journal article·2022-11-01

High speed melt flow monitoring and development of an image processing algorithm for laser fusion cutting

Max Schleier, Cemal Esen, Ralf Hellmann

Journal of Laser Applications· Volume 34· Issue 4
Publisher page

Abstract

This contribution presents high-speed camera monitoring of melt pool dynamics for steel during laser fusion cutting and compares the images with recordings in aluminum. The experiments are performed by a 4 kW multimode fiber laser with an emission wavelength of 1070 nm. To visualize the thermal radiation from the process zone during the cutting process, the kerf is captured at sample rates of up to 170 000 frames per second without external illumination with a spectral response between 400 and 700 nm, allowing measurements of the melt flow dynamics from geometric image features. The dependencies of the melt flow dynamics on laser processing parameters, such as feed rate, gas pressure, and laser power, can be evaluated. The monitoring system is placed both off-axis and mounted to a conventional cutting head, with the monitoring path aligned to the processing laser for a coaxial and lateral view of the cut kerf. The measured signal characteristics of the images captured from the melt pool are examined in the visible spectral range of the emitted thermal radiation from the process zone. Moreover, a specifically developed image processing algorithm is developed that process and analyze the captured images and extract geometric information for a measurement of the melt flow.
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Research context

OpenAlex topics: Laser Material Processing Techniques · Welding Techniques and Residual Stresses · Thermography and Photoacoustic Techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Applied Laser and Photonics Group, University of Applied Science Aschaffenburg 1 , Aschaffenburg, BY 63743, Germany

Applied Laser Technologies, Ruhr-University Bochum 2 , Bochum, NW 44801, Germany

References (12)

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