Multiphysics Modelling of Powder Coating of U-Profiles: Towards Simulation-based Optimization of Key-Performance Attributes by Variation of Powder-Parameters

Authors

  • G Boiger
  • B Siyahhan
  • AS Fallah
  • H Khawaja
  • M Moatamedi

DOI:

https://doi.org/10.21152/1750-9548.17.2.169

Abstract

Multiphysics 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. 

References

Weller, H.G.; Tabor, G.; Jasak, H.; Fureby, C. (1998). A tensorial approach to computational continuum mechanics using object-oriented techniques. Computers in Physics, 12(6), 620. https://doi.org/10.1063/1.168744

Boiger, G.; Boldrini, M.; Lienhard, V.; Siyahhan, B.; Khawaja, H.; Moatamedi, M. (2019). Multiphysics Eulerian-Lagrangian Electrostatic Particle Spray- And Deposition Model for OpenFoam® and KaleidoSim® Cloud-Platform (2020). International Journal of Multiphysics, 14(1), 1-15. https://doi.org/10.21152/1750-9548.14.1.1

Siyahhan, B.; Boldrini, M.; Hauri, S.; Reinke, N.; Boiger, G. (2018). Procedure for experimental data assessment for numerical solver validation in the context of model-based prediction of powder coating patterns (2019). International Journal of Multiphysics, 12(4), 373-392. https://doi.org/10.21152/1750-9548.12.4.373

Boiger, G. (2016). Characterization of particle-laden flows and deposition behavior in electrostatic fields. International Journal of Multiphysics, 10(2), 195-204(10). https://doi.org/10.21152/1750-9548.10.2.195

Boiger, G. (2016). Eulerian-LaGrangian model of particle-laden flows and deposition effects in electrostatic fields based on OpenFoam. International Journal of Multiphysics, 10(2), 177-194(8). https://doi.org/10.21152/1750-9548.10.2.177

Boiger, G., Sharman, D., Siyahhan, B., Lienhard, V., Boldrini, M., & Drew, D. (2021). A massive simultaneous cloud-computing platform for OpenFOAM. 9th OpenFOAM Conference, online, 19-20 October 2021. https://doi.org/10.21256/zhaw-24032.

Boiger, G., Sharman, D., & Drew, D. (2021). KaleidoSim: massive simultaneous cloud computing for multiphysics simulations. In Multiphysics 2021. International Conference of Multiphysics, Online, 9-10 December 2021. International Society of Multiphysics, pp. 29. ISSN (online) 2409-1669.

Boiger, G., Everitt, M., Sharman, D., & Boldrini, M. (2020). Massive simultaneous cloud computing (MSCC) for multiphysics-simulation applications. In Multiphysics 2020. International Conference of Multiphysics, Online, 11-12 December 2020. International Society of Multiphysics, pp. 59. ISSN (online) 2409-1669.

Boiger, G., Buff, V., Sharman, D., Boldrini, M., Lienhard, V., & Dominic, D. (2020). Simulation-based investigation of tar formation in after-treatment systems for biomass gasification. Biomass Conversion and Biorefinery, pp. 1-18. https://doi.org/10.1007/s13399-020-00915-7

Marmet, Ph., Holzer, L., Hocker, T., Boiger, G., Hilden, J., Reeb, S., & Fingerle, M. (2021). Generation of virtual three-phase structures based on Gaussian random fields: An important option for Digital Materials Design of solid oxide fuel cell electrodes. In GeoDict User Meeting 2021 Book of Abstracts (pp. 22). Math2Market.

Boiger, G., Mataln, M., & Brandstätter, W. (2009). Adaptive time stepping for explicit Euler implementation of spherical and non-spherical particle speed up. International Journal of Multiphysics, 3(3), 267-291(25). https://doi.org/10.1260/175095409788922301

Boiger, G. (2009). Development and verification of a large, Lagrangian (non-)spherical dirt particle and deposition model to simulate filtration processes using OpenFOAM® (PhD thesis). Montanuniversität Leoben, Austria. ICE Strömungsforschung GmbH.

Boiger, G., Mataln, M., & Brandstätter, W. (2009). Simulation of Particle Filtration Processes in Deformable Media, Part 3.2: Interaction modelling and solver verification of a non-spherical dirt particle solver. International Journal of Multiphysics, 3(4), 433-454(22). https://doi.org/10.1260/1750-9548.3.4.433

Boiger, G., Mataln, M., & Brandstätter, W. (2009). Simulation of Particle Filtration Processes in Deformable Media, Part 3.1: Basic concepts and particle-fluid force implementation of a non-spherical dirt particle solver. International Journal of Multiphysics, 3(4), 407-232(26). https://doi.org/10.1260/1750-9548.3.4.407

Boiger, G., Mataln, M., Brandstätter, W., & Gschaider, B. (2008). Simulation of Particle Filtration Processes in Deformable Media, Part 2: Large Particle Modelling. International Journal of Multiphysics, 2(2), 191-206(16). https://doi.org/10.1260/175095408785416938

Boiger, G., Khawaja, H., & Moatamedi, M. (2020). Chapter 5 - Introduction: Large, (non-)spherical particle modelling in the context of fluid filtration applications. In Multiphysics Modelling of Fluid-Particulate Systems (Elsevier Academic Press London). https://doi.org/10.1016/B978-0-12-818345-8.00005-6

Boiger, G., Khawaja, H., & Moatamedi, M. (2020). Chapter 6 - Methodology: Large (non-)spherical particle modelling in the context of fluid filtration applications. In Multiphysics Modelling of Fluid-Particulate Systems (Elsevier Academic Press London). https://doi.org/10.1016/B978-0-12-818345-8.00006-8

Boiger, G., Khawaja, H., & Moatamedi, M. (2020). Chapter 7 - Validation: Experimental and semi-analytical validation (in the context of Large (non-)spherical particle modelling for fluid filtration applications). In Multiphysics Modelling of Fluid-Particulate Systems. Elsevier Academic Press London. https://doi.org/10.1016/B978-0-12-818345-8.00007-X

Boiger, G., Khawaja, H., & Moatamedi, M. (2020). Chapter 8 - Application and results: Filter fibre engineering (in the context of Large (non-)spherical particle modelling for fluid filtration applications). In Multiphysics Modelling of Fluid-Particulate Systems. Elsevier Academic Press London. https://doi.org/10.1016/B978-0-12-818345-8.00008-1

Boiger, G., Khawaja, H. and Moatamedi, M. (2020) 'Chapter 9 - Conclusion and Vision (in the context of Large (non-)spherical particle modelling for fluid filtration applications)', in Multiphysics Modelling of Fluid-Particulate Systems. Elsevier Academic Press London, 2020, pp. 287-304. https://doi.org/10.1016/B978-0-12-818345-8.00009-3

Bouwman, M., Boiger, G. and Brandstätter, W. (2016) Multiphase simulations of a Lyocell process, Vol. 1. Saarbrücken: LAP Lambert Academic Publishing. ISBN 978-3-659-89583-8.

Du, Z., Wen, S., Wang, J., Yin, C., Yu, D. and Luo, J. (2016) 'The Review of Powder Coatings', Journal of Materials Science and Chemical Engineering, Vol. 04, pp.54-59. https://doi.org/10.4236/msce.2016.43007

Fortune Business Insights. (2022) 'Paints and Coatings Market Size, Share & Industry Analysis, By Resin (Epoxy, Acrylic, Polyester, Alkyd, PU, and Others), By Technology (Waterborne, Solventborne, Powder, and Others), By Application (Architectural, Automotive OEM, Marine, Coil, General Industrial, Protective Coatings, Automotive Refinish, and Others), and Regional Forecast, 2022-2029', Fortune Business Insights, [Online] Available at: https://www.fortunebusinessinsights.com/industry-reports/paints-and-coatings-market-101947 (Accessed: May 4, 2023).

Boiger, G., Boldrini, M. and Siyahhan, B. (2018) 'Enhancing the understanding of complex phenomena in powder coating, by applying Eulerian-Lagrangian simulation methodology', in Multiphysics 2018: International Conference of Multiphysics, Krakow, 13-14 December 2018, International Society of Multiphysics, pp. 26. ISSN (online) 2409-1669.

Boiger, G. K. (2018) 'Eliminating anomalies of CFD model results of the powder coating process by refining aerodynamic flow-particle interaction and by introducing a dynamic particle charging model', in Scientific tracks & abstracts: Day 1, 3rd International Conference on Fluid Dynamics & Aerodynamics, Berlin, October 25-26, 2018, London: conferenceseries.com. https://doi.org/10.4172/2168-9873-C1-017

Bariska, A., Reinke, N. (2011) 'Berührungslose thermische Schichtprüfung', Swiss Engineering STZ, 57(16), School of Engineering, Zurich University of Applied Sciences (ZHAW), Winterthur, Switzerland.

Boiger, G. and Siyahhan, B. (2022) 'Simulation-based Study of the Impact of Mean Powder Particle Diameters on Key-Performance-Attributes of the Powder Coating of U-Profiles Multiphase CFD', in Proceedings of the 20th International Conference of Numerical Analysis and Applied Mathematics (ICNAAM 2022), Heraklion, Crete, Greece, 19-25 September 2022, Accepted Manuscript Conference Proceedings.

Published

2023-06-13

How to Cite

Boiger, G., Siyahhan, B., Fallah, A., Khawaja, H., & 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

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