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    Multilaboratory Particle Image Velocimetry Analysis of the FDA Benchmark Nozzle Model to Support Validation of Computational Fluid Dynamics Simulations

    Source: Journal of Biomechanical Engineering:;2011:;volume( 133 ):;issue: 004::page 41002
    Author:
    Prasanna Hariharan
    ,
    Matthew Giarra
    ,
    Varun Reddy
    ,
    Steven W. Day
    ,
    Keefe B. Manning
    ,
    Sandy F. C. Stewart
    ,
    Greg W. Burgreen
    ,
    Eric G. Paterson
    ,
    Richard A. Malinauskas
    ,
    Matthew R. Myers
    ,
    Steven Deutsch
    ,
    Michael R. Berman
    DOI: 10.1115/1.4003440
    Publisher: The American Society of Mechanical Engineers (ASME)
    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 (Rethroat) 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 (Rethroat=500) and turbulent flow conditions (Rethroat≥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 (Rethroat=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.
    keyword(s): Flow (Dynamics) , Computational fluid dynamics , Nozzles , Turbulence , Engineering simulation , Fluids , Particulate matter , Measurement , Frequency-domain analysis , Blood , Errors AND Reynolds number ,
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      Multilaboratory Particle Image Velocimetry Analysis of the FDA Benchmark Nozzle Model to Support Validation of Computational Fluid Dynamics Simulations

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/145455
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    • Journal of Biomechanical Engineering

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    contributor authorPrasanna Hariharan
    contributor authorMatthew Giarra
    contributor authorVarun Reddy
    contributor authorSteven W. Day
    contributor authorKeefe B. Manning
    contributor authorSandy F. C. Stewart
    contributor authorGreg W. Burgreen
    contributor authorEric G. Paterson
    contributor authorRichard A. Malinauskas
    contributor authorMatthew R. Myers
    contributor authorSteven Deutsch
    contributor authorMichael R. Berman
    date accessioned2017-05-09T00:42:32Z
    date available2017-05-09T00:42:32Z
    date copyrightApril, 2011
    date issued2011
    identifier issn0148-0731
    identifier otherJBENDY-27203#041002_1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/145455
    description abstractThis 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 (Rethroat) 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 (Rethroat=500) and turbulent flow conditions (Rethroat≥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 (Rethroat=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.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleMultilaboratory Particle Image Velocimetry Analysis of the FDA Benchmark Nozzle Model to Support Validation of Computational Fluid Dynamics Simulations
    typeJournal Paper
    journal volume133
    journal issue4
    journal titleJournal of Biomechanical Engineering
    identifier doi10.1115/1.4003440
    journal fristpage41002
    identifier eissn1528-8951
    keywordsFlow (Dynamics)
    keywordsComputational fluid dynamics
    keywordsNozzles
    keywordsTurbulence
    keywordsEngineering simulation
    keywordsFluids
    keywordsParticulate matter
    keywordsMeasurement
    keywordsFrequency-domain analysis
    keywordsBlood
    keywordsErrors AND Reynolds number
    treeJournal of Biomechanical Engineering:;2011:;volume( 133 ):;issue: 004
    contenttypeFulltext
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