Jouyban Abolghasem, Khoubnasabjafari Maryam, Vaez-Gharamaleki Zahra, Fekari Zohreh, Acree William Eugene
School of Pharmacy, Tabriz University of Medical Sciences, Tabriz, Iran.
Chem Pharm Bull (Tokyo). 2005 May;53(5):519-23. doi: 10.1248/cpb.53.519.
Applicability of the Jouyban-Acree model for calculating absolute viscosity of binary liquid mixtures with respect to temperature and mixture composition is proposed. The correlation ability of the model is evaluated by employing viscosity data of 143 various aqueous and non-aqueous liquid mixtures at various temperatures collected from the literature. The results show that the model is able to correlate the data with an overall percentage deviation (PD) of 1.9+/-2.5%. In order to test the prediction capability of the model, three experimental viscosities from the highest and lowest temperatures along with the viscosities of neat liquids at all temperatures have been employed to train the model, then the viscosity values at other mixture compositions and temperatures were predicted and the overall PD obtained is 2.6+/-4.0%.
提出了Jouyban-Acree模型在计算二元液体混合物绝对粘度随温度和混合物组成变化方面的适用性。通过采用从文献中收集的143种不同的水性和非水性液体混合物在不同温度下的粘度数据,评估了该模型的关联能力。结果表明,该模型能够以1.9±2.5%的总百分比偏差(PD)关联数据。为了测试该模型的预测能力,采用了最高和最低温度下的三个实验粘度以及所有温度下纯液体的粘度来训练模型,然后预测其他混合物组成和温度下的粘度值,得到的总PD为2.6±4.0%。