% IMPORTANT: The following is UTF-8 encoded. This means that in the presence % of non-ASCII characters, it will not work with BibTeX 0.99 or older. % Instead, you should use an up-to-date BibTeX implementation like “bibtex8” or % “biber”. @INBOOK{Lintermann:885994, author = {Lintermann, Andreas}, title = {{C}omputational {M}eshing for {CFD} {S}imulations}, address = {Singapore}, publisher = {Springer Nature Singapore Pte Ltd. 2021}, reportid = {FZJ-2020-04218}, isbn = {978-981-15-6715-5}, series = {Biological and Medical Physics, Biomedical Engineering}, pages = {85-115}, year = {2020}, note = {$10.1007/978-981-15-6716-2_6$}, comment = {Clinical and Biomedical Engineering in the Human Nose - A Computational Fluid Dynamics Approach}, booktitle = {Clinical and Biomedical Engineering in the Human Nose - A Computational Fluid Dynamics Approach}, abstract = {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.}, cin = {JSC}, cid = {I:(DE-Juel1)JSC-20090406}, pnm = {511 - Computational Science and Mathematical Methods (POF3-511)}, pid = {G:(DE-HGF)POF3-511}, typ = {PUB:(DE-HGF)7}, url = {https://juser.fz-juelich.de/record/885994}, }