Literature DB >> 21428676

Multilaboratory particle image velocimetry analysis of the FDA benchmark nozzle model to support validation of computational fluid dynamics simulations.

Prasanna Hariharan1, Matthew Giarra, Varun Reddy, Steven W Day, Keefe B Manning, Steven Deutsch, Sandy F C Stewart, Matthew R Myers, Michael R Berman, Greg W Burgreen, Eric G Paterson, Richard A Malinauskas.   

Abstract

This study is part of a FDA-sponsored project to evaluate the use and limitations of computational fluid dynamics (CFD) in assessing blood flow parameters related to medical device safety. In an interlaboratory study, fluid velocities and pressures were measured in a nozzle model to provide experimental validation for a companion round-robin CFD study. The simple benchmark nozzle model, which mimicked the flow fields in several medical devices, consisted of a gradual flow constriction, a narrow throat region, and a sudden expansion region where a fluid jet exited the center of the nozzle with recirculation zones near the model walls. Measurements of mean velocity and turbulent flow quantities were made in the benchmark device at three independent laboratories using particle image velocimetry (PIV). Flow measurements were performed over a range of nozzle throat Reynolds numbers (Re(throat)) from 500 to 6500, covering the laminar, transitional, and turbulent flow regimes. A standard operating procedure was developed for performing experiments under controlled temperature and flow conditions and for minimizing systematic errors during PIV image acquisition and processing. For laminar (Re(throat)=500) and turbulent flow conditions (Re(throat)≥3500), the velocities measured by the three laboratories were similar with an interlaboratory uncertainty of ∼10% at most of the locations. However, for the transitional flow case (Re(throat)=2000), the uncertainty in the size and the velocity of the jet at the nozzle exit increased to ∼60% and was very sensitive to the flow conditions. An error analysis showed that by minimizing the variability in the experimental parameters such as flow rate and fluid viscosity to less than 5% and by matching the inlet turbulence level between the laboratories, the uncertainties in the velocities of the transitional flow case could be reduced to ∼15%. The experimental procedure and flow results from this interlaboratory study (available at http://fdacfd.nci.nih.gov) will be useful in validating CFD simulations of the benchmark nozzle model and in performing PIV studies on other medical device models.

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Year:  2011        PMID: 21428676     DOI: 10.1115/1.4003440

Source DB:  PubMed          Journal:  J Biomech Eng        ISSN: 0148-0731            Impact factor:   2.097


  17 in total

1.  Large Eddy Simulation of FDA's Idealized Medical Device.

Authors:  Yann T Delorme; Kameswararao Anupindi; Steven H Frankel
Journal:  Cardiovasc Eng Technol       Date:  2013-12-01       Impact factor: 2.495

2.  Prediction of mechanical hemolysis in medical devices via a Lagrangian strain-based multiscale model.

Authors:  Mehdi Nikfar; Meghdad Razizadeh; Jiafeng Zhang; Ratul Paul; Zhongjun J Wu; Yaling Liu
Journal:  Artif Organs       Date:  2020-03-05       Impact factor: 3.094

Review 3.  Recent advances in computational methodology for simulation of mechanical circulatory assist devices.

Authors:  Alison L Marsden; Yuri Bazilevs; Christopher C Long; Marek Behr
Journal:  Wiley Interdiscip Rev Syst Biol Med       Date:  2014-01-21

4.  Multilaboratory study of flow-induced hemolysis using the FDA benchmark nozzle model.

Authors:  Luke H Herbertson; Salim E Olia; Amanda Daly; Christopher P Noatch; William A Smith; Marina V Kameneva; Richard A Malinauskas
Journal:  Artif Organs       Date:  2014-09-02       Impact factor: 3.094

5.  A quantitative comparison of mechanical blood damage parameters in rotary ventricular assist devices: shear stress, exposure time and hemolysis index.

Authors:  Katharine H Fraser; Tao Zhang; M Ertan Taskin; Bartley P Griffith; Zhongjun J Wu
Journal:  J Biomech Eng       Date:  2012-08       Impact factor: 2.097

6.  Validation of an open source framework for the simulation of blood flow in rigid and deformable vessels.

Authors:  T Passerini; A Quaini; U Villa; A Veneziani; S Canic
Journal:  Int J Numer Method Biomed Eng       Date:  2013-06-24       Impact factor: 2.747

7.  Large-Eddy Simulations of Flow in the FDA Benchmark Nozzle Geometry to Predict Hemolysis.

Authors:  Nicolas Tobin; Keefe B Manning
Journal:  Cardiovasc Eng Technol       Date:  2020-04-15       Impact factor: 2.495

8.  Methodology for Computational Fluid Dynamic Validation for Medical Use: Application to Intracranial Aneurysm.

Authors:  Nikhil Paliwal; Robert J Damiano; Nicole A Varble; Vincent M Tutino; Zhongwang Dou; Adnan H Siddiqui; Hui Meng
Journal:  J Biomech Eng       Date:  2017-12-01       Impact factor: 2.097

9.  Computational modeling of the Food and Drug Administration's benchmark centrifugal blood pump.

Authors:  Bryan C Good; Keefe B Manning
Journal:  Artif Organs       Date:  2020-02-16       Impact factor: 3.094

Review 10.  Engineered arterial models to correlate blood flow to tissue biological response.

Authors:  Jordi Martorell; Pablo Santomá; José J Molins; Andrés A García-Granada; José A Bea; Elazer R Edelman; Mercedes Balcells
Journal:  Ann N Y Acad Sci       Date:  2012-04       Impact factor: 6.499

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