Large Eddy Simulation of FDA's Idealized Medical Device

Yann T. Delorme; Kameswararao Anupindi; Steven H. Frankel

doi:10.1007/s13239-013-0161-7

Large Eddy Simulation of FDA's Idealized Medical Device

Yann T. Delorme
, Kameswararao Anupindi
, Steven H. Frankel

Research output: Contribution to journal › Article › peer-review

Abstract

A hybrid large eddy simulation and immersed boundary method (IBM) computational approach is used to make quantitative predictions of flow field statistics within the Food and Drug Administration's idealized medical device. An in-house code is used, hereafter (WenoHemo™), that combines high-order finite-difference schemes on structured staggered Cartesian grids with an IBM to facilitate flow over or through complex stationary or rotating geometries and employs a subgrid-scale turbulence model that more naturally handles transitional flows (Delorme et al., J Biomech 46:207-436, 2013). Predictions of velocity and wall shear stress statistics are compared with previously published experimental measurements from Hariharan et al. (J Biomech Eng 133:041002, 2011) for the four Reynolds numbers considered.

Original language	English
Pages (from-to)	392-407
Number of pages	16
Journal	Cardiovascular Engineering and Technology
Volume	4
Issue number	4
DOIs	https://doi.org/10.1007/s13239-013-0161-7
State	Published - Dec 2013
Externally published	Yes

Keywords

Idealized medical device
Large eddy simulation
Shear stress
Transitional flow
Turbulence

ASJC Scopus subject areas

Biomedical Engineering
Cardiology and Cardiovascular Medicine

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10.1007/s13239-013-0161-7

Cite this

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title = "Large Eddy Simulation of FDA's Idealized Medical Device",

abstract = "A hybrid large eddy simulation and immersed boundary method (IBM) computational approach is used to make quantitative predictions of flow field statistics within the Food and Drug Administration's idealized medical device. An in-house code is used, hereafter (WenoHemo{\texttrademark}), that combines high-order finite-difference schemes on structured staggered Cartesian grids with an IBM to facilitate flow over or through complex stationary or rotating geometries and employs a subgrid-scale turbulence model that more naturally handles transitional flows (Delorme et al., J Biomech 46:207-436, 2013). Predictions of velocity and wall shear stress statistics are compared with previously published experimental measurements from Hariharan et al. (J Biomech Eng 133:041002, 2011) for the four Reynolds numbers considered.",

keywords = "Idealized medical device, Large eddy simulation, Shear stress, Transitional flow, Turbulence",

author = "Delorme, \{Yann T.\} and Kameswararao Anupindi and Frankel, \{Steven H.\}",

note = "Funding Information: The authors would like to acknowledge financial support for this work by the National Institute of Health (NIH Grant no. HL098353). The authors would also like to thank Dr. Sandy Stewart for sharing the data and several discussions related to this work.",

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language = "English",

volume = "4",

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AU - Delorme, Yann T.

AU - Anupindi, Kameswararao

AU - Frankel, Steven H.

N1 - Funding Information: The authors would like to acknowledge financial support for this work by the National Institute of Health (NIH Grant no. HL098353). The authors would also like to thank Dr. Sandy Stewart for sharing the data and several discussions related to this work.

PY - 2013/12

Y1 - 2013/12

N2 - A hybrid large eddy simulation and immersed boundary method (IBM) computational approach is used to make quantitative predictions of flow field statistics within the Food and Drug Administration's idealized medical device. An in-house code is used, hereafter (WenoHemo™), that combines high-order finite-difference schemes on structured staggered Cartesian grids with an IBM to facilitate flow over or through complex stationary or rotating geometries and employs a subgrid-scale turbulence model that more naturally handles transitional flows (Delorme et al., J Biomech 46:207-436, 2013). Predictions of velocity and wall shear stress statistics are compared with previously published experimental measurements from Hariharan et al. (J Biomech Eng 133:041002, 2011) for the four Reynolds numbers considered.

AB - A hybrid large eddy simulation and immersed boundary method (IBM) computational approach is used to make quantitative predictions of flow field statistics within the Food and Drug Administration's idealized medical device. An in-house code is used, hereafter (WenoHemo™), that combines high-order finite-difference schemes on structured staggered Cartesian grids with an IBM to facilitate flow over or through complex stationary or rotating geometries and employs a subgrid-scale turbulence model that more naturally handles transitional flows (Delorme et al., J Biomech 46:207-436, 2013). Predictions of velocity and wall shear stress statistics are compared with previously published experimental measurements from Hariharan et al. (J Biomech Eng 133:041002, 2011) for the four Reynolds numbers considered.

KW - Idealized medical device

KW - Large eddy simulation

KW - Shear stress

KW - Transitional flow

KW - Turbulence

UR - https://www.scopus.com/pages/publications/84886233906

U2 - 10.1007/s13239-013-0161-7

DO - 10.1007/s13239-013-0161-7

M3 - Article

SN - 1869-408X

VL - 4

SP - 392

EP - 407

JO - Cardiovascular Engineering and Technology

JF - Cardiovascular Engineering and Technology

IS - 4

ER -

Large Eddy Simulation of FDA's Idealized Medical Device

Abstract

Keywords

ASJC Scopus subject areas

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