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Viscosity and self-diffusion coefficients of dialkyl adipates: a correlation scheme with predictive capabilities

2015-12Journal article Restricted access
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dc.contributor.authorAvelino, Helena Maria Da Nóbrega Teixeira
dc.contributor.authorDiogo, João C. F.
dc.contributor.authorCaetano, Fernando J. P.
dc.contributor.authorFareleira, João M. N. A.
dc.date.accessioned2016-05-04T09:05:12Z
dc.date.available2016-05-04T09:05:12Z
dc.date.issued2015-12
dc.description.abstractA correlation and predictive scheme for the viscosity and self-diffusivity of liquid dialkyl adipates is presented. The scheme is based on the kinetic theory for dense hard-sphere fluids, applied to the van der Waals model of a liquid to predict the transport properties. A "universal" curve for a dimensionless viscosity of dialkyl adipates was obtained using recently published experimental viscosity and density data of compressed liquid dimethyl (DMA), dipropyl (DPA), and dibutyl (DBA) adipates. The experimental data are described by the correlation scheme with a root-mean-square deviation of +/- 0.34 %. The parameters describing the temperature dependence of the characteristic volume, V-0, and the roughness parameter, R-eta, for each adipate are well correlated with one single molecular parameter. Recently published experimental self-diffusion coefficients of the same set of liquid dialkyl adipates at atmospheric pressure were correlated using the characteristic volumes obtained from the viscosity data. The roughness factors, R-D, are well correlated with the same single molecular parameter found for viscosity. The root-mean-square deviation of the data from the correlation is less than 1.07 %. Tests are presented in order to assess the capability of the correlation scheme to estimate the viscosity of compressed liquid diethyl adipate (DEA) in a range of temperatures and pressures by comparison with literature data and of its self-diffusivity at atmospheric pressure in a range of temperatures. It is noteworthy that no data for DEA were used to build the correlation scheme. The deviations encountered between predicted and experimental data for the viscosity and self-diffusivity do not exceed 2.0 % and 2.2 %, respectively, which are commensurate with the estimated experimental measurement uncertainty, in both cases.pt_PT
dc.identifier.citationAVELINO, Helena Maria N. T.; [et al] - Viscosity and self-diffusion coefficients of dialkyl adipates: a correlation scheme with predictive capabilities. Journal of Chemical and Engineering Data. ISSN 0021-9568. Vol. 60, N.º 12 (2015), pp. 3696-3702pt_PT
dc.identifier.doi10.1021/acs.jced.5b00622pt_PT
dc.identifier.issn0021-9568
dc.identifier.issn1520-5134
dc.identifier.urihttp://hdl.handle.net/10400.21/6152
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherAmer Chemical SOCpt_PT
dc.subjectFluid transport-coefficientspt_PT
dc.subjectDiethyl adipatept_PT
dc.subjectDensity-measurementspt_PT
dc.subjectLiquid toluenept_PT
dc.subjectPressurespt_PT
dc.subjectDipropylpt_PT
dc.subjectDimethylpt_PT
dc.subjectDibutylpt_PT
dc.titleViscosity and self-diffusion coefficients of dialkyl adipates: a correlation scheme with predictive capabilitiespt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.awardURIinfo:eu-repo/grantAgreement/FCT/3599-PPCDT/PEst-OE%2FQUI%2FUI0100%2F2013/PT
oaire.citation.endPage3702pt_PT
oaire.citation.issue12pt_PT
oaire.citation.startPage3696pt_PT
oaire.citation.titleJournal of Chemical and Engineering Datapt_PT
oaire.citation.volume60pt_PT
oaire.fundingStream3599-PPCDT
person.familyNameAvelino
person.givenNameHelena Maria da Nóbrega Teixeira
person.identifier.ciencia-id9615-6337-5695
person.identifier.orcid0000-0001-6516-2164
person.identifier.scopus-author-id14919229800
project.funder.identifierhttp://doi.org/10.13039/501100001871
project.funder.nameFundação para a Ciência e a Tecnologia
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication9465688d-83d6-42bb-9ec3-c86eb756f458
relation.isAuthorOfPublication.latestForDiscovery9465688d-83d6-42bb-9ec3-c86eb756f458
relation.isProjectOfPublication61da5932-f392-4692-bb6c-df647fd26901
relation.isProjectOfPublication.latestForDiscovery61da5932-f392-4692-bb6c-df647fd26901

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