Number of the records: 1  

Evaluation of Diffusivity in Dense Polymeric Membranes by Statistical Moment Analysis

  1. 1.
    SYSNO ASEP0391468
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleEvaluation of Diffusivity in Dense Polymeric Membranes by Statistical Moment Analysis
    Author(s) Řezníčková Čermáková, Jiřina (UCHP-M) RID
    Kudrna, Vladimír (UCHP-M)
    Setničková, Kateřina (UCHP-M) RID, ORCID, SAI
    Uchytil, Petr (UCHP-M) RID, SAI
    Source TitleJournal of Membrane Science. - : Elsevier - ISSN 0376-7388
    Roč. 435, 15 MAY (2013), s. 46-51
    Number of pages6 s.
    Languageeng - English
    CountryNL - Netherlands
    Keywordsdiffusion ; membranes ; transport processes
    Subject RIVCI - Industrial Chemistry, Chemical Engineering
    R&D ProjectsGA104/09/1165 GA ČR - Czech Science Foundation (CSF)
    Institutional supportUCHP-M - RVO:67985858
    UT WOS000317387400005
    DOI10.1016/j.memsci.2013.01.050
    AnnotationA robust procedure to estimate vapor diffusion coefficients from unsteady state measurements is proposed. The permeate flux is measured for a step change in the inlet. The method is based on the interpretation of the normalized permeate flux over time as an integral distribution function. Under the assumption that Fick’s second law is valid, a relation between the first two statistical moments and the diffusion coefficient was found. The resulting expressions are surprisingly short, convenient to use and robust against errors in determining the actual begin time of an experiment. Furthermore, a ratio involving the first two statistical moments yields a constant number. The comparison with the same ratio obtained from experimental data shows whether an unsteady permeation process described above obeys Fick’s second law with constant diffusion coefficient.
    WorkplaceInstitute of Chemical Process Fundamentals
    ContactEva Jirsová, jirsova@icpf.cas.cz, Tel.: 220 390 227
    Year of Publishing2014
Number of the records: 1  

  This site uses cookies to make them easier to browse. Learn more about how we use cookies.