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Materialeigenschaften
\n\nN-Pentane
\nDynamische Viskosität: \t 2.395 x 10-4 N s m-2
\nDichte: \t 626.2 kg m-3
\nLeitfähigkeit: \t 2 x 10-12 S m-1
\nRelative Permittivität: \t 1.844
\n\nStickstoff (N_2)
\nDynamische Viskosität: \t 2.173 x 10-5 N s m-2
\nDichte: \t 1.251 kg m-3
\nLeitfähigkeit: \t 5 x 10-15 S m-1
\nRelative Permittivität: \t 1.000538
\n \nOberflächenspannung \t 1.56e-2 N m-1
\n\n \n
Aufbau des Simulationsmodells
\nDie achsensymmetrischen Simulationen werden auf einem 5°-Ausschnittrechengebiet durchgeführt. Das Simulationsergebnis der Anfüllung eines N-Pentantröpfchens ohne Feldanregung wird als Anfangsbedingung übernommen. Der Massenfluss ist 6g h-1. Die Spannungsanregung wird als Dirichlet Randbedingung eingeprägt. Weiterführende Informationen werden in der Publikation doi: 10.1016/j.ijheatfluidflow.2017.02.007 bereitgestellt.\n
Ergebnisvisualisierung
\nDie Ergebnisse sind als .vtk Dateien im Binärformat beigefügt. Jedes Teilergebnis ist nach dem entsprechenden Zeitschritt benannt, beginnend mit dem Start des Ablösevorgangs."},"author":{"citation:authorName":"Quedraogo, Yun","citation:authorAffiliation":"Technische Universität Darmstadt"},"engMetaMeasuredVar":[{"engMetaMeasuredVarName":"Electric field","engMetaMeasuredVarSymbol":"E"},{"engMetaMeasuredVarName":"Veloctiy","engMetaMeasuredVarSymbol":"U"},{"engMetaMeasuredVarName":"Pressure","engMetaMeasuredVarSymbol":"p"},{"engMetaMeasuredVarName":"Volume fraction","engMetaMeasuredVarSymbol":"alpha"},{"engMetaMeasuredVarName":"charge density","engMetaMeasuredVarSymbol":"rho_E"}],"processSoftware":[{"processSoftwareName":"ParaView","processSoftwareCitation":"Ayachit, Utkarsh, The ParaView Guide: A Parallel Visualization Application, Kitware, 2015, ISBN 978-1930934306","processSoftwareVersion":"5.9","processSoftwareURL":"https://www.paraview.org/download/?version=v5.9","processSoftwareLicence":"3-clause BSD"},{"processSoftwareName":"VTK","processSoftwareCitation":"Schroeder, Will; Martin, Ken; Lorensen, Bill (2006), The Visualization Toolkit (4th ed.), Kitware, ISBN 978-1-930934-19-1","processSoftwareVersion":"9.0.1","processSoftwareURL":"https://vtk.org/download/","processSoftwareLicence":"3-Clause BSD"}],"citation:datasetContact":{"citation:datasetContactName":"Steigerwald, Jonas","citation:datasetContactAffiliation":"Universität Stuttgart"},"publication":{"publicationCitation":"Ouedraogo, Y., Gjonaj, E., Weiland, T., De Gersem, H., Steinhausen, C., Lamanna, G., Weigand, B., Preusche, A., Dreizler, A. and Schremb, M., \"Electrohydrodynamic simulation of electrically controlled droplet generation\", International Journal of Heat and Fluid Flow 64,120-128, 2017","publicationIDType":"doi","publicationIDNumber":"10.1016/j.ijheatfluidflow.2017.02.007","publicationURL":"https://doi.org/10.1016/j.ijheatfluidflow.2017.02.007"},"dateOfDeposit":"2021-04-12","title":"Data for: Electrohydrodynamic simulation of electrically controlled droplet generation","subject":["Engineering","Physics"],"EngMeta:engMetaMode":"Simulation","kindOfData":"Numerical results","citation:depositor":"Steigerwald, Jonas","@id":"https://doi.org/10.18419/darus-1793","@type":["ore:Aggregation","schema:Dataset"],"schema:version":"1.0","schema:name":"Data for: Electrohydrodynamic simulation of electrically controlled droplet generation","schema:dateModified":"Mon Jul 24 14:45:17 CEST 2023","schema:datePublished":"2021-04-29","schema:license":"http://creativecommons.org/licenses/by/4.0","dvcore:fileTermsOfAccess":{"dvcore:termsOfAccess":"Please request the access to the data set via e-mail (see Contact button).","dvcore:fileRequestAccess":true},"schema:includedInDataCatalog":"DaRUS","schema:isPartOf":{"schema:name":"Subarea A5","@id":"https://nfldevdataverse2.rus.uni-stuttgart.de/dataverse/itlr_trr75_TP-A5","schema:description":"Simulation of the mechanical deformation and movement of droplets under the influence of high electric fields","schema:isPartOf":{"schema:name":"Collaborative Research Center Transregio 75 (SFB-TRR 75)","@id":"https://nfldevdataverse2.rus.uni-stuttgart.de/dataverse/SFB-TRR75","schema:description":"The fundamental understanding of droplet dynamics is the critical prerequisite to the prediction of natural processes and the optimization of technical systems. 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