000875419 001__ 875419
000875419 005__ 20210130004930.0
000875419 0247_ $$2doi$$a10.1007/978-3-030-21217-9_106
000875419 037__ $$aFZJ-2020-02025
000875419 041__ $$aEnglish
000875419 1001_ $$0P:(DE-HGF)0$$aCingi, Cemal$$b0$$eEditor
000875419 245__ $$aApplication of Computational Fluid Dynamics Methods to Understand Nasal Cavity Flows
000875419 260__ $$aCham$$bSpringer International Publishing$$c2020
000875419 29510 $$aAll Around the Nose / Cingi, Cemal (Editor)   ; Cham : Springer International Publishing, 2020, Chapter 106 ; ISBN: 978-3-030-21216-2 ; doi:10.1007/978-3-030-21217-9
000875419 300__ $$a75-84
000875419 3367_ $$2ORCID$$aBOOK_CHAPTER
000875419 3367_ $$07$$2EndNote$$aBook Section
000875419 3367_ $$2DRIVER$$abookPart
000875419 3367_ $$2BibTeX$$aINBOOK
000875419 3367_ $$2DataCite$$aOutput Types/Book chapter
000875419 3367_ $$0PUB:(DE-HGF)7$$2PUB:(DE-HGF)$$aContribution to a book$$bcontb$$mcontb$$s1589811885_29838
000875419 520__ $$aComputational fluid dynamics methods enable to numerically predict complex flows with the help of computers. In the fields of Engineering and Physics they are already in use for decades to support design decissions and to get insight into complex physical phenomena. The simulation techniques have massively evolved over the past years and can nowadays be applied in medical context to analyze bio-fluidmechanical processes. Thanks to the continuous increase of computational power and parallelism as well as algorithmic advancements, accurate predictions of the flow in the nasal cavity are possible today. This chapter introduces the reader to the concepts of the computational fluid dynamics of the nose. It delivers some fundamentals on pre-processing medical image data, various techniques to generate computational meshes and gives an overview of methods to solve the governing equations of fluid motion. Thereby, advantages and disadvantages of the various approaches are explained. Subsequently, a variety of methods to analyze the flow and particle dynamics in the nasal cavity, ranging from streamline visualizations, pressure loss and temperature increase considerations, wall-shear stress and heat-flux distributions, to the analysis of the particle deposition behavior and transitional flow, is presented. The chapter concludes with how such methods can be used in clinical applications and elaborates how future developments might support decision making in medical pathways.
000875419 536__ $$0G:(DE-HGF)POF3-511$$a511 - Computational Science and Mathematical Methods (POF3-511)$$cPOF3-511$$fPOF III$$x0
000875419 588__ $$aDataset connected to CrossRef Book
000875419 7001_ $$0P:(DE-HGF)0$$aBayar Muluk, Nuray$$b1$$eEditor
000875419 7001_ $$0P:(DE-Juel1)165948$$aLintermann, Andreas$$b2$$ufzj
000875419 773__ $$a10.1007/978-3-030-21217-9_106
000875419 8564_ $$uhttps://juser.fz-juelich.de/record/875419/files/AATN_Lintermann_Ch9.pdf$$yRestricted
000875419 8564_ $$uhttps://juser.fz-juelich.de/record/875419/files/AATN_Lintermann_Ch9.pdf?subformat=pdfa$$xpdfa$$yRestricted
000875419 909CO $$ooai:juser.fz-juelich.de:875419$$pextern4vita
000875419 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)165948$$aForschungszentrum Jülich$$b2$$kFZJ
000875419 9131_ $$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$$x0
000875419 920__ $$lyes
000875419 980__ $$acontb
000875419 980__ $$aUSER
000875419 980__ $$aI:(DE-Juel1)JSC-20090406
000875419 9801_ $$aEXTERN4VITA