000885994 001__ 885994 000885994 005__ 20210130010557.0 000885994 020__ $$a978-981-15-6715-5 000885994 0247_ $$2Handle$$a2128/26022 000885994 0247_ $$2altmetric$$aaltmetric:92919879 000885994 037__ $$aFZJ-2020-04218 000885994 041__ $$aEnglish 000885994 1001_ $$0P:(DE-Juel1)165948$$aLintermann, Andreas$$b0$$eCorresponding author$$ufzj 000885994 245__ $$aComputational Meshing for CFD Simulations 000885994 260__ $$aSingapore$$bSpringer Nature Singapore Pte Ltd. 2021$$c2020 000885994 29510 $$aClinical and Biomedical Engineering in the Human Nose - A Computational Fluid Dynamics Approach 000885994 300__ $$a85-115 000885994 3367_ $$2ORCID$$aBOOK_CHAPTER 000885994 3367_ $$07$$2EndNote$$aBook Section 000885994 3367_ $$2DRIVER$$abookPart 000885994 3367_ $$2BibTeX$$aINBOOK 000885994 3367_ $$2DataCite$$aOutput Types/Book chapter 000885994 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$bcontb$$mcontb$$s1604324365_30287 000885994 4900_ $$aBiological and Medical Physics, Biomedical Engineering 000885994 500__ $$a10.1007/978-981-15-6716-2_6 000885994 520__ $$aIn 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. 000885994 536__ $$0G:(DE-HGF)POF3-511$$a511 - Computational Science and Mathematical Methods (POF3-511)$$cPOF3-511$$fPOF III$$x0 000885994 8564_ $$uhttps://juser.fz-juelich.de/record/885994/files/2020_Lintermann_ClinBiomedEng_Ch6.pdf$$yOpenAccess 000885994 8564_ $$uhttps://juser.fz-juelich.de/record/885994/files/2020_Lintermann_ClinBiomedEng_Ch6.pdf?subformat=pdfa$$xpdfa$$yOpenAccess 000885994 909CO $$ooai:juser.fz-juelich.de:885994$$pdnbdelivery$$pdriver$$pVDB$$popen_access$$popenaire 000885994 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165948$$aForschungszentrum Jülich$$b0$$kFZJ 000885994 9131_ $$0G:(DE-HGF)POF3-511$$1G:(DE-HGF)POF3-510$$2G:(DE-HGF)POF3-500$$3G:(DE-HGF)POF3$$4G:(DE-HGF)POF$$aDE-HGF$$bKey Technologies$$lSupercomputing & Big Data$$vComputational Science and Mathematical Methods$$x0 000885994 9141_ $$y2020 000885994 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess 000885994 920__ $$lyes 000885994 9201_ $$0I:(DE-Juel1)JSC-20090406$$kJSC$$lJülich Supercomputing Center$$x0 000885994 980__ $$acontb 000885994 980__ $$aVDB 000885994 980__ $$aUNRESTRICTED 000885994 980__ $$aI:(DE-Juel1)JSC-20090406 000885994 9801_ $$aFullTexts