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  • 1
    Digitale Medien
    Digitale Medien
    Springer
    International journal of thermophysics 16 (1995), S. 723-731 
    ISSN: 1572-9567
    Schlagwort(e): complex mixtures ; equation of state ; multiphase equilibria ; nonrandom lattice theory ; polymer solutions ; supercritical fluids
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Physik
    Notizen: Abstract A new riogorous equation of state (EOS) and its simplified version have been proposed by the present authors based on the full Guggenheim combinatorics ] of the nonrandom lattice hole theory. The simplified EOS. with the introduction of the concept of local composition, becomes similar to the density-dependent UNIQUAC model. However, im the present approach we have a volumetric EOS instead of the excess Gibbs function. Both EOSs were tested for their applicability in correlating the phase equilibria behavior of pure components and complex mixtures. Comparison of both models with experiment includes such systems as nonpolar nonpolar, nonpolar polar, and polar polar hydrocarbons, supercritical systems, and polymer solutions. With two parameters for each pure component and one binary interaction energy parameter, results obtained to date demonstrate that both formulations are quantitatively applicable to complex systems oer a wide range of temperatures, pressures, and concentrations.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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  • 2
    Digitale Medien
    Digitale Medien
    Springer
    International journal of thermophysics 19 (1998), S. 707-717 
    ISSN: 1572-9567
    Schlagwort(e): lattice-hole theory ; polymer solutions ; specific volume ; vapor–liquid equilibria
    Quelle: Springer Online Journal Archives 1860-2000
    Thema: Physik
    Notizen: Abstract A generalized group-contribution (GC) scheme with an equation of state (EOS) presented previously by the present authors was extended to the prediction of specific volumes of pure polymers and vapor–liquid equilibria of polymer solutions. The GC-EOS requires only two parameters, representing group size and interaction between groups. A unique feature of the approach is that a single set of group information can be applied to predict both the configurational properties of pure polymers and mixtures in general. The approach was illustratively applied to the prediction of the density of pure polymers, vapor pressures of organic solvents, and phase equilibria of their polymer solutions.
    Materialart: Digitale Medien
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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