No Cover Image

Journal article 754 views 164 downloads

A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry

Feihu Zhao Orcid Logo, Johanna Melke, Keita Ito, Bert van Rietbergen, Sandra Hofmann

Biomechanics and Modeling in Mechanobiology, Volume: 18

Swansea University Author: Feihu Zhao Orcid Logo

  • Zhaoetal2019BMMB.pdf

    PDF | Version of Record

    This article is distributed under the terms of the Creative Commons Attribution 4.0 International License

    Download (3.15MB)

Check full text

DOI (Published version): 10.1007/s10237-019-01188-4

Abstract

Mechanical stimulation can regulate cellular behavior, e.g., differentiation, proliferation, matrix production and mineralisation. To apply fluid-induced wall shear stress (WSS) on cells, perfusion bioreactors have been commonly used in tissue engineering experiments. To gain a better insight into t...

Full description

Published in: Biomechanics and Modeling in Mechanobiology
ISSN: 1617-7959 1617-7940
Published: 2019
Online Access: Check full text

URI: https://cronfa.swan.ac.uk/Record/cronfa51679
Tags: Add Tag
No Tags, Be the first to tag this record!
first_indexed 2019-09-04T20:46:37Z
last_indexed 2020-06-26T19:03:09Z
id cronfa51679
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2020-06-26T16:10:38.5868188</datestamp><bib-version>v2</bib-version><id>51679</id><entry>2019-09-04</entry><title>A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry</title><swanseaauthors><author><sid>1c6e79b6edd08c88a8d17a241cd78630</sid><ORCID>0000-0003-0515-6808</ORCID><firstname>Feihu</firstname><surname>Zhao</surname><name>Feihu Zhao</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2019-09-04</date><deptcode>MEDE</deptcode><abstract>Mechanical stimulation can regulate cellular behavior, e.g., differentiation, proliferation, matrix production and mineralisation. To apply fluid-induced wall shear stress (WSS) on cells, perfusion bioreactors have been commonly used in tissue engineering experiments. To gain a better insight into the actual mechanical stimulation on cells in a tissue engineering experiment, computational simulation of the fluidic environment within scaffolds is important. However, biomaterial scaffolds typically have extremely complex geometries. This implies high computational costs for simulating the precise fluidic environment within the scaffolds. In this study, we propose a low-computational cost and feasible technique for quantifying the micro-fluidic environment within the scaffolds, which have extremely complex (or highly irregular) geometries. This technique is based on a multiscale computational fluid dynamics approach. The validation results have demonstrated that this approach can capture the WSS distribution in most regions within the scaffold. Importantly, the central process unit time needed to run the model is considerably low.</abstract><type>Journal Article</type><journal>Biomechanics and Modeling in Mechanobiology</journal><volume>18</volume><publisher/><issnPrint>1617-7959</issnPrint><issnElectronic>1617-7940</issnElectronic><keywords>Multiscale model, computational fluid dynamics, wall shear stress, homogenization, tissue engineering scaffold</keywords><publishedDay>14</publishedDay><publishedMonth>6</publishedMonth><publishedYear>2019</publishedYear><publishedDate>2019-06-14</publishedDate><doi>10.1007/s10237-019-01188-4</doi><url/><notes/><college>COLLEGE NANME</college><department>Biomedical Engineering</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>MEDE</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2020-06-26T16:10:38.5868188</lastEdited><Created>2019-09-04T15:40:42.7939986</Created><authors><author><firstname>Feihu</firstname><surname>Zhao</surname><orcid>0000-0003-0515-6808</orcid><order>1</order></author><author><firstname>Johanna</firstname><surname>Melke</surname><order>2</order></author><author><firstname>Keita</firstname><surname>Ito</surname><order>3</order></author><author><firstname>Bert van</firstname><surname>Rietbergen</surname><order>4</order></author><author><firstname>Sandra</firstname><surname>Hofmann</surname><order>5</order></author></authors><documents><document><filename>0051679-04092019163541.pdf</filename><originalFilename>Zhaoetal2019BMMB.pdf</originalFilename><uploaded>2019-09-04T16:35:41.7400000</uploaded><type>Output</type><contentLength>3392033</contentLength><contentType>application/pdf</contentType><version>Version of Record</version><cronfaStatus>true</cronfaStatus><embargoDate>2019-09-04T00:00:00.0000000</embargoDate><documentNotes>This article is distributed under the terms of the Creative Commons Attribution 4.0 International License</documentNotes><copyrightCorrect>true</copyrightCorrect><language>eng</language><licence>http://creativecommons.org/licenses/by/4.0/</licence></document></documents><OutputDurs/></rfc1807>
spelling 2020-06-26T16:10:38.5868188 v2 51679 2019-09-04 A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry 1c6e79b6edd08c88a8d17a241cd78630 0000-0003-0515-6808 Feihu Zhao Feihu Zhao true false 2019-09-04 MEDE Mechanical stimulation can regulate cellular behavior, e.g., differentiation, proliferation, matrix production and mineralisation. To apply fluid-induced wall shear stress (WSS) on cells, perfusion bioreactors have been commonly used in tissue engineering experiments. To gain a better insight into the actual mechanical stimulation on cells in a tissue engineering experiment, computational simulation of the fluidic environment within scaffolds is important. However, biomaterial scaffolds typically have extremely complex geometries. This implies high computational costs for simulating the precise fluidic environment within the scaffolds. In this study, we propose a low-computational cost and feasible technique for quantifying the micro-fluidic environment within the scaffolds, which have extremely complex (or highly irregular) geometries. This technique is based on a multiscale computational fluid dynamics approach. The validation results have demonstrated that this approach can capture the WSS distribution in most regions within the scaffold. Importantly, the central process unit time needed to run the model is considerably low. Journal Article Biomechanics and Modeling in Mechanobiology 18 1617-7959 1617-7940 Multiscale model, computational fluid dynamics, wall shear stress, homogenization, tissue engineering scaffold 14 6 2019 2019-06-14 10.1007/s10237-019-01188-4 COLLEGE NANME Biomedical Engineering COLLEGE CODE MEDE Swansea University 2020-06-26T16:10:38.5868188 2019-09-04T15:40:42.7939986 Feihu Zhao 0000-0003-0515-6808 1 Johanna Melke 2 Keita Ito 3 Bert van Rietbergen 4 Sandra Hofmann 5 0051679-04092019163541.pdf Zhaoetal2019BMMB.pdf 2019-09-04T16:35:41.7400000 Output 3392033 application/pdf Version of Record true 2019-09-04T00:00:00.0000000 This article is distributed under the terms of the Creative Commons Attribution 4.0 International License true eng http://creativecommons.org/licenses/by/4.0/
title A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry
spellingShingle A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry
Feihu Zhao
title_short A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry
title_full A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry
title_fullStr A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry
title_full_unstemmed A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry
title_sort A multiscale computational fluid dynamics approach to simulate the micro-fluidic environment within a tissue engineering scaffold with highly irregular pore geometry
author_id_str_mv 1c6e79b6edd08c88a8d17a241cd78630
author_id_fullname_str_mv 1c6e79b6edd08c88a8d17a241cd78630_***_Feihu Zhao
author Feihu Zhao
author2 Feihu Zhao
Johanna Melke
Keita Ito
Bert van Rietbergen
Sandra Hofmann
format Journal article
container_title Biomechanics and Modeling in Mechanobiology
container_volume 18
publishDate 2019
institution Swansea University
issn 1617-7959
1617-7940
doi_str_mv 10.1007/s10237-019-01188-4
document_store_str 1
active_str 0
description Mechanical stimulation can regulate cellular behavior, e.g., differentiation, proliferation, matrix production and mineralisation. To apply fluid-induced wall shear stress (WSS) on cells, perfusion bioreactors have been commonly used in tissue engineering experiments. To gain a better insight into the actual mechanical stimulation on cells in a tissue engineering experiment, computational simulation of the fluidic environment within scaffolds is important. However, biomaterial scaffolds typically have extremely complex geometries. This implies high computational costs for simulating the precise fluidic environment within the scaffolds. In this study, we propose a low-computational cost and feasible technique for quantifying the micro-fluidic environment within the scaffolds, which have extremely complex (or highly irregular) geometries. This technique is based on a multiscale computational fluid dynamics approach. The validation results have demonstrated that this approach can capture the WSS distribution in most regions within the scaffold. Importantly, the central process unit time needed to run the model is considerably low.
published_date 2019-06-14T04:03:40Z
_version_ 1763753297457446912
score 11.035634

Similar Items