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Abstract
The P1 approximation is a computationally efficient model for thermal radiation. Here, we present a P1 formulation in the context of the combined computational fluid dynamics and discrete element method (CFD-DEM), including closures for dependent scattering and coarse-graining. Using available analytical and semi-analytical solutions, we find agreement for steady-state and transient quantities in size-disperse systems. Heat flux is identified as the most sensitive quantity to predict, displaying unphysical spatial oscillations. These oscillations are due to a temperature slip at the locations of abrupt change in solid fraction. We propose two techniques that mitigate this effect: smoothing of the radiative properties, and pseudo-scattering. Furthermore, using up to a million times enlarged particles, we demonstrate practically limitless compatibility with coarse-graining. Finally, we compare predictions made with our code to experimental data for a pebble bed under vacuum conditions, and in presence of nitrogen. We find that a carefully calibrated simulation can replicate trends observed in experiments, with relative temperature error of less than 10%.
Originalsprache | englisch |
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Seiten (von - bis) | 25-47 |
Seitenumfang | 23 |
Fachzeitschrift | Particuology |
Jahrgang | 82 |
Frühes Online-Datum | 1 Feb. 2023 |
DOIs | |
Publikationsstatus | Veröffentlicht - Nov. 2023 |
ASJC Scopus subject areas
- Allgemeine chemische Verfahrenstechnik
- Allgemeine chemische Verfahrenstechnik
- Allgemeine Materialwissenschaften
Fields of Expertise
- Information, Communication & Computing
- Mobility & Production
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EU - MatheGram - Multiskalenanalyse des thermomechanischen Verhaltens granularer Materialien
Khinast, J., Radl, S. & Dhakal, R.
1/01/19 → 30/06/23
Projekt: Forschungsprojekt