Mixing Rules Based on Power Means and Generalized q-Fractions

JOURNAL OF CHEMICAL ENGINEERING OF JAPAN

Maria H. Ackermann²  Roelof L. J. Coetzer¹  Walter W. Focke² 

[1] Sasol Technology Research and Development;Institute of Applied Materials, Department of Chemical Engineering, University of Pretoria

关键词: Mixture Models;    Scheffé Polynomial;    Surface Tension;    Viscosity;    Weighted Power Means;   

DOI  :  10.1252/jcej.11we003

来源: Maruzen Company Ltd

【 摘 要 】

References(38)Cited-By(3)The linear blending rule (LBR) is the simplest mixing rule linking physical properties with mixture composition. It is just a composition-weighted arithmetic mean over the pure component property values. Unfortunately, the composition dependence of most mixture properties shows nonlinear deviations from the LBR. The conventional approach is to use higher-order Scheffé polynomials. However, this introduces cross-parameters that characterize nonlinear blending effects and that require extensive mixture data for their evaluation. Instead, we propose new parameter-sparse mixing rules that feature pure component parameters only. The new mixing rules were constructed by (i) employing composition-weighted power means, (ii) transforming the composition variables via Wohl’s q-fraction concept, and (iii) combinations of these two approaches.

【 授权许可】

Unknown