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dc.contributor.authorSiyahhan, Bercan-
dc.contributor.authorBoiger, Gernot Kurt-
dc.date.accessioned2021-01-07T12:32:25Z-
dc.date.available2021-01-07T12:32:25Z-
dc.date.issued2020-12-11-
dc.identifier.issn2409-1669de_CH
dc.identifier.issn2409-7527de_CH
dc.identifier.urihttps://static1.squarespace.com/static/5c9f89c101232c1d41297d67/t/5fd1bf288185f4776a0d1807/1607581490712/MULTIPHYSICS+2020+-+Abstracts.pdfde_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/21170-
dc.description.abstractIn 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.de_CH
dc.language.isoende_CH
dc.publisherInternational Society of Multiphysicsde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectEulerian-Lagrangiande_CH
dc.subjectParticle-dynamicsde_CH
dc.subjectCFDde_CH
dc.subjectOpenFoamde_CH
dc.subjectCoatingde_CH
dc.subjectMSCCde_CH
dc.subject.ddc530: Physikde_CH
dc.titleA dynamic Eulerian-Lagrangian solver for the optimization of powder coating processesde_CH
dc.typeKonferenz: Sonstigesde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Computational Physics (ICP)de_CH
zhaw.conference.detailsInternational Conference of Multiphysics, Online, 11-12 December 2020de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.start40de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewPeer review (Abstract)de_CH
zhaw.title.proceedingsMultiphysics 2020de_CH
zhaw.webfeedVerfahrenstechnikde_CH
zhaw.funding.zhawExperimentaldesign für Simulationsläufe mittels Massivem Simultanem Cloud Computing (MSCC)de_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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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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