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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.contributor.authorunicampSoares, Luan Henrique-
dc.contributor.authorunicampGuirardello, Reginaldo-
dc.typeArtigopt_BR
dc.titleA simple group contribution model to predict thermal conductivity of pure ionic liquidspt_BR
dc.contributor.authorSoares, Luan H.-
dc.contributor.authorGuirardello, Reginaldo-
dc.contributor.authorRolemberg, Marlus P.-
dc.subjectCondutividade térmicapt_BR
dc.subjectLíquidos iônicospt_BR
dc.subject.otherlanguageThermal conductivitypt_BR
dc.subject.otherlanguageIonic liquidspt_BR
dc.description.abstractIonic liquids (ILs) have been attracted considerable attention in separation and purification processes as green solvents. Researchers use ILs in many areas, such as micro-extraction and catalysis in biodiesel production. However, there are still few studies about it. A comprehension of ILs thermophysical properties, for example, heat capacity and thermal conductivity may improve new technological processes and minimize energy costs. Since these fluids can be composed of different ions, it is harder to obtain these properties for several ILs. Therefore, this paper evaluated a group contribution (GC) model from the literature due to be accurate and straightforward for thermal conductivity (k) prediction of pure ionic liquids in a wide range of temperatures at atmospheric pressure. Once ILs containing C(CN)3-, B(CN)4-, DCA-, CH3COO-, HOPO2-, SER-, LIS-, CYS-, PRO-, TAU-, THR-, VAL- and FAP- groups are commercially used, and the authors did not use an experimental database of ILs containing these anions, the model is unable to predict k for them. In this manner, from ILThermo, a larger experimental database including these anions was used to propose GC parameters for them and reestimate the others. This was done by minimizing the sum of the square of the residues comparing calculated and experimental value to obtain each group contribution parameter, using the generalized reduced gradient algorithm in Excel® and VBA programming. The revised model obtained results with mean deviation of 1.16 % for k prediction, including 13 more GC parameters. Both models were compared to predict k for other data set, not used in the parameters estimation. The proposed model was better in all evaluated cases and increased the amount of ILs to predict kpt_BR
dc.relation.ispartofChemical engineering transactionspt_BR
dc.publisher.cityMilãopt_BR
dc.publisher.countryItáliapt_BR
dc.publisherAIDIC / Associazione Italiana Di Ingegneria Chimicapt_BR
dc.date.issued2019-
dc.date.monthofcirculationMay.pt_BR
dc.language.isoengpt_BR
dc.description.volume74pt_BR
dc.description.firstpage1195pt_BR
dc.description.lastpage1200pt_BR
dc.rightsFechadopt_BR
dc.sourceSCOPUSpt_BR
dc.identifier.eissn2283-9216pt_BR
dc.identifier.doi10.3303/CET1974200pt_BR
dc.identifier.urlhttps://www.cetjournal.it/index.php/cet/article/view/CET1974200pt_BR
dc.description.sponsorshipCONSELHO NACIONAL DE DESENVOLVIMENTO CIENTÍFICO E TECNOLÓGICO - CNPQpt_BR
dc.description.sponsordocumentnumber167869/2018-3pt_BR
dc.date.available2020-06-09T14:43:10Z-
dc.date.accessioned2020-06-09T14:43:10Z-
dc.description.provenanceSubmitted by Susilene Barbosa da Silva (susilene@unicamp.br) on 2020-06-09T14:43:10Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-09-03T11:56:04Z : No. of bitstreams: 1 2-s2.0-85067078069.pdf: 798492 bytes, checksum: af6605818ee411d0c76172a09ccee12b (MD5)en
dc.description.provenanceMade available in DSpace on 2020-06-09T14:43:10Z (GMT). No. of bitstreams: 0 Previous issue date: 2019en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/342987-
dc.contributor.departmentSem informaçãopt_BR
dc.contributor.departmentDepartamento de Desenvolvimento de Processos e Produtospt_BR
dc.contributor.unidadeFaculdade de Engenharia Químicapt_BR
dc.contributor.unidadeFaculdade de Engenharia Químicapt_BR
dc.subject.keywordSimple Grouppt_BR
dc.identifier.source2-s2.0-85067078069pt_BR
dc.creator.orcidSem informaçãopt_BR
dc.creator.orcid0000-0001-9458-0808pt_BR
dc.type.formArtigo de pesquisapt_BR
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