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Please use this identifier to cite or link to this item: https://doi.org/10.21256/zhaw-29015
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dc.contributor.authorBoiger, Gernot-
dc.contributor.authorSiyahhan, Bercan-
dc.contributor.authorFallah, Arash-
dc.contributor.authorKhawaja, Hassan Abbas-
dc.contributor.authorMoatamedi, Mojtaba-
dc.date.accessioned2023-11-01T16:40:54Z-
dc.date.available2023-11-01T16:40:54Z-
dc.date.issued2023-06-13-
dc.identifier.issn1750-9548de_CH
dc.identifier.issn2048-3961de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/29015-
dc.description.abstractMultiphysics simulation software has been developed to predict the key performance attributes of industrial powder coating applications based on applied process-parameter settings. The software is a Eulerian-Lagrangian finite-volume Multiphysics solver based on OpenFOAM, capable of modelling mass transfer effects between powder-coating pistols and electrically grounded metallic substrates. It considers various factors such as fluid dynamics of process airflow, coating-particle dynamics, particle-substrate interactions, and particle charging mechanisms within the corona. The software is fully compatible with Massive Simultaneous Cloud Computing technology, allowing hundreds of simulated coating scenarios to be computed simultaneously. Experimental validation efforts have been conducted, indicating a high degree of practical relevance of the technology. The current simulation study aims to demonstrate the potential of the simulation software for adjusting coating lines and optimizing powder coating of U-profiles. Specifically, the study focuses on optimizing the key-performance-attributes of the powder coating application with respect to varying material parameters of the applied powder, namely mean particle diameter, standard deviation of Gaussian particle size distribution, and powder particle density. The software predicts and visualizes coating patterns, coating efficiencies, and the batch-based standard deviation of coating thickness on a U-shaped metallic substrate, resulting in concrete and optimized powder settings. The presented results and the applied software are highly relevant for powder material suppliers.de_CH
dc.language.isoende_CH
dc.publisherInternational Society of Multiphysicsde_CH
dc.relation.ispartofThe International Journal of Multiphysicsde_CH
dc.rightshttp://creativecommons.org/licenses/by/4.0/de_CH
dc.subjectEuler-Lagrangede_CH
dc.subjectSimulationde_CH
dc.subjectCFDde_CH
dc.subjectMultiphysicsde_CH
dc.subjectCoatingde_CH
dc.subjectParticle laden flowde_CH
dc.subjectSimulationde_CH
dc.subjectPulverbeschichtungde_CH
dc.subject.ddc005: Computerprogrammierung, Programme und Datende_CH
dc.subject.ddc530: Physikde_CH
dc.titleMultiphysics modelling of powder coating of U-profiles : towards simulation-based optimization of key-performance attributes by variation of powder-parametersde_CH
dc.typeBeitrag in wissenschaftlicher Zeitschriftde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitute of Computational Physics (ICP)de_CH
dc.identifier.doi10.21152/1750-9548.17.2.169de_CH
dc.identifier.doi10.21256/zhaw-29015-
zhaw.funding.euNode_CH
zhaw.issue2de_CH
zhaw.originated.zhawYesde_CH
zhaw.pages.end190de_CH
zhaw.pages.start169de_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.volume17de_CH
zhaw.publication.reviewPeer review (Publikation)de_CH
zhaw.webfeedMultiphysics Modelingde_CH
zhaw.funding.zhawGeoCloud – Simulation Software for Cloud-based Digital Microstructure Design of New Fuel Cell Materialsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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Boiger, G., Siyahhan, B., Fallah, A., Khawaja, H. A., & Moatamedi, M. (2023). Multiphysics modelling of powder coating of U-profiles : towards simulation-based optimization of key-performance attributes by variation of powder-parameters. The International Journal of Multiphysics, 17(2), 169–190. https://doi.org/10.21152/1750-9548.17.2.169
Boiger, G. et al. (2023) ‘Multiphysics modelling of powder coating of U-profiles : towards simulation-based optimization of key-performance attributes by variation of powder-parameters’, The International Journal of Multiphysics, 17(2), pp. 169–190. Available at: https://doi.org/10.21152/1750-9548.17.2.169.
G. Boiger, B. Siyahhan, A. Fallah, H. A. Khawaja, and M. Moatamedi, “Multiphysics modelling of powder coating of U-profiles : towards simulation-based optimization of key-performance attributes by variation of powder-parameters,” The International Journal of Multiphysics, vol. 17, no. 2, pp. 169–190, Jun. 2023, doi: 10.21152/1750-9548.17.2.169.
BOIGER, Gernot, Bercan SIYAHHAN, Arash FALLAH, Hassan Abbas KHAWAJA und Mojtaba MOATAMEDI, 2023. Multiphysics modelling of powder coating of U-profiles : towards simulation-based optimization of key-performance attributes by variation of powder-parameters. The International Journal of Multiphysics. 13 Juni 2023. Bd. 17, Nr. 2, S. 169–190. DOI 10.21152/1750-9548.17.2.169
Boiger, Gernot, Bercan Siyahhan, Arash Fallah, Hassan Abbas Khawaja, and Mojtaba Moatamedi. 2023. “Multiphysics Modelling of Powder Coating of U-Profiles : Towards Simulation-Based Optimization of Key-Performance Attributes by Variation of Powder-Parameters.” The International Journal of Multiphysics 17 (2): 169–90. https://doi.org/10.21152/1750-9548.17.2.169.
Boiger, Gernot, et al. “Multiphysics Modelling of Powder Coating of U-Profiles : Towards Simulation-Based Optimization of Key-Performance Attributes by Variation of Powder-Parameters.” The International Journal of Multiphysics, vol. 17, no. 2, June 2023, pp. 169–90, https://doi.org/10.21152/1750-9548.17.2.169.


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