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Experimental validation of a computational fluid dynamics model using micro-particle image velocimetry of the irrigation flow in confluent canals

dc.contributor.authorPereira, Mário Rito
dc.contributor.authorSilva, Gonçalo
dc.contributor.authorSemião, Viriato
dc.contributor.authorSilvério, Vânia
dc.contributor.authorMartins, Jorge N.R.
dc.contributor.authorPascoal-Faria, Paula
dc.contributor.authorAlves, Nuno
dc.contributor.authorDias, Juliana R.
dc.contributor.authorGinjeira, António
dc.date.accessioned2023-04-12T13:19:18Z
dc.date.available2023-04-12T13:19:18Z
dc.date.issued2022
dc.descriptionTecnologia FCT/MCTES (PIDDAC) and Centro2020, Grant/Award Number: UIDB/04044/2020 and UIDP/04044/2020; Associate Laboratory ARISEand PAMI, Grant/Award Number: LA/P/0112/2020 and ROTEIRO/0328/2013; Research Unit INESC MN and FCT, Grant/Award Number: UID/05367/2020 and UIDB/50022/2020.pt_PT
dc.description.abstractAim: This study aimed to experimentally validate a computational fluid dynamics (CFD) model, using micro-particle image velocimetry (micro-PIV) measurements of the irrigation flow velocity field developed in confluent canals during irrigation with a side-vented needle. Methodology: A microchip with confluent canals, manufactured in polydimethylsiloxane was used in a micro-PIV analysis of the irrigation flow using a side-vented needle placed 3 mm from the end of the confluence of the canals. Velocity fields and profiles were recorded for flow rates of 0.017 and 0.1 ml/s and compared with those predicted in CFD numerical simulations (using a finite volume commercial code –FLUENT) for both laminar and turbulent regimes. Results: The overall flow pattern, isovelocity and vector maps as well as velocity profiles showed a close agreement between the micro-PIV experimental and CFD predicted data. No relevant differences were observed between the results obtained with the laminar and turbulent flow models used. Conclusions: Results showed that the laminar CFD modelling is reliable to predict the flow in similar domains.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationRito Pereira M, Silva G, Semiao V, Silverio V, Martins JNR, Pascoal-Faria P, Alves N, Dias JR, Ginjeira A. Experimental validation of a computational fluid dynamics model using micro-particle image velocimetry of the irrigation flow in confluent canals. Int Endod J. 2022 Dec;55(12):1394-1403. doi: 10.1111/iej.13827. Epub 2022 Sep 10. PMID: 36040378.pt_PT
dc.identifier.doi10.1111/iej.13827pt_PT
dc.identifier.issn0143-2885
dc.identifier.issn1365-2591
dc.identifier.urihttp://hdl.handle.net/10400.8/8365
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.relationCentre for Rapid and Sustainable Product Development
dc.relationCentre for Rapid and Sustainable Product Development
dc.relationAssociate Laboratory of Energy, Transports and Aeronautics
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/pt_PT
dc.subjectComputational fluid dynamicspt_PT
dc.subjectConfluent canalspt_PT
dc.subjectEndodonticspt_PT
dc.subjectIrrigationpt_PT
dc.subjectMicro-particle image velocimetrypt_PT
dc.subjectPositive pressure irrigationpt_PT
dc.titleExperimental validation of a computational fluid dynamics model using micro-particle image velocimetry of the irrigation flow in confluent canalspt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardTitleCentre for Rapid and Sustainable Product Development
oaire.awardTitleCentre for Rapid and Sustainable Product Development
oaire.awardTitleAssociate Laboratory of Energy, Transports and Aeronautics
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F04044%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDP%2F04044%2F2020/PT
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/6817 - DCRRNI ID/UIDB%2F50022%2F2020/PT
oaire.citation.endPage1403pt_PT
oaire.citation.issue12pt_PT
oaire.citation.startPage1394pt_PT
oaire.citation.titleInternational Endodontic Journalpt_PT
oaire.citation.volume55pt_PT
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
oaire.fundingStream6817 - DCRRNI ID
person.familyNameRito Pereira
person.familyNameMartins
person.familyNamePascoal-Faria
person.familyNameAlves
person.familyNameDias
person.familyNamePinto Ginjeira
person.givenNameMário
person.givenNameJorge
person.givenNamePaula
person.givenNameNuno
person.givenNameJuliana
person.givenNameAntónio Manuel
person.identifier452149
person.identifier633669
person.identifier.ciencia-id3717-27DE-4F4B
person.identifier.ciencia-idE01D-874A-4145
person.identifier.ciencia-id311E-1559-8F6C
person.identifier.ciencia-id0612-D971-F00D
person.identifier.ciencia-idAF15-87B4-B3CF
person.identifier.orcid0000-0002-1632-5809
person.identifier.orcid0000-0002-6932-2038
person.identifier.orcid0000-0003-1474-9496
person.identifier.orcid0000-0002-5016-0868
person.identifier.orcid0000-0002-7079-1069
person.identifier.orcid0000-0001-5114-1426
person.identifier.ridN-4073-2013
person.identifier.ridA-6086-2014
person.identifier.scopus-author-id54976277000
person.identifier.scopus-author-id7006403383
person.identifier.scopus-author-id55749822200
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
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