Please use this identifier to cite or link to this item:
|Title:||Micron particle deposition in the nasal cavity using the v2–f model||Authors:||inthavong, kiao
|Keywords:||Computational fluid dynamics;Eddy interaction model;Particle deposition;Near wall turbulence;Nasal cavity||Issue Date:||15-Jul-2011||Publisher:||Elsevier||Source:||Computers & Fluids, 51(1), 184–188||Journal:||Computers & Fluids||Abstract:||Commercial CFD codes are commonly used to simulate models that involve complicated geometries such as the human nasal cavity. This means that the user has to work within the limitations of the available models of the CFD code. One such issue is the turbulent dispersion of particles in the Lagrangian reference, namely the Discrete Random Walk (DRW) model which overpredicts the deposition of smaller inertial particles, due to its inherent isotropic treatment of the normal to the wall fluctuation, v′ , in the near wall region. DNS data for channel flows has been used to create a function that reduces the turbulent kinetic energy (TKE) to match the v′ profile which has delivered improved particle deposition efficiency results. This paper presents an alternative approach to reduce the TKE to match v′ , by directly taking the profile from the v2–f turbulence model. The approach is validated against experimental pipe flow for a 90° bend and then applied to particle dispersion in a human nasal cavity using Ansys-Fluent which showed improved results compared to no modification.||URI:||http://hdl.handle.net/20.500.11790/24||ISSN:||0045-7930||DOI:||10.1016/j.compfluid.2011.08.013||Rights:||info:eu-repo/semantics/closedAccess|
|Appears in Collections:||Energie-Umweltmanagement|
Show full item record
checked on Jun 15, 2021
checked on Jun 21, 2021
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.