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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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