Three-Dimensional Low Reynolds Number Flows near Biological Filtering and Protective Layers

Mesoscale filtering and protective layers are replete throughout the natural world. Within the body, arrays of extracellular proteins, microvilli, and cilia can act as both protective layers and mechanosensors. For example, blood flow profiles through the endothelial surface layer determine the amou...

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Main Authors: Christopher Strickland, Laura Miller, Arvind Santhanakrishnan, Christina Hamlet, Nicholas A. Battista, Virginia Pasour
Format: Article
Language:English
Published: MDPI AG 2017-11-01
Series:Fluids
Subjects:
Online Access:https://www.mdpi.com/2311-5521/2/4/62
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spelling doaj-f670f303d68c48f5a3acdcb5fa7577a72020-11-25T00:07:27ZengMDPI AGFluids2311-55212017-11-01246210.3390/fluids2040062fluids2040062Three-Dimensional Low Reynolds Number Flows near Biological Filtering and Protective LayersChristopher Strickland0Laura Miller1Arvind Santhanakrishnan2Christina Hamlet3Nicholas A. Battista4Virginia Pasour5Department of Mathematics, University of Tennessee Knoxville, 1403 Circle Drive, Knoxville, TN 37996, USADepartment of Mathematics, CB 3250, University of North Carolina, Chapel Hill, NC 27599, USASchool of Mechanical and Aerospace Engineering, Oklahoma State University, 218 Engineering North, Stillwater, OK 74078, USADepartment of Mathematics, Bucknell University, Lewisburg, PA 17837, USADepartment of Mathematics and Statistics, The College of New Jersey, 2000 Pennington Rd., Ewing, NJ 08628, USADepartment of Mathematics, CB 3250, University of North Carolina, Chapel Hill, NC 27599, USAMesoscale filtering and protective layers are replete throughout the natural world. Within the body, arrays of extracellular proteins, microvilli, and cilia can act as both protective layers and mechanosensors. For example, blood flow profiles through the endothelial surface layer determine the amount of shear stress felt by the endothelial cells and may alter the rates at which molecules enter and exit the cells. Characterizing the flow profiles through such layers is therefore critical towards understanding the function of such arrays in cell signaling and molecular filtering. External filtering layers are also important to many animals and plants. Trichomes (the hairs or fine outgrowths on plants) can drastically alter both the average wind speed and profile near the leaf’s surface, affecting the rates of nutrient and heat exchange. In this paper, dynamically scaled physical models are used to study the flow profiles outside of arrays of cylinders that represent such filtering and protective layers. In addition, numerical simulations using the Immersed Boundary Method are used to resolve the three-dimensional flows within the layers. The experimental and computational results are compared to analytical results obtained by modeling the layer as a homogeneous porous medium with free flow above the layer. The experimental results show that the bulk flow is well described by simple analytical models. The numerical results show that the spatially averaged flow within the layer is well described by the Brinkman model. The numerical results also demonstrate, however, that the flow can be highly three-dimensional with fluid moving into and out of the layer. These effects are not described by the Brinkman model and may be significant for biologically relevant volume fractions. The results of this paper can be used to understand how variations in density and height of such structures can alter shear stresses and bulk flows.https://www.mdpi.com/2311-5521/2/4/62immersed boundary methodporous flowtrichomesglycocalyxleakinessfiltering layers
collection DOAJ
language English
format Article
sources DOAJ
author Christopher Strickland
Laura Miller
Arvind Santhanakrishnan
Christina Hamlet
Nicholas A. Battista
Virginia Pasour
spellingShingle Christopher Strickland
Laura Miller
Arvind Santhanakrishnan
Christina Hamlet
Nicholas A. Battista
Virginia Pasour
Three-Dimensional Low Reynolds Number Flows near Biological Filtering and Protective Layers
Fluids
immersed boundary method
porous flow
trichomes
glycocalyx
leakiness
filtering layers
author_facet Christopher Strickland
Laura Miller
Arvind Santhanakrishnan
Christina Hamlet
Nicholas A. Battista
Virginia Pasour
author_sort Christopher Strickland
title Three-Dimensional Low Reynolds Number Flows near Biological Filtering and Protective Layers
title_short Three-Dimensional Low Reynolds Number Flows near Biological Filtering and Protective Layers
title_full Three-Dimensional Low Reynolds Number Flows near Biological Filtering and Protective Layers
title_fullStr Three-Dimensional Low Reynolds Number Flows near Biological Filtering and Protective Layers
title_full_unstemmed Three-Dimensional Low Reynolds Number Flows near Biological Filtering and Protective Layers
title_sort three-dimensional low reynolds number flows near biological filtering and protective layers
publisher MDPI AG
series Fluids
issn 2311-5521
publishDate 2017-11-01
description Mesoscale filtering and protective layers are replete throughout the natural world. Within the body, arrays of extracellular proteins, microvilli, and cilia can act as both protective layers and mechanosensors. For example, blood flow profiles through the endothelial surface layer determine the amount of shear stress felt by the endothelial cells and may alter the rates at which molecules enter and exit the cells. Characterizing the flow profiles through such layers is therefore critical towards understanding the function of such arrays in cell signaling and molecular filtering. External filtering layers are also important to many animals and plants. Trichomes (the hairs or fine outgrowths on plants) can drastically alter both the average wind speed and profile near the leaf’s surface, affecting the rates of nutrient and heat exchange. In this paper, dynamically scaled physical models are used to study the flow profiles outside of arrays of cylinders that represent such filtering and protective layers. In addition, numerical simulations using the Immersed Boundary Method are used to resolve the three-dimensional flows within the layers. The experimental and computational results are compared to analytical results obtained by modeling the layer as a homogeneous porous medium with free flow above the layer. The experimental results show that the bulk flow is well described by simple analytical models. The numerical results show that the spatially averaged flow within the layer is well described by the Brinkman model. The numerical results also demonstrate, however, that the flow can be highly three-dimensional with fluid moving into and out of the layer. These effects are not described by the Brinkman model and may be significant for biologically relevant volume fractions. The results of this paper can be used to understand how variations in density and height of such structures can alter shear stresses and bulk flows.
topic immersed boundary method
porous flow
trichomes
glycocalyx
leakiness
filtering layers
url https://www.mdpi.com/2311-5521/2/4/62
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