Sensitivity analysis of FDA´s benchmark nozzle regarding in vitro imperfections - Do we need asymmetric CFD benchmarks?
Modern technologies and methods such as computer simulation, so-called in silico methods, foster the development of medical devices. For accelerating the uptake of computer simulations and to increase credibility and reliability the U.S. Food and Drug Administration organized an inter-laboratory rou...
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2020-09-01
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doaj-c22ccd023c4a4a319f78c935001a79e82021-02-28T21:53:02ZengDe GruyterCurrent Directions in Biomedical Engineering2364-55042020-09-0163788110.1515/cdbme-2020-3020cdbme-2020-3020Sensitivity analysis of FDA´s benchmark nozzle regarding in vitro imperfections - Do we need asymmetric CFD benchmarks?Stiehm Michael0Brandt-Wunderlich Christoph1Siewert Stefan2Schmitz Klaus-Peter3Grabow Niels4Goubergrits Leonid5Kühne Titus6Poon Eric K. W.7Ooi Andrew8Barlis Peter9Institute for ImplantTechnology and Biomaterials e.V., Friedrich- Barnewitz-Str. 4, 18119 Rostock-Warnemünde, GermanyInstitute for ImplantTechnology and Biomaterials e.V., 18119 Rostock-Warnemünde, GermanyInstitute for ImplantTechnology and Biomaterials e.V., 18119 Rostock-Warnemünde, GermanyInstitute for ImplantTechnology and Biomaterials e.V., 18119 Rostock-Warnemünde, GermanyInstitute for Biomedical Engineering, Rostock University Medical Center, 18119 Rostock-Warnemünde, GermanyInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charite ́ - Universitätsmedizin Berlin,Berlin, GermanyInstitute for Imaging Science and Computational Modelling in Cardiovascular Medicine, Charite ́ - Universitätsmedizin Berlin,Berlin, GermanyDepartment of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne,Melbourne, VIC 3010, AustraliaDepartment of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne,Melbourne, VIC 3010, AustraliaDepartment of Mechanical Engineering, Melbourne School of Engineering, The University of Melbourne,Melbourne, VIC 3010, AustraliaModern technologies and methods such as computer simulation, so-called in silico methods, foster the development of medical devices. For accelerating the uptake of computer simulations and to increase credibility and reliability the U.S. Food and Drug Administration organized an inter-laboratory round robin study of a generic nozzle geometry. In preparation of own bench testing experiment using Particle Image Velocimetry, a custom made silicone nozzle was manufactured. By using in silico computational fluid dynamics method the influence of in vitro imperfections, such as inflow variations and geometrical deviations, on the flow field were evaluated. Based on literature the throat Reynolds number was varied Rethroat = 500 ± 50. It could be shown that the flow field errors resulted from variations of inlet conditions can be largely eliminated by normalizing if the Reynolds number is known. Furthermore, a symmetric imperfection of the silicone model within manufacturing tolerance does not affect the flow as much as an asymmetric failure such as an unintended curvature of the nozzle. In brief, we can conclude that geometrical imperfection of the reference experiment should be considered accordingly to in silico modelling. The question arises, if an asymmetric benchmark for biofluid analysis needs to be established. An eccentric nozzle benchmark could be a suitable case and will be further investigated.http://www.degruyter.com/view/j/cdbme.2020.6.issue-3/cdbme-2020-3020/cdbme-2020-3020.xml?format=INTcomputational fluid dynamics (cfd)fda nozzlegeometrical imperfectionasymmetry |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Stiehm Michael Brandt-Wunderlich Christoph Siewert Stefan Schmitz Klaus-Peter Grabow Niels Goubergrits Leonid Kühne Titus Poon Eric K. W. Ooi Andrew Barlis Peter |
spellingShingle |
Stiehm Michael Brandt-Wunderlich Christoph Siewert Stefan Schmitz Klaus-Peter Grabow Niels Goubergrits Leonid Kühne Titus Poon Eric K. W. Ooi Andrew Barlis Peter Sensitivity analysis of FDA´s benchmark nozzle regarding in vitro imperfections - Do we need asymmetric CFD benchmarks? Current Directions in Biomedical Engineering computational fluid dynamics (cfd) fda nozzle geometrical imperfection asymmetry |
author_facet |
Stiehm Michael Brandt-Wunderlich Christoph Siewert Stefan Schmitz Klaus-Peter Grabow Niels Goubergrits Leonid Kühne Titus Poon Eric K. W. Ooi Andrew Barlis Peter |
author_sort |
Stiehm Michael |
title |
Sensitivity analysis of FDA´s benchmark nozzle regarding in vitro imperfections - Do we need asymmetric CFD benchmarks? |
title_short |
Sensitivity analysis of FDA´s benchmark nozzle regarding in vitro imperfections - Do we need asymmetric CFD benchmarks? |
title_full |
Sensitivity analysis of FDA´s benchmark nozzle regarding in vitro imperfections - Do we need asymmetric CFD benchmarks? |
title_fullStr |
Sensitivity analysis of FDA´s benchmark nozzle regarding in vitro imperfections - Do we need asymmetric CFD benchmarks? |
title_full_unstemmed |
Sensitivity analysis of FDA´s benchmark nozzle regarding in vitro imperfections - Do we need asymmetric CFD benchmarks? |
title_sort |
sensitivity analysis of fda´s benchmark nozzle regarding in vitro imperfections - do we need asymmetric cfd benchmarks? |
publisher |
De Gruyter |
series |
Current Directions in Biomedical Engineering |
issn |
2364-5504 |
publishDate |
2020-09-01 |
description |
Modern technologies and methods such as computer simulation, so-called in silico methods, foster the development of medical devices. For accelerating the uptake of computer simulations and to increase credibility and reliability the U.S. Food and Drug Administration organized an inter-laboratory round robin study of a generic nozzle geometry. In preparation of own bench testing experiment using Particle Image Velocimetry, a custom made silicone nozzle was manufactured. By using in silico computational fluid dynamics method the influence of in vitro imperfections, such as inflow variations and geometrical deviations, on the flow field were evaluated. Based on literature the throat Reynolds number was varied Rethroat = 500 ± 50. It could be shown that the flow field errors resulted from variations of inlet conditions can be largely eliminated by normalizing if the Reynolds number is known. Furthermore, a symmetric imperfection of the silicone model within manufacturing tolerance does not affect the flow as much as an asymmetric failure such as an unintended curvature of the nozzle. In brief, we can conclude that geometrical imperfection of the reference experiment should be considered accordingly to in silico modelling. The question arises, if an asymmetric benchmark for biofluid analysis needs to be established. An eccentric nozzle benchmark could be a suitable case and will be further investigated. |
topic |
computational fluid dynamics (cfd) fda nozzle geometrical imperfection asymmetry |
url |
http://www.degruyter.com/view/j/cdbme.2020.6.issue-3/cdbme-2020-3020/cdbme-2020-3020.xml?format=INT |
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