Publikationstyp: Konferenz: Sonstiges
Art der Begutachtung: Peer review (Abstract)
Titel: A dynamic Eulerian-Lagrangian solver for the optimization of powder coating processes
Autor/-in: Siyahhan, Bercan
Boiger, Gernot Kurt
et. al: No
Tagungsband: Multiphysics 2020
Seite(n): 40
Angaben zur Konferenz: International Conference of Multiphysics, Online, 11-12 December 2020
Erscheinungsdatum: 11-Dez-2020
Verlag / Hrsg. Institution: International Society of Multiphysics
ISSN: 2409-1669
2409-7527
Sprache: Englisch
Schlagwörter: Eulerian-Lagrangian; Particle-dynamics; CFD; OpenFoam; Coating; MSCC
Fachgebiet (DDC): 530: Physik
Zusammenfassung: In powder coating, it is usually desired to coat the substrate as evenly as possible to the specified thickness, using the least amount of powder. To achieve this goal, the coating pistol is kept mobile with respect to the substrate. In this study, an existing OpenFOAM Eulerian-Lagrangian computational fluid dynamics solver, extensively validated for static configurations, has been further developed to simulate the coating process dynamically, incorporating the motion of the coating pistol with respect to the substrate. This makes the simulation of the powder coating process in real time possible. For the dynamic motion, a new library for generalized periodic translational and rotational motions has been compiled in OpenFOAM. Furthermore, the injection behavior of the particles has been updated to comply with the motion of the pistol seamlessly. These updates allow the simulation of multiple pistols with varying orientations and time dependent injection profiles, with the ultimate goal of coating process optimization based on given types of substrates. The results indicate that the vortex dynamics within the coating chamber play a significant role in the dispersion of the particle cloud, and this effect cannot be captured by a single steady state simulation. However, the validity of the final coating pattern with the dynamic solver needs to be established. Even though the ultimate validation will come from an experimental campaign, it is essential to form an understanding of the behavior of the empirical coefficients, governing certain physical interactions, within the solver. Therefore, a parametric study is performed to construct such a basis.
URI: https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/5fd1bf288185f4776a0d1807/1607581490712/MULTIPHYSICS+2020+-+Abstracts.pdf
https://digitalcollection.zhaw.ch/handle/11475/21170
Volltext Version: Publizierte Version
Lizenz (gemäss Verlagsvertrag): Lizenz gemäss Verlagsvertrag
Departement: School of Engineering
Organisationseinheit: Institute of Computational Physics (ICP)
Publiziert im Rahmen des ZHAW-Projekts: Experimentaldesign für Simulationsläufe mittels Massivem Simultanem Cloud Computing (MSCC)
Enthalten in den Sammlungen:Publikationen School of Engineering

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Siyahhan, B., & Boiger, G. K. (2020). A dynamic Eulerian-Lagrangian solver for the optimization of powder coating processes [Conference presentation]. Multiphysics 2020, 40. https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/5fd1bf288185f4776a0d1807/1607581490712/MULTIPHYSICS+2020+-+Abstracts.pdf
Siyahhan, B. and Boiger, G.K. (2020) ‘A dynamic Eulerian-Lagrangian solver for the optimization of powder coating processes’, in Multiphysics 2020. International Society of Multiphysics, p. 40. Available at: https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/5fd1bf288185f4776a0d1807/1607581490712/MULTIPHYSICS+2020+-+Abstracts.pdf.
B. Siyahhan and G. K. Boiger, “A dynamic Eulerian-Lagrangian solver for the optimization of powder coating processes,” in Multiphysics 2020, Dec. 2020, p. 40. [Online]. Available: https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/5fd1bf288185f4776a0d1807/1607581490712/MULTIPHYSICS+2020+-+Abstracts.pdf
SIYAHHAN, Bercan und Gernot Kurt BOIGER, 2020. A dynamic Eulerian-Lagrangian solver for the optimization of powder coating processes. In: Multiphysics 2020 [online]. Conference presentation. International Society of Multiphysics. 11 Dezember 2020. S. 40. Verfügbar unter: https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/5fd1bf288185f4776a0d1807/1607581490712/MULTIPHYSICS+2020+-+Abstracts.pdf
Siyahhan, Bercan, and Gernot Kurt Boiger. 2020. “A Dynamic Eulerian-Lagrangian Solver for the Optimization of Powder Coating Processes.” Conference presentation. In Multiphysics 2020, 40. International Society of Multiphysics. https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/5fd1bf288185f4776a0d1807/1607581490712/MULTIPHYSICS+2020+-+Abstracts.pdf.
Siyahhan, Bercan, and Gernot Kurt Boiger. “A Dynamic Eulerian-Lagrangian Solver for the Optimization of Powder Coating Processes.” Multiphysics 2020, International Society of Multiphysics, 2020, p. 40, https://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/5fd1bf288185f4776a0d1807/1607581490712/MULTIPHYSICS+2020+-+Abstracts.pdf.


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