From μCT data to CFD: an open-source workflow for engineering applications
The generation of high-quality volume meshes out of µCT data can be a challenging task that is mandatory to perform CFD simulations of fluid flows within or around scanned objects. Despite the growing relevance of CT-based CFD simulations, there is still a lack of a standardized, free-to-use workflo...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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Taylor & Francis Group
2022-12-01
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| Series: | Engineering Applications of Computational Fluid Mechanics |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/19942060.2022.2109758 |
| _version_ | 1811282096495263744 |
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| author | Kevin Kuhlmann Christoph Sinn Judith Marie Undine Siebert Gregor Wehinger Jorg Thöming Georg R. Pesch |
| author_facet | Kevin Kuhlmann Christoph Sinn Judith Marie Undine Siebert Gregor Wehinger Jorg Thöming Georg R. Pesch |
| author_sort | Kevin Kuhlmann |
| collection | DOAJ |
| description | The generation of high-quality volume meshes out of µCT data can be a challenging task that is mandatory to perform CFD simulations of fluid flows within or around scanned objects. Despite the growing relevance of CT-based CFD simulations, there is still a lack of a standardized, free-to-use workflow. In this work, an open-source based workflow is presented, which covers all steps from the CT image stack to a volume mesh in the end. The software packages ImageJ, ParaView, and Blender are used for surface reconstruction and processing of µCT data; resulting meshes are evaluated regarding geometric parameters, surface fidelity, and used memory. For volume meshing, the mesh generator snappyHexMesh implemented in OpenFOAM is used. A detailed description of this workflow is provided in the Supplementary Materials. We demonstrate how potential pitfalls and shortcomings can be avoided and how surface smoothing is especially important to preserve the surface area of scanned objects. We use CT data of a 10 ppi open cell foam to illustrate that data decimation can reduce the required time for the volume meshing by up to 45% and RAM up to 75%. The resulting meshes are used to simulate flow fields and heat transport with a surface heat source. The resulting temperature fields show that differences in the surface area and recesses in an unsmoothed mesh can affect the outcome of heat transport simulations, highly relevant for reactive CFD simulations. The results highlight the quality of our workflow’s outcome, which can help engineers that rely on CT reconstruction processes, also for other applications. |
| first_indexed | 2024-04-13T01:46:43Z |
| format | Article |
| id | doaj.art-a8dca7e3d6324f3c94eca2d54d46597e |
| institution | Directory Open Access Journal |
| issn | 1994-2060 1997-003X |
| language | English |
| last_indexed | 2024-04-13T01:46:43Z |
| publishDate | 2022-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | Engineering Applications of Computational Fluid Mechanics |
| spelling | doaj.art-a8dca7e3d6324f3c94eca2d54d46597e2022-12-22T03:08:01ZengTaylor & Francis GroupEngineering Applications of Computational Fluid Mechanics1994-20601997-003X2022-12-011611706172310.1080/19942060.2022.2109758From μCT data to CFD: an open-source workflow for engineering applicationsKevin Kuhlmann0Christoph Sinn1Judith Marie Undine Siebert2Gregor Wehinger3Jorg Thöming4Georg R. Pesch5Chemical Process Engineering, University of Bremen, Bremen, GermanyChemical Process Engineering, University of Bremen, Bremen, GermanyChair of Magnetofluiddynamics, Measuring and Automation Technology, TU Dresden, Dresden, GermanyInstitute of Chemical and Electrochemical Process Engineering, Clausthal University of Technology, Clausthal-Zellerfeld, GermanyChemical Process Engineering, University of Bremen, Bremen, GermanyChemical Process Engineering, University of Bremen, Bremen, GermanyThe generation of high-quality volume meshes out of µCT data can be a challenging task that is mandatory to perform CFD simulations of fluid flows within or around scanned objects. Despite the growing relevance of CT-based CFD simulations, there is still a lack of a standardized, free-to-use workflow. In this work, an open-source based workflow is presented, which covers all steps from the CT image stack to a volume mesh in the end. The software packages ImageJ, ParaView, and Blender are used for surface reconstruction and processing of µCT data; resulting meshes are evaluated regarding geometric parameters, surface fidelity, and used memory. For volume meshing, the mesh generator snappyHexMesh implemented in OpenFOAM is used. A detailed description of this workflow is provided in the Supplementary Materials. We demonstrate how potential pitfalls and shortcomings can be avoided and how surface smoothing is especially important to preserve the surface area of scanned objects. We use CT data of a 10 ppi open cell foam to illustrate that data decimation can reduce the required time for the volume meshing by up to 45% and RAM up to 75%. The resulting meshes are used to simulate flow fields and heat transport with a surface heat source. The resulting temperature fields show that differences in the surface area and recesses in an unsmoothed mesh can affect the outcome of heat transport simulations, highly relevant for reactive CFD simulations. The results highlight the quality of our workflow’s outcome, which can help engineers that rely on CT reconstruction processes, also for other applications.https://www.tandfonline.com/doi/10.1080/19942060.2022.2109758Open-cell foamperiodic open-cell structuresurface reconstructionvolume meshingOpenFOAM |
| spellingShingle | Kevin Kuhlmann Christoph Sinn Judith Marie Undine Siebert Gregor Wehinger Jorg Thöming Georg R. Pesch From μCT data to CFD: an open-source workflow for engineering applications Engineering Applications of Computational Fluid Mechanics Open-cell foam periodic open-cell structure surface reconstruction volume meshing OpenFOAM |
| title | From μCT data to CFD: an open-source workflow for engineering applications |
| title_full | From μCT data to CFD: an open-source workflow for engineering applications |
| title_fullStr | From μCT data to CFD: an open-source workflow for engineering applications |
| title_full_unstemmed | From μCT data to CFD: an open-source workflow for engineering applications |
| title_short | From μCT data to CFD: an open-source workflow for engineering applications |
| title_sort | from μct data to cfd an open source workflow for engineering applications |
| topic | Open-cell foam periodic open-cell structure surface reconstruction volume meshing OpenFOAM |
| url | https://www.tandfonline.com/doi/10.1080/19942060.2022.2109758 |
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