Predictive Corresponding-States Viscosity Model for the Entire Fluid Region: n-Alkanes

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• 作者：Lawrence T. Novak
• 刊名：Industrial & Engineering Chemistry Research
• 出版年：2013
• 出版时间：May 22, 2013
• 年：2013
• 卷：52
• 期：20
• 页码：6841-6847
• 全文大小：307K
• 年卷期：v.52,no.20(May 22, 2013)
• ISSN：1520-5045

文摘

Previous work by the author demonstrated a novel approach for correlating the scaled self-diffusion coefficient, viscosity, and thermal conductivity with the residual entropy over the entire fluid region. It is shown here that a new entity-based scaled viscosity model correlates pure n-alkane components to a single semilogarithmic line with the entity residual entropy. With five fitting parameters, a 5.2% group average of the absolute relative deviations (AADs) is obtained over the entire fluid region for a group of 17 n-alkanes, ranging from methane to linear polyethylene with a molecular weight of 1280 g/mol. It was also found that these same five fitting parameters predict the fluid viscosity of some other alkanes, ethers, and olefins. Thus, the entity-based scaling approach introduced here provides a predictive corresponding-states model for fluid viscosity of nonassociating molecules and is a practical approach to determining viscosity in process engineering, product engineering, oil and gas reservoir engineering, pipelines, and fracking applications. This entity-based scaled viscosity-entity residual entropy model is particularly useful in the critical region and at high pressures because the traditional saturated liquid and saturated vapor viscosity component correlations are not applicable.