Literature DB >> 30211982

The FDA nozzle benchmark: "In theory there is no difference between theory and practice, but in practice there is".

Aslak W Bergersen1, Mikael Mortensen2, Kristian Valen-Sendstad1.   

Abstract

The utility of flow simulations relies on the robustness of computational fluid dynamics (CFD) solvers and reproducibility of results. The aim of this study was to validate the Oasis CFD solver against in vitro experimental measurements of jet breakdown location from the FDA nozzle benchmark at Reynolds number 3500, which is in the particularly challenging transitional regime. Simulations were performed on meshes consisting of 5, 10, 17, and 28 million (M) tetrahedra, with Δt  =  10-5 seconds. The 5M and 10M simulation jets broke down in reasonable agreement with the experiments. However, the 17M and 28M simulation jets broke down further downstream. But which of our simulations are "correct"? From a theoretical point of view, they are all wrong because the jet should not break down in the absence of disturbances. The geometry is axisymmetric with no geometrical features that can generate angular velocities. A stable flow was supported by linear stability analysis. From a physical point of view, a finite amount of "noise" will always be present in experiments, which lowers transition point. To replicate noise numerically, we prescribed minor random angular velocities (approximately 0.31%), much smaller than the reported flow asymmetry (approximately 3%) and model accuracy (approximately 1%), at the inlet of the 17M simulation, which shifted the jet breakdown location closer to the measurements. Hence, the high-resolution simulations and "noise" experiment can potentially explain discrepancies in transition between sometimes "sterile" CFD and inherently noisy "ground truth" experiments. Thus, we have shown that numerical simulations can agree with experiments, but for the wrong reasons.
© 2018 John Wiley & Sons, Ltd.

Entities:  

Keywords:  FDA nozzle benchmark; computational fluid dynamics; noise; transitional flow; turbulence; validation

Year:  2018        PMID: 30211982     DOI: 10.1002/cnm.3150

Source DB:  PubMed          Journal:  Int J Numer Method Biomed Eng        ISSN: 2040-7939            Impact factor:   2.747


  3 in total

1.  The nested block preconditioning technique for the incompressible Navier-Stokes equations with emphasis on hemodynamic simulations.

Authors:  Ju Liu; Weiguang Yang; Melody Dong; Alison L Marsden
Journal:  Comput Methods Appl Mech Eng       Date:  2020-05-27       Impact factor: 6.756

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.  High-Frequency Fluctuations in Post-stenotic Patient Specific Carotid Stenosis Fluid Dynamics: A Computational Fluid Dynamics Strategy Study.

Authors:  Viviana Mancini; Aslak W Bergersen; Jan Vierendeels; Patrick Segers; Kristian Valen-Sendstad
Journal:  Cardiovasc Eng Technol       Date:  2019-04-01       Impact factor: 2.495

  3 in total

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