Literature DB >> 24561349

Large eddy simulation of the FDA benchmark nozzle for a Reynolds number of 6500.

Gábor Janiga1.   

Abstract

This work investigates the flow in a benchmark nozzle model of an idealized medical device proposed by the FDA using computational fluid dynamics (CFD). It was in particular shown that a proper modeling of the transitional flow features is particularly challenging, leading to large discrepancies and inaccurate predictions from the different research groups using Reynolds-averaged Navier-Stokes (RANS) modeling. In spite of the relatively simple, axisymmetric computational geometry, the resulting turbulent flow is fairly complex and non-axisymmetric, in particular due to the sudden expansion. The resulting flow cannot be well predicted with simple modeling approaches. Due to the varying diameters and flow velocities encountered in the nozzle, different typical flow regions and regimes can be distinguished, from laminar to transitional and to weakly turbulent. The purpose of the present work is to re-examine the FDA-CFD benchmark nozzle model at a Reynolds number of 6500 using large eddy simulation (LES). The LES results are compared with published experimental data obtained by Particle Image Velocimetry (PIV) and an excellent agreement can be observed considering the temporally averaged flow velocities. Different flow regimes are characterized by computing the temporal energy spectra at different locations along the main axis.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Benchmark; CFD; Energy spectra; FDA; Large eddy simulation; Validation

Mesh:

Year:  2014        PMID: 24561349     DOI: 10.1016/j.compbiomed.2014.01.004

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  Use of the FDA nozzle model to illustrate validation techniques in computational fluid dynamics (CFD) simulations.

Authors:  Prasanna Hariharan; Gavin A D'Souza; Marc Horner; Tina M Morrison; Richard A Malinauskas; Matthew R Myers
Journal:  PLoS One       Date:  2017-06-08       Impact factor: 3.240

2.  Efficacy of the FDA nozzle benchmark and the lattice Boltzmann method for the analysis of biomedical flows in transitional regime.

Authors:  Kartik Jain
Journal:  Med Biol Eng Comput       Date:  2020-06-07       Impact factor: 2.602

3.  Computational Prediction of Thrombosis in Food and Drug Administration's Benchmark Nozzle.

Authors:  Yonghui Qiao; Kun Luo; Jianren Fan
Journal:  Front Physiol       Date:  2022-04-25       Impact factor: 4.755

  3 in total

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