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Pixelwise high-temperature calibration for in-situ temperature measuring in powder bed fusion of metal with laser beam

  • High-temperature calibration methods in additive manufacturing involve the use of advanced techniques to accurately measure and control the temperature of the build material during the additive manufacturing process. Infrared cameras, blackbody radiation sources and non-linear optimization algorithms are used to correlate the temperature of the material with its emitted thermal radiation. This is essential for ensuring the quality and repeatability of the final product. This paper presents the calibration procedure of an imaging system for in-situ measurement of absolute temperatures and temperature gradients during powder bed fusion of metal with laser beam (PBF-LB/M) in the temperature range of 500 K–1500 K. It describes the design of the optical setup to meet specific requirements in this application area as well as the procedure for accounting the various factors influencing the temperature measurement. These include camera-specific effects such as varying spectral sensitivities of the individual pixels of the sensor as well as influences of the exposure time and the exposed sensor area. Furthermore, influences caused by the complex optical path, such as inhomogeneous transmission properties of the galvanometer scanner as well as angle-dependent transmission properties of the f-theta lens were considered. A two-step fitting algorithm based on Planck's law of radiation was applied to best represent the correlation. With the presented procedure the calibrated thermography system provides the ability to measure absolute temperatures under real process conditions with high accuracy.

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Metadaten
Author:Dennis HöfflinORCiD, Christian SauerORCiD, Andreas SchifflerORCiD, Jochen ManaraORCiD, Jürgen HartmannORCiD
DOI:https://doi.org/10.1016/j.heliyon.2024.e28989
ISSN:2405-8440
Parent Title (English):Heliyon
Publisher:Elsevier BV
Document Type:Article
Language:English
Year of publication:2024
Release Date:2024/05/22
Volume:10
Issue:7
Article Number:e28989
Institutes and faculty:Fakultäten / Fakultät Maschinenbau
Institute / Institut Digital Engineering (IDEE)
Open access colour:Gold
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