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...

Full description

Bibliographic Details
Main Authors: Stiehm Michael, Brandt-Wunderlich Christoph, Siewert Stefan, Schmitz Klaus-Peter, Grabow Niels, Goubergrits Leonid, Kühne Titus, Poon Eric K. W., Ooi Andrew, Barlis Peter
Format: Article
Language:English
Published: De Gruyter 2020-09-01
Series:Current Directions in Biomedical Engineering
Subjects:
Online Access:http://www.degruyter.com/view/j/cdbme.2020.6.issue-3/cdbme-2020-3020/cdbme-2020-3020.xml?format=INT
id doaj-c22ccd023c4a4a319f78c935001a79e8
record_format Article
spelling 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
work_keys_str_mv AT stiehmmichael sensitivityanalysisoffdasbenchmarknozzleregardinginvitroimperfectionsdoweneedasymmetriccfdbenchmarks
AT brandtwunderlichchristoph sensitivityanalysisoffdasbenchmarknozzleregardinginvitroimperfectionsdoweneedasymmetriccfdbenchmarks
AT siewertstefan sensitivityanalysisoffdasbenchmarknozzleregardinginvitroimperfectionsdoweneedasymmetriccfdbenchmarks
AT schmitzklauspeter sensitivityanalysisoffdasbenchmarknozzleregardinginvitroimperfectionsdoweneedasymmetriccfdbenchmarks
AT grabowniels sensitivityanalysisoffdasbenchmarknozzleregardinginvitroimperfectionsdoweneedasymmetriccfdbenchmarks
AT goubergritsleonid sensitivityanalysisoffdasbenchmarknozzleregardinginvitroimperfectionsdoweneedasymmetriccfdbenchmarks
AT kuhnetitus sensitivityanalysisoffdasbenchmarknozzleregardinginvitroimperfectionsdoweneedasymmetriccfdbenchmarks
AT poonerickw sensitivityanalysisoffdasbenchmarknozzleregardinginvitroimperfectionsdoweneedasymmetriccfdbenchmarks
AT ooiandrew sensitivityanalysisoffdasbenchmarknozzleregardinginvitroimperfectionsdoweneedasymmetriccfdbenchmarks
AT barlispeter sensitivityanalysisoffdasbenchmarknozzleregardinginvitroimperfectionsdoweneedasymmetriccfdbenchmarks
_version_ 1724247531657887744