Prediction of the Vapor-liquid Equilibria for Polymer Solutions Based on PSRK Model

Min LI; Li-sheng WANG; Zhao-feng LIANG

doi:10.14028/j.cnki.1003-3726.2004.02.011

您当前的位置：

首页 >

文章列表页 >

Prediction of the Vapor-liquid Equilibria for Polymer Solutions Based on PSRK Model

更新时间：2022-09-18

- Prediction of the Vapor-liquid Equilibria for Polymer Solutions Based on PSRK Model
- Polymer Bulletin Vol. 17, Issue 2, Pages: 75-77,84(2004)
- 作者机构：
  
  北京理工大学化工与环境学院，北京　100081
- 作者简介：
- 基金信息：
- DOI：10.14028/j.cnki.1003-3726.2004.02.011
  CLC：
- Published：2004-04，
扫描看全文
Min LI, Li-sheng WANG, Zhao-feng LIANG. Prediction of the Vapor-liquid Equilibria for Polymer Solutions Based on PSRK Model. [J]. Polymer Bulletin 17(2):75-77,84(2004)
DOI：

Min LI, Li-sheng WANG, Zhao-feng LIANG. Prediction of the Vapor-liquid Equilibria for Polymer Solutions Based on PSRK Model. [J]. Polymer Bulletin 17(2):75-77,84(2004) DOI： 10.14028/j.cnki.1003-3726.2004.02.011.

摘要

为了更好地预测高分子溶液的汽液平衡，本文应用PSRK 模型改进的混合规则［即将组合项（Σ

）与原UNIFAC 模型中的组合项（Flory-Huggins 项）相抵消所获得的简化的混合规则］来计算方程的能量参数a。为了计入自由体积效应对高分子溶液的过量Gibbs 自由能的贡献，在计算体积参

时，将原混合规则中的指数修订为

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=34347211&type=

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=34347216&type=

http://html.publish.founderss.cn/rc-pub/api/common/picture?pictureId=34347214&type=

。应用PSRK 模型结合改进的混合规则预测二元高分子溶液体系的汽液平衡，结果表明新模型的计算精度是令人满意的。

Abstract

To extend PSRK model to describe polymer-solvent vapor-liquid equilibria (VLE)

the modified mixing rule for the parameter

is an exponent of 1/2 for the binary parameter

. For pure polymers

a set of parameters (

a/MW

and

b/MW

) are employed to keep the parameters to be independent of molecular weight (MW). The PSRK model with modified mixing rule is applied to the prediction of VLE data for binary polymer solutions over a large rang of temperature and pressure with satisfactory results.

关键词

PSRK 模型汽液平衡高分子溶液混合规则

Keywords

PSRK modelVapor-liquid equilibriaPolymer solutionsMixing rule

references

更多指标>

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

No data

Related Author

No data

Related Institution

No data

⁰