水溶液粘度的溶质聚集模型

在Eyring速率过程理论和Shealy和Sandler的水溶液溶质聚集(SA)模型的基础上,作者建立了一个适用于水溶液粘度的新模型(SAV)。从二元水溶液粘度数据关联得到的模型参数具有明确的物理意义。水溶液中结构效应比热效应对粘度有更大的影响,过量焓和过量活化焓及过量熵和过量活化熵之间分别存在随温度而变的比例常数。对二元水溶液粘度的关联误差一般在1%左右,利用该模型能够满意地根据二元参数预测三元水溶液的粘度数据,误差小于5%。

Solute Aggregation Model for Viscosity of Aqueous Nonelectolyte Solution

A new viscosity model is presented according to the theory of rate processes and solute aggregation for aqueous nonelectrolyte solutions. Each of the adjustable parameters estimated from the viscosity of binary systems has its definite physical meaning. It is found that the ordering in aqueous solution have a larger effect on the excess free energy of activation of viscous flow than heat of mixing. There are two different proportionality constants between excess enthalpy and excess enthalpy of activation of viscous flow, and between excess entropy and excess entropy of activation of viscous flow. The correlation deviation for binary system is generally less than 1%. The prediction of viscosity for ternary aqueous solutions is satis- factory with the use of the binary parameters, the deviation is less than 5%.