• español
  • English
  • français
  • Deutsch
  • português (Brasil)
  • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Ricerca

    Tutto UVaDOCArchiviData di pubblicazioneAutoriSoggettiTitoli

    My Account

    Login

    Estadísticas

    Ver Estadísticas de uso

    Compartir

    Mostra Item 
    •   UVaDOC Home
    • PROGETTI DI LAUREA FINALE
    • Trabajos Fin de Grado UVa
    • Mostra Item
    •   UVaDOC Home
    • PROGETTI DI LAUREA FINALE
    • Trabajos Fin de Grado UVa
    • Mostra Item
    • español
    • English
    • français
    • Deutsch
    • português (Brasil)
    • italiano

    Exportar

    RISMendeleyRefworksZotero
    • edm
    • marc
    • xoai
    • qdc
    • ore
    • ese
    • dim
    • uketd_dc
    • oai_dc
    • etdms
    • rdf
    • mods
    • mets
    • didl
    • premis

    Citas

    Por favor, use este identificador para citar o enlazar este ítem:http://uvadoc.uva.es/handle/10324/26110

    Título
    Prediction of the viscosity of mixtures from VLE correlation parameters
    Autor
    Ndebele, Mthobisi Sbonelo
    Director o Tutor
    Mato Chaín, Rafael BartoloméAutoridad UVA
    Editor
    Universidad de Valladolid. Escuela de Ingenierías IndustrialesAutoridad UVA
    Año del Documento
    2017
    Titulación
    Grado en Ingeniería Química
    Abstract
    Viscosity properties of liquid and liquid mixtures are important to understand molecular interactions between the components of mixtures and for engineering process involving mass transfer, heat transfer and fluid flow. Thus, it is necessary to have reliable and accurate methods of obtaining viscosities of liquid mixtures rather than being dependent on experimental data. A study between activity coefficient and viscosity parameters was conducted in an attempt to determine if there is any correlation between these variables. A total number of 40 binary liquid mixtures were used to regress viscosity binary interactions parameters. Viscosity parameters were regressed from infinite dilution activity coefficients, using excel solver. The viscosity deviations were reduced from 9.44 to 8.05 using a polynomial equation, while regression of Andrade parameters using Aspen Plus reduced it to 3.61. Thus, this attempt to predict viscosity parameters from VLE correlations was not as successful as expected..
    Materias (normalizadas)
    Termodinámica
    Líquidos - Viscosidad
    Departamento
    Departamento de Ingeniería Química y Tecnología del Medio Ambiente
    Idioma
    eng
    URI
    http://uvadoc.uva.es/handle/10324/26110
    Derechos
    openAccess
    Aparece en las colecciones
    • Trabajos Fin de Grado UVa [30977]
    Mostra tutti i dati dell'item
    Files in questo item
    Nombre:
    TFG-I-762.pdf
    Tamaño:
    462.4Kb
    Formato:
    Adobe PDF
    Descripción:
    Semestre Internacional
    Thumbnail
    Mostra/Apri
    Attribution-NonCommercial-NoDerivatives 4.0 InternationalLa licencia del ítem se describe como Attribution-NonCommercial-NoDerivatives 4.0 International

    Universidad de Valladolid

    Powered by MIT's. DSpace software, Version 5.10