001     885994
005     20210130010557.0
020 _ _ |a 978-981-15-6715-5
024 7 _ |a 2128/26022
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024 7 _ |a altmetric:92919879
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037 _ _ |a FZJ-2020-04218
041 _ _ |a English
100 1 _ |a Lintermann, Andreas
|0 P:(DE-Juel1)165948
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|e Corresponding author
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245 _ _ |a Computational Meshing for CFD Simulations
260 _ _ |a Singapore
|c 2020
|b Springer Nature Singapore Pte Ltd. 2021
295 1 0 |a Clinical and Biomedical Engineering in the Human Nose - A Computational Fluid Dynamics Approach
300 _ _ |a 85-115
336 7 _ |a BOOK_CHAPTER
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336 7 _ |a Book Section
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336 7 _ |a bookPart
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336 7 _ |a INBOOK
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336 7 _ |a Output Types/Book chapter
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336 7 _ |a Contribution to a book
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490 0 _ |a Biological and Medical Physics, Biomedical Engineering
500 _ _ |a 10.1007/978-981-15-6716-2_6
520 _ _ |a In CFD modelling, small cells or elements are created to fill the volume to simulate the flow in. They constitute a mesh where each cell represents a discrete space that represents the flow locally. Mathematical equations that represent the flow physics are then applied to each cell of the mesh. Generating a high quality mesh is extremely important to obtain reliable solutions and to guarantee numerical stability. This chapter begins with a basic introduction to a typical workflow and guidelines for generating high quality meshes, and concludes with some more advanced topics, i.e., how to generate meshes in parallel, a discussion on mesh quality, and examples on the application of lattice-Boltzmann methods to simulate flow without any turbulence modelling on highly-resolved meshes.
536 _ _ |a 511 - Computational Science and Mathematical Methods (POF3-511)
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|f POF III
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856 4 _ |y OpenAccess
|u https://juser.fz-juelich.de/record/885994/files/2020_Lintermann_ClinBiomedEng_Ch6.pdf
856 4 _ |y OpenAccess
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910 1 _ |a Forschungszentrum Jülich
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|v Computational Science and Mathematical Methods
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914 1 _ |y 2020
915 _ _ |a OpenAccess
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920 _ _ |l yes
920 1 _ |0 I:(DE-Juel1)JSC-20090406
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