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A Predictive Corresponding States Model for Viscosity of Nonpolar and Polar Mixtures

机译:非极性和极性混合物粘度的预测对应状态模型

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This work presents a viscosity prediction model for mixtures based on a three parameters corresponding states format assuming the one-fluid model technique. Pseudocritical properties. obtained from mixing rules applied in predictive mode and avoiding the input of any mixture experimental data, are used for the model. Viscosity equations for mixtures of fluids of a same family, for which a certain viscosity surface conformality has been previously verified, are then obtained with good accuracy. The nonpolar alkanes and the polar halogenated alkanes, also known as refrigerants, are assumed for validation. These two group of fluids were selectee because for some of their components dedicated viscosity equations and dedicated equations of state are avilable as well as experimental viscosity data. T total of 1610 experimental points of several systems has been considered for validation with a global AAD of 4.2percent. The accuracy level reached through this predictive model is similr to the pure fluids viscosity dedicated equations.
机译:这项工作提出了一种混合物的粘度预测模型,该模型基于假设单流体模型技术的三个参数对应的状态格式。伪临界属性。从预测模式中应用的混合规则获得的结果(避免输入任何混合实验数据)将用于模型。然后,可以以较高的精度获得同一族的流体混合物的粘度方程式,该方程式已事先验证了一定的粘度表面保形性。假定使用非极性烷烃和极性卤代烷烃(也称为制冷剂)进行验证。之所以选择这两类流体,是因为对于它们的某些成分,可以使用专用的粘度方程式和专用的状态方程式以及实验粘度数据。总共考虑了多个系统的1610个实验点进行验证,全球AAD为4.2%。通过此预测模型达到的精度水平类似于纯流体粘度专用方程。

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