mycoreobjectrosdok_document_0000025412rosdok_document_0000025412rosdokdocumentrosdok_derivate_0000221580rosdok_derivate_00002215812024-05-15T14:31:44.205Z2024-05-07T11:09:00.678ZeditorAMeditorAMpublished2rosdok_derivate_0000221580rosdok_derivate_0000221581truetruederivate_types:dataDatendatawf_edit_data wf_register_dataderivate_types:documentationDokumentationdocumentationwf_edit_data wf_register_datastate:publishedstate:publishedveröffentlichtpublishedrosdok/id000045831888021888Oau2024-05-072024-05-15T14:31:18ZrdaConverted from PICA to MODS using Pica2MODS XSLT Transformer 2.10 [SCM: "f6c168af690edb7cb65ef34e4a2bf7f8714c5d38" "v2.10" "2024-03-28T14:43:08+0100"] with mode 'DEFAULT'.DatenpublikationForschungsdatenViscosity model for particle-laden fluids (e.g. blood) up to 5 % volume fraction in micro geometry flowsResearch data publication : [research data]This publication shows a viscosity model that accounts for cell migration in blood flow conditions for narrow gap flows and flow conditions similar to that of Ventricular Assist Devices. The groundwork for this model is derived from optical measurements in a microchannel with blood analog fluid and is validated with newly measured data using pig’s blood. The data of the optical measurements is used to determine the particle distribution in the channel. With predefined parameters like the Reynolds number and the Channel Height as well as measurements for the viscosity of the fluid, the viscosity model is then able to calculate and plot the particle concentration and viscosity distribution over the channel height. Also included in this model is a step function that to simplify the distribution. Using this model in simulations showed that the Wall Shear Stress from that Simulations is closer to the values of the experiments than the simulations without this model.FinnKnüppelVerfasserInautUniversity of Rostock, Institute for Turbomachineryhttps://purl.uni-rostock.de/rosdok/id00004583urn:nbn:de:gbv:28-rosdok_id00004583-810.18453/rosdok_id00004583620 Ingenieurwissenschaften und MaschinenbauFakultät für Maschinenbau und SchiffstechnikCC BY 4.0Nutzungsrechte erteiltLizenz Metadaten: CC0frei zugänglich (Open Access)en2024University of RostockRostockmonographic20242024Rostock University LibraryRostock2024Universitätsbibliothek Rostockhttps://purl.uni-rostock.de/rosdok/id00004583This research was supported by the Deutsche Forschungsgemeinschaft (Project number 469384587)[{"name":"Knüppel, Finn","affil":"University of Rostock, Institute for Turbomachinery"}]Finn KnüppelKnüppel, FinnUniversity of Rostock, Institute for Turbomachinerydoctype:epubdoctype:epubDokumenttypDocument typedoctype:datadoctype:dataDatenpublikationdata publicationdiniPublType:ResearchData diniPublType2022:ResearchDatainfo:eu-repo/semantics/otherdocumentnatureOfContent:ppn_857755366natureOfContent:ppn_857755366ForschungsdatendiniPublType2022:ResearchDatadiniPublType2022:ResearchDataForschungsdatenResearch dataKDSFSDNB:620SDNB:620620 Ingenieurwissenschaften und Maschinenbau620 Engineering & allied operations620 Ingenieurwissenschaften und<br/>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;Maschinenbauinstitution:unirostockinstitution:unirostockUniversität RostockUniversity of RostockUniversität RostockUniversität RostockUni.Rostockhttp://d-nb.info/gnd/38329-6institution:unirostock.msfinstitution:unirostock.msfFakultät für Maschinenbau und SchiffstechnikFaculty of Mechanical Engineering and Marine TechnologiesUniversität Rostock. Fakultät für Maschinenbau und SchiffstechnikFakultät für Maschinenbau<br />und SchiffstechnikUni.Rostock.Fakultaet.MSFhttp://d-nb.info/gnd/10085033-9licenseinfo:worklicenseinfo:workWerkworklicenseinfo:work.cclicenselicenseinfo:work.cclicenseCC-LizenzCC-licenselicenseinfo:work.cclicense.cc-bylicenseinfo:work.cclicense.cc-byCC BYCC BYlicenseinfo:work.cclicense.cc-by.v40licenseinfo:work.cclicense.cc-by.v40CC BY 4.0CC BY 4.0/creativecommons/l/by/4.0/88x31.png[DE-28]Namensnennung 4.0 International$cCC BY 4.0$gCreative Commons$uhttps://creativecommons.org/licenses/by/4.0/https://creativecommons.org/licenses/by/4.0/https://creativecommons.org/licenses/by/4.0/licenseinfo:depositlicenseinfo:depositVeröffentlichungsgenehmigungpermission to storelicenseinfo:deposit.rightsgrantedlicenseinfo:deposit.rightsgrantedNutzungsrechte erteiltrights grantedlicenseinfo:metadatalicenseinfo:metadataLizenzen für Metadatenlicenseinfo:metadata.cc0licenseinfo:metadata.cc0Lizenz Metadaten: CC0license metadata: CC0/creativecommons/p/zero/1.0/88x31.pnghttps://creativecommons.org/publicdomain/zero/1.0/accesscondition:openaccessaccesscondition:openaccessfrei zugänglich (Open Access)open accesshttp://purl.org/coar/access_right/c_abf2OAfreeinfo:eu-repo/semantics/openAccess[DE-28]Open Access$gControlled Vocabulary for Access Rights$uhttp://purl.org/coar/access_right/c_abf2rfc5646:enrfc5646:enEnglischEnglishengengViscosity model for particle-laden fluids (e.g. blood) up to 5 % volume fraction in micro geometry flowsResearch data publication : [research data]Viscosity model for particle-laden fluids (e.g. blood) up to 5 % volume fraction in micro geometry flowsResearch data publication : [research data]rosdok_document_0000025412-d195933e65Finn KnüppelFinn KnüppelFinn KnüppelFinn KnüppelFinn KnüppelRostockUniversity of Rostockdatahttps://purl.uni-rostock.de/rosdok/id00004583urn:nbn:de:gbv:28-rosdok_id00004583-810.18453/rosdok_id00004583This publication shows a viscosity model that accounts for cell migration in blood flow conditions for narrow gap flows and flow conditions similar to that of Ventricular Assist Devices. The groundwork for this model is derived from optical measurements in a microchannel with blood analog fluid and is validated with newly measured data using pig’s blood. The data of the optical measurements is used to determine the particle distribution in the channel. With predefined parameters like the Reynolds number and the Channel Height as well as measurements for the viscosity of the fluid, the viscosity model is then able to calculate and plot the particle concentration and viscosity distribution over the channel height. Also included in this model is a step function that to simplify the distribution. Using this model in simulations showed that the Wall Shear Stress from that Simulations is closer to the values of the experiments than the simulations without this model.20242024This research was supported by the Deutsche Forschungsgemeinschaft (Project number 469384587)[{"name":"Knüppel, Finn","affil":"University of Rostock, Institute for Turbomachinery"}]Finn Knüppeldata1 Equation_local_distribution_Re100_phi_5.zip 18314 9e929a053e3197150360f745b38e37df 2 knueppel_2024_documentation.pdf 366731 d017c8e6a74967a04e2d0d7758dc6e4b rosdok/id000045831888021888Oau2024-05-072024-05-15T14:31:18ZrdaConverted from PICA to MODS using Pica2MODS XSLT Transformer 2.10 [SCM: "f6c168af690edb7cb65ef34e4a2bf7f8714c5d38" "v2.10" "2024-03-28T14:43:08+0100"] with mode 'DEFAULT'.DatenpublikationForschungsdatenViscosity model for particle-laden fluids (e.g. blood) up to 5 % volume fraction in micro geometry flowsResearch data publication : [research data]This publication shows a viscosity model that accounts for cell migration in blood flow conditions for narrow gap flows and flow conditions similar to that of Ventricular Assist Devices. The groundwork for this model is derived from optical measurements in a microchannel with blood analog fluid and is validated with newly measured data using pig’s blood. The data of the optical measurements is used to determine the particle distribution in the channel. With predefined parameters like the Reynolds number and the Channel Height as well as measurements for the viscosity of the fluid, the viscosity model is then able to calculate and plot the particle concentration and viscosity distribution over the channel height. Also included in this model is a step function that to simplify the distribution. Using this model in simulations showed that the Wall Shear Stress from that Simulations is closer to the values of the experiments than the simulations without this model.FinnKnüppelVerfasserInautUniversity of Rostock, Institute for Turbomachineryhttps://purl.uni-rostock.de/rosdok/id00004583urn:nbn:de:gbv:28-rosdok_id00004583-810.18453/rosdok_id00004583620 Ingenieurwissenschaften und MaschinenbauFakultät für Maschinenbau und SchiffstechnikCC BY 4.0Nutzungsrechte erteiltLizenz Metadaten: CC0frei zugänglich (Open Access)en2024University of RostockRostockmonographic20242024Rostock University LibraryRostock2024Universitätsbibliothek Rostockhttps://purl.uni-rostock.de/rosdok/id00004583This research was supported by the Deutsche Forschungsgemeinschaft (Project number 469384587)[{"name":"Knüppel, Finn","affil":"University of Rostock, Institute for Turbomachinery"}]Finn Knüppel Knüppel, Finn University of Rostock, Institute for Turbomachinery 2024-05-07T11:09:00.678Z 2024-05-15T14:31:44.205Z 2024-05-25T14:31:44.219Z editorAM {"identifier":"rosdok/id00004583","type":"local_id","additional":"","service":"MCRLocalID","created":"2024-05-07T11:09:00.700Z"} {"identifier":"https://purl.uni-rostock.de/rosdok/id00004583","type":"purl","additional":"","service":"RosDokPURL","created":"2024-05-07T11:09:00.712Z","registrationStarted":"2024-05-15T14:02:03.615Z"} {"identifier":"10.18453/rosdok_id00004583","type":"doi","additional":"","service":"RosDokDOI","created":"2024-05-07T11:09:00.717Z","registrationStarted":"2024-05-15T14:02:03.342Z","registered":"2024-05-15T14:02:04.830Z"} editorAMdatadocumentationViscosity model for particle-laden fluids (e.g. blood) up to 5 % volume fraction in micro geometry flowsResearch data publication : [research data]Viscosity model for particle-laden fluids (e.g. blood) up to 5 % volume fraction in micro geometry flowsResearch data publication : [research data]rosdok_document_0000025412-d195933e65Finn KnüppelFinn KnüppelFinn KnüppelFinn KnüppelFinn KnüppelRostockUniversity of Rostockdatahttps://purl.uni-rostock.de/rosdok/id00004583urn:nbn:de:gbv:28-rosdok_id00004583-810.18453/rosdok_id00004583This publication shows a viscosity model that accounts for cell migration in blood flow conditions for narrow gap flows and flow conditions similar to that of Ventricular Assist Devices. The groundwork for this model is derived from optical measurements in a microchannel with blood analog fluid and is validated with newly measured data using pig’s blood. The data of the optical measurements is used to determine the particle distribution in the channel. With predefined parameters like the Reynolds number and the Channel Height as well as measurements for the viscosity of the fluid, the viscosity model is then able to calculate and plot the particle concentration and viscosity distribution over the channel height. Also included in this model is a step function that to simplify the distribution. Using this model in simulations showed that the Wall Shear Stress from that Simulations is closer to the values of the experiments than the simulations without this model.20242024This research was supported by the Deutsche Forschungsgemeinschaft (Project number 469384587)[{"name":"Knüppel, Finn","affil":"University of Rostock, Institute for Turbomachinery"}]Finn Knüppel[xslt]Saxonrosdok/id00004583https://purl.uni-rostock.de/rosdok/id00004583188802188810.18453/rosdok_id00004583urn:nbn:de:gbv:28-rosdok_id00004583-8Finn KnüppelKnüppel FinnViscosity model for particle-laden fluids (e.g. blood) up to 5 % volume fraction in micro geometry flows : Research data publication : [research data]Datenpublikationdata publicationUniversity of Rostock, 2024This publication shows a viscosity model that accounts for cell migration in blood flow conditions for narrow gap flows and flow conditions similar to that of Ventricular Assist Devices. The groundwork for this model is derived from optical measurements in a microchannel with blood analog fluid and…Finn KnüppelViscosity model for particle-laden fluids (e.g. blood) up to 5 % volume fraction in micro geometry flowsResearch data publication : [research data]Universitätsbibliothek Rostockhttps://purl.uni-rostock.de/rosdok/id00004583FinnKnüppelVerfasserInautUniversity of Rostock, Institute for Turbomachinery[purl]https://purl.uni-rostock.de/rosdok/id00004583[urn]urn:nbn:de:gbv:28-rosdok_id00004583-8[doi]10.18453/rosdok_id00004583open_access20242024epoch:21th_centuryrfc5646:endoctype:dataaccesscondition:openaccessSDNB:620institution:unirostock.msfstate:published