高压汽液平衡的统计回归与推算(Ⅱ)

Statistical Regression and Prediction of High-Pressure Vapour-Liquid Equilibria (Ⅱ)

对前文（Ⅰ）[10]中的二元统计回归结果中的两组回归结果进行了残差分析，进一进证实了新的DDLC-SRK模型优于SRK方程,同时还对DDLC-SRK模型证实了统计回归方法求得的参数更为可靠．另外进行了三元高压汽液平衡的推算，结果表明，应用DDLC-SRK模型的统计回归推算精度优于其经典方法，而应用SRK方程的统计回归推算精度与其经典方法相近。

The investigation reports the residual analysis of two sets of the statistical regression results in the paper (Ⅰ). The new DDLC-SRK model was further proved to give better results than the SRK equation and the binary interaction parameters of the DDLC-SRK model obtained by statistical regression was found to be more reliable than those obtained by classical regression. The ternary high-pressure vapour-liquid equilibrium data were predicted by utilizing the binary interaction paramters of both the statistical and the classical regressions of the SRK eguation and the DDLC-SRK model. The prediction accuracy of the statistical regression was better than that of the classical regression for the DDLC-SRK model. while the prediction accuracy of the statistical regression was similar with that of the classical regression in the SRK equation.