EPJ Web of Conferences · 2018 · 150 citations · 13 references
ComputingComputational EngineeringMechanical EngineeringComputational Fluid DynamicsComputational Heat TransferFluid DynamicsHeat Transfer AnalysisHeat Transfer ModelingMesh GenerationMesh ProcessingHexahedral ElementsHexahedral MeshingNumerical DiffusionNumerical ModellingPolyhedral MeshingTetrahedral ElementsTetrahedral Mesh GenerationTetrahedral Meshing
Computational methods have been widely applied in conjugate heat transfer analysis. The very first and crucial step in such research is the meshing process which consists in dividing the analysed geometry into numerous small control volumes (cells). In Computational Fluid Dynamics (CFD) applications it is desirable to use the hexahedral cells as the resulting mesh is characterized by low numerical diffusion. Unfortunately generating such mesh can be a very time-consuming task and in case of complicated geometry - it may not be possible to generate cells of good quality. Therefore tetrahedral cells have been implemented into commercial pre-processors. Their advantage is the ease of its generation even in case of very complex geometry. On the other hand tetrahedrons cannot be stretched excessively without decreasing the mesh quality factor, so significantly larger number of cells has to be used in comparison to hexahedral mesh in order to achieve a reasonable accuracy. Moreover the numerical diffusion of tetrahedral elements is significantly higher. Therefore the polyhedral cells are proposed within the paper in order to combine the advantages of hexahedrons (low numerical diffusion resulting in accurate solution) and tetrahedrons (rapid semi-automatic generation) as well as to overcome the disadvantages of both the above mentioned mesh types. The major benefit of polyhedral mesh is that each individual cell has many neighbours, so gradients can be well approximated. Polyhedrons are also less sensitive to stretching than tetrahedrons which results in better mesh quality leading to improved numerical stability of the model. In addition, numerical diffusion is reduced due to mass exchange over numerous faces. This leads to a more accurate solution achieved with a lower cell count. Therefore detailed comparison of numerical modelling results concerning conjugate heat transfer using tetrahedral and polyhedral meshes is presented in the paper.
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Martin Spiegel, Thomas Redel, Y. Jonathan Zhang et al. · Computer Methods in Biomechanics & Biomedical Engineering · 2010 · 160 citations
Computing, Computational Engineering, Computational Fluid Dynamics +16
Marcin Sosnowski, Jarosław Krzywański, Renata Gnatowska · E3S Web of Conferences · 2017 · 100 citations · Full text
Engineering, Chemical Engineering, Computational Engineering +16