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Introducing hydrogen bonding term to the Patel-Teja viscosity equation of state for hydrochlorofluorocarbons, hydrofluorocarbons and hydrofluoroolefins
Fluid Phase Equilibria ( IF 2.6 ) Pub Date : 2021-07-20 , DOI: 10.1016/j.fluid.2021.113178
Mohammad Niksirat 1 , Fatemeh Aeenjan 2 , Shahin Khosharay 1
Affiliation  

The hydrogen bonding term is added to the Patel-Teja viscosity equation of state for the first time to predict the viscosity of the liquid mixtures of hydrochlorofluorocarbons, hydrofluorocarbons and hydrofluoroolefins. Firstly, the parameters of the 17 pure substances are regressed for two ranges of pressure, including (1-500) bar and (1-1000) bar. The present model successfully reproduces the viscosity values (Overall AADs%=4.66% and 4.78% for these two ranges of pressure). Then the viscosity equation of state has been extended to binary and multicomponent liquid mixtures by using two different mixing rules and considering the cross association. The performance of this model is tested through the viscosities of 8 binary liquid mixtures and 3 multi-component liquid mixtures. Moreover, the binary interaction parameter is set equal to zero to make this model predictive. The results of the present model prove that the addition of hydrogen bonding term leads to the generally low deviations for all liquid mixtures (Overall AADs% are 4.27% for 4.37% for binary and multicomponent liquid mixtures, respectively).



中文翻译:

将氢键项引入氢氯氟烃、氢氟烃和氢氟烯烃的 Patel-Teja 粘度状态方程

首次在 Patel-Teja 粘度状态方程中加入氢键项来预测氢氯氟烃、氢氟烃和氢氟烯烃的液体混合物的粘度。首先,17种纯物质的参数在两个压力范围内回归,包括(1-500)bar和(1-1000)bar。本模型成功地再现了粘度值(这两个压力范围的总 AADs%=4.66% 和 4.78%)。然后通过使用两种不同的混合规则并考虑交叉关联,将粘度状态方程扩展到二元和多组分液体混合物。该模型的性能通过 8 种二元液体混合物和 3 种多组分液体混合物的粘度进行测试。而且,二元交互参数设置为零以使该模型具有预测性。本模型的结果证明,添加氢键项导致所有液体混合物的偏差通常较低(对于二元和多组分液体混合物,总体 AADs% 分别为 4.27% 和 4.37%)。

更新日期:2021-07-26
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