Computational Round Robin #1 was an international effort to assess the state of the art in biomedical computational fluid dynamics. We devised a benchmark standard model of a generic medical device, consisting of a nozzle with a conical change in diameter at one end of the throat, and a sudden change at the other end. We asked the CFD community in 2008-2009 to run a set of simulations under given flow conditions. We also performed experimental validations of flow in the nozzle for comparison. This website provides information on the study, the nozzle specifications, the raw data, as well as reports as they are generated. All the data will eventually be provided in this website.

Here is a collection of poster presentations and papers. Have a question - please ask them on the "Questions" tab.

Data files

The following data is available in the "supporting doc" section of the publication for 5 different flow conditions

i) Sudden Expansion Direction

For this flow direction, experimental and CFD data was obtained for five Reynolds number, Re= 500, 2000, 3500, 5000, and 6500. The following datafiles are included in the "supporting doc" section

1. Experimental data files from both PIV and LDV experiments 
2. Results from the round robin CFD simulations

File Nomenclature:

Sample file name (after the files are unzipped): "PIV_Sudden_Expansion_2000_468"

PIV - Specifies the experimental technique for flow measurement (PIV or LDV)

Sudden_Expansion - Specifies the flow direction

2000 - Specifies the Reynolds number

468 - Specifies the lab name (which is anonymized)

ii) Conical Diffuser Direction

For this flow direction, experimental and CFD data was obtained for five Reynolds number, Re= 500, 2000, 3500, 5000, and 6500. The following datafiles are included in the "supporting doc" section

1. Experimental data files from both PIV and LDV experiments 
2. Results from the round robin CFD simulations

• SE_CFD_exp_Archive.zip(ZIP | 56 MB)
• SE_CFD_0500.zip(ZIP | 8 MB)
• SE_CFD_2000.zip(ZIP | 9 MB)
• SE_CFD_3500.zip(ZIP | 8 MB)
• SE_CFD_5000.zip(ZIP | 23 MB)
• SE_CFD_6500.zip(ZIP | 9 MB)
• SE_exp_0500.zip(ZIP | 159 KB)
• SE_exp_2000.zip(ZIP | 206 KB)
• SE_exp_3500.zip(ZIP | 163 KB)
• SE_exp_5000.zip(ZIP | 207 KB)
• SE_exp_6500.zip(ZIP | 161 KB)

Researchers should cite this work as follows:

• Hariharan, P., Malinauskas, R. A. (2016). Computational Fluid Dynamics Simulation: Round Robin 1 Data Sets. NCI Hub.

  BibTex | EndNote

1. CFD
2. FDA
3. fluid dynamics

References

Others are building on this work. Here is a list of references by others using the Nozzle Model (that we are aware of as of 10-30-2013). If you have published or presented a study using this model (or know of one not listed below) please let us know.

1. Bhushan S, Walters DK, Burgreen GW.  Laminar, turbulent, and transitional simulations in benchmark cases with cardiovascular device features.  Cardiovasc Eng Technol.  2013; DOI: 10.1007/s13239-013-0155-5.
2. Delorme YT, Anupindi K, Frankel SH.  Large eddy simulation of FDA’s idealized medical device.  Cardiovasc Eng Technol.  2013; DOI: 10.1007/s13239-013-0161-7.
3. Down, LA. 2011.  Computational investigations of red blood cell mechanical trauma and of diseased renal artery hemodynamics.  Ph.D. thesis.  University of Oklahoma.
4. Goubergrits L, Osman J, Affeld K.  First experience with an FDA critical path initiative: CFD and hemolysis.  In: Proceedings of the XXXVI Annual ESAO Congress.  Compiègne, France; 2009.  p. 398.
5. Hund SJ, Antaki JF, Massoudi M.  On the representation of turbulent stresses for computing blood damage.  Int J Eng Sci.  2010;48:1325-1331.
6. White AT, Chong CK.  Rotational invariance in the three-dimensional lattice Boltzmann method is dependent on the choice of lattice.   Journal of Computational Physics.  2011;230:6367-78.
7. Yu H, Thévenin D, Janiga G.  Numerical prediction of hemolysis based on computational fluid dynamics.  In: Proceedings of the ECCOMAS Thematic International Conference on Simulation and Modeling of Biological Flows (SIMBIO 2011).  Brussels; 2011.  pp. 1-4.