Statistical Regression and Cross-Prediction of Multicomponent Fluid Phase Equilibria

李平; 宗贞兰; 杨锡好; 郑锡胤

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Statistical Regression and Cross-Prediction of Multicomponent Fluid Phase Equilibria

更新时间：2025-12-16

- Statistical Regression and Cross-Prediction of Multicomponent Fluid Phase Equilibria
- CIESC Journal Issue 4, (1986)
- 作者机构：
  
  大连工学院,大连工学院,大连工学院,大连工学院
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：25 December 1986，
  
  Published：25 December 1986
- 稿件说明：
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李平, 宗贞兰, 杨锡好, et al. Statistical Regression and Cross-Prediction of Multicomponent Fluid Phase Equilibria[J]. CIESC Journal, 1986, (4).
DOI：

李平, 宗贞兰, 杨锡好, et al. Statistical Regression and Cross-Prediction of Multicomponent Fluid Phase Equilibria[J]. CIESC Journal, 1986, (4). DOI：

摘要

本文应用普遍化最大似然原理及其他统计回归判据、由21套三元液液、汽液及汽液液平衡数据、分别求得三种局部组成模型(NRTL、FHW、UNIQUAC)的配偶参数并比较其拟合精度.结果证实、应用最大似然原理可以提高多元流体相平衡的关联与推算精度.其次由所得的配偶参数来探讨在液液、汽液及汽液液平衡之间进行相互推算的可靠性与局限性、从而阐明液液平衡与汽液平衡的差异与内在联系.

Abstract

The generalized maximum likelihood principle and other statistical regression techniques were applied to 21 sets of ternary LLE

VLE and VLLE data for estimating the pair parameters of three local-composition models (NRTL

FHW and UNIQUAC)

and the corresponding fitting accuracies were compared. Calculational results showed that the correlation and prediction of multicomponent fluid phase equilibria may be greatly improved by applying the maximum likelihood principle. Furthermore

the reliability and limitation of the cross-prediction among LLE. VLE and VLLE were investigated by utilizing the pair parameters obtained from binary and ternary data for the three models. The gap and interdependence between LLE and VLE were also discussed.

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