Mixing Rules Based on Power Means and Generalized q-Fractions
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概要
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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 Wohls q-fraction concept, and (iii) combinations of these two approaches.
著者
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Focke Walter
Institute Of Applied Materials Department Of Chemical Engineering University Of Pretoria
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ACKERMANN Maria
Institute of Applied Materials, Department of Chemical Engineering, University of Pretoria
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COETZER Roelof
Sasol Technology Research and Development
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Ackermann Maria
Institute Of Applied Materials Department Of Chemical Engineering University Of Pretoria
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