Camera based process monitoring of the CO2 and Nd:YAG laser welding process: Experiences from applications in the automotive industry

Kogel‐Hollacher, Markus; Dietz, Christoph; Nicolay, Thomas; Kattwinkel, Axel; Herzinger, Thomas; Kessler, Berthold; Schürmann, Bert; Schmidt, Matthias; Müller-Borhanian, Jürgen

doi:10.2351/1.5060209

Cited by 3 publications

(2 citation statements)

References 1 publication

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“…About the project Many industries are using laser welding processes in their manufacturing lines [3]. Because no camera based fast process control exists, there is no adequate possibility of correcting a process after it has been started.…”

Section: Introductionmentioning

confidence: 99%

Feature extraction in laser welding processes

Geese

Tetzlaff

Carl

et al. 2008

2008 11th International Workshop on Cellular Neural Networks and Their Applications

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There is a rapidly growing demand for laser welding in a wide variety of manufacturing processes ranging from automobile production to precision mechanics. Up to now, the high dynamics of the process has made it impossible to construct a camera based real time quality and process control. Since new pixel parallel architectures are existing, which are now available in systems such as the ACE16k, Q- Eye, and SCAMP-3 (P. Dudek et al., 2006), one has become able to implement a real time laser welding processing. In this paper we will propose a feature extraction algorithm, running at a frame rate of 10 kHz, for a laser welding process. The performance of the algorithm has been studied in detail. In particular, it has been implemented on an Eye-RIS v.1.1 system and has been applied to laser welding processes

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Section: Introductionmentioning

confidence: 99%

Feature extraction in laser welding processes

Geese

Tetzlaff

Carl

et al. 2008

2008 11th International Workshop on Cellular Neural Networks and Their Applications

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“…Only indirect or optical measurements are possible. From optical imaging, certain aspects of the melt pool generation and also dynamics might be extractable [ 10 ]. However, obtaining 3D information from a 2D image is always limited, especially if the viewing angle is restricted.…”

Section: Introductionmentioning

confidence: 99%

2D and 3D Triangulation Are Suitable In Situ Measurement Tools for High-Power Large Spot Laser Penetration Processes to Visualize Depressions and Protrusions before Perforating

et al. 2022

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During laser penetration, the irradiated samples form a melt pool before perforation. Knowledge of the dynamics of this melt pool is of interest for the correct physical description of the process and leads to improved simulations. However, a direct investigation, especially at the location of high-power laser interaction with large spot diameters in the centimeter range is missing until now. Here, the applicability of 2D triangulation for surface topology observations is demonstrated. With the designed bidirectional 2D triangulation setup, the material cross-section is measured by profile detection at the front and back side. This allows a comprehensive description of the penetration process to be established, which is important for a detailed explanation of the process. Specific steps such as surface melting, indentations, protrusions during melt pool development and their dynamics, and the perforation are visualized, which were unknown until now. Furthermore, a scanning 3D triangulation setup is developed to obtain more information about the entire melt pool at the front side, and not just a single intersection line. The measurements exhibit a mirror-symmetric melt pool and the possibility to extrapolate from the central profile to the outer regions in most cases.

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Results on process control for YAG steel welding

Guiraud¹,

Aubry²

2005

International Congress on Applications of Lasers &Amp; Electro-Optics

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Camera based process monitoring of the CO2 and Nd:YAG laser welding process: Experiences from applications in the automotive industry

Cited by 3 publications

References 1 publication

Feature extraction in laser welding processes

Feature extraction in laser welding processes

2D and 3D Triangulation Are Suitable In Situ Measurement Tools for High-Power Large Spot Laser Penetration Processes to Visualize Depressions and Protrusions before Perforating

Results on process control for YAG steel welding

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