润滑油基础油结构族组成的预测

Prediction of the Structural Group Compositions of Lube Base Oil

测定了11种来自不同地区的润滑油基础油的部分物性(如碳氢原子比、密度、黏度、折光率、平均相对分子质量等),并对润滑油基础油的结构族组成用不同方法进行了分析。提出采用润滑油基础油的基本物性,通过模型的构建、模型表征因子及预测模型的确立来确定芳香碳率(C A)、环烷碳率(C N)和烷基碳率(C P)的预测模型方程式。用预测模型方程式计算了润滑油基础油的结构族组成,并与n-d-M法和改进B-L法的计算结果进行比较。分析实验数据发现,预测模型的结果优于n-d-M法的结果,与改进B-L法的结果接近,C A,C N,C P的最大偏差分别为3.96%,4.21%,3.79%。预测模型具有一定的应用价值。

The physical properties of 11 lube base oils, namely the atomic ratio of carbon to hydrogen, density, viscosity, refractive index and average relative molecular mass, were determined and their structural group compositions were studied by different analysis methods. Models for predicting the aromatic carbon rates （CA）, naphthenic carbon rates（Cy） and alkyl carbon rates（Cv） were established using the physical properties and calculated model characterization factors. The structural group compositions of the lube base oils were calculated by the models with CA, CN and Cv, and the results were compared with those obtained by the n-d-M method and improved B-L method. The analysis of the experimental data showed that the results obtained by the predicting models were superior to those obtained by the n-d-M method, and were similar to those obtained by the improved B-L method. The maximum deviations of CA, CN and Cv were 3.96%, 4.21% and 3.79%, respectively.