Prediction of the McAllister Model Parameters from Pure Component Properties of Regular Binary Liquid Mixtures
作者： Abdulghanni H. Nhaesi , Abdul-Fattah A. Asfour
DOI: 10.1021/IE950586B
关键词: Thermodynamics 、 Carbon number 、 Model parameters 、 Absolute deviation 、 Binary number 、 Viscosity 、 Data point 、 Chemistry 、 Component (thermodynamics) 、 Experimental data
摘要: A new method based on the effective carbon number is presented for predicting McAllister model interaction parameters from pure component properties regular binary liquid mixtures. The viscosity prediction results have been compared with experimental data 128 systems representing 785 points; overall absolute average deviation has found to be generally better than 3.6%.
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