed.

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Infrared sensing techniques for penetration depth control of the submerged arc welding process

Cited by 109 publications

References 8 publications

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

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

Sensors for Quality Control in Welding

Simultaneous extraction of geometry and surface properties of targets using simple infrared sensors

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