Process Sensor Systems for Laser Beam Welding

Dorsch, Friedhelm; Braun, Holger; Keßler, Steffen; Magg, Winfried; Pfitzner, Dieter; Plaßwich, Sven

doi:10.1002/latj.201290033

Cited by 12 publications

(6 citation statements)

References 5 publications

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“…Among the others, it was concluded that the full-penetration hole was clearly observable and the weld pool dimensions were successfully correlated with those of the penetration. The quality assessment of laser welding with the use of camera-based monitoring systems, both in NIR and VIS spectral range, is also the subject of the paper in [48]. The classification of the welds was performed on the basis of various welding faults.…”

Section: Combined Vision and Thermal Image Processing Techniquesmentioning

confidence: 99%

Quality assessment in laser welding: a critical review

Stavridis

Papacharalampopoulos

Stavropoulos

2017

Int J Adv Manuf Technol

176

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Quality assessment methods and techniques for laser welding have been developed both in-and post-process. This paper summarizes and presents relevant studies being classified according to the technology implemented (vision, camera, acoustic emissions, ultrasonic testing (UT), eddy current technique (ECT)) for the quality inspection. Furthermore, the current review aims to map the existing modeling approaches used to correlating measured weld characteristics and defects with the process parameters. Research gaps and implications of the quality assessment in laser welding are also described, and a future outlook of the research in the particular field is provided.

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Section: Combined Vision and Thermal Image Processing Techniquesmentioning

confidence: 99%

Quality assessment in laser welding: a critical review

Stavridis

Papacharalampopoulos

Stavropoulos

2017

Int J Adv Manuf Technol

176

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“…Another visual sensor detects the formation feature of metallic vapor both on top and bottom with the aid of a narrow-band optical filter (350-750 nm). The two photodiodes are adopted for a pre-, in-and post-monitoring for laser welding; b laser head combining with two visual sensors which are Vis-sensor and NIR-sensor; c image obtained from different sensors, upper is image with illumination, middle is NIR image and lower is coloured NIR image for visualisation purpose 14 Multiple visual sensing laser head 91,93 detecting the intensity of visible light emission and laser reflection. The five features extracted from photodiode and visual sensors are shown in Fig.…”

Section: Integration Of Photodiode Sensing and Visual Sensingmentioning

confidence: 99%

“…91, 92 Meanwhile, the laser head is also equipped with auxiliary illumination source to help to carry out the monitoring over pre-process, in-process and post-process stages. 93 The multi-sensor approach has the advantage of obtaining rich information about different welding statuses, while its drawback is the limited sampling speed of the visual sensor. The frame rate of ordinary industrial camera is 100–2000 f/s, and high speed camera is too expensive to be used in industrial manufacturing.…”

Section: Advanced Research Of Laser Welding Monitoringmentioning

confidence: 99%

Review of laser welding monitoring

You

Gao

Katayama

2014

Science and Technology of Welding and Joining

187

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Laser welding, as a highly efficient processing technology, has been widely applied to manufacturing industry. This paper makes an overview on real time monitoring of laser welding. It begins with a detailed introduction to six typical sensors (photodiode, visual, spectrometer, acoustical sensor, pyrometer, plasma charge sensor) in laser welding detection. Then it makes a review on multi-sensor fusion technology in both laser welding monitoring and adaptive control. Last, subjects for future research concerning welding monitoring and control have been proposed. The paper concludes that the real-time monitoring of laser welding can provide a great amount of valid information about welding status to help effectively identify weld defects and realize adaptive control.

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“…Geometry scanning during the post-processing phase allows one to realise the tasks of inspection of product quality, e.g. the face of weld [9].…”

Section: Fig1 Laser Process Emissions and Sensing Stagesmentioning

confidence: 99%

Examples of Laser Processing Control with Machine Vision Feedback

Reiner¹,

Cieszyński²,

Sidorowicz³

et al. 2014

SSP

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Manufacturing technologies using laser radiation energy are gaining increasingly new applications. It results from their numerous advantages, most of all, from the selectiveness of a laser beam within the spatial and temporal domain. Although the laser beam is a very precise tool, it restricts the tolerances of component preparation. If such increased requirements drive previous processes, it will result in the increase of manufacturing costs of these parts. Hence, solutions are sought in the mechatronics paradigm, which corrects mechanical imperfections by means of electronics and software. Examples of the above solutions are follow-up and adaptive control systems. The paper presents examples of developed and implemented control systems of laser manufacturing processes with machine vision feedback. They include remote cutting with CAM-MV and laser cladding with a thermal or geometric closed-loop.

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Process Sensor Systems for Laser Beam Welding

Cited by 12 publications

References 5 publications

Quality assessment in laser welding: a critical review

Quality assessment in laser welding: a critical review

Review of laser welding monitoring

Examples of Laser Processing Control with Machine Vision Feedback

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