The Effect of Pure Component Characteristic Parameters on Sanchez-Lacombe Equation-of-State Predictive Capabilities

被引：20

作者：

Bashir, Muhammad Ahsan ^{[1
]}

Ali, Mohammad Al-haj ^{[2
]}

Kanellopoulos, Vasileios ^{[2
]}

Seppala, Jukka ^{[1
]}

Kokko, Esa ^{[3
]}

Vijay, Sameer ^{[2
]}

机构：

[1] Aalto Univ, Dept Chem & Biotechnol, Espoo 02150, Finland

[2] Borealis Polymers Oy, Borealis Polymers PO PDO, Proc Dev Grp, Porvoo, Finland

[3] Borealis Polymers Oy, Borealis Polymers PO PDO, PE Catalyst Res Grp, Porvoo, Finland

来源：

MACROMOLECULAR REACTION ENGINEERING | 2013年 / 7卷 / 05期

关键词：

polyolefins; Sanchez-Lacombe; solubility; thermodynamics; ASSOCIATING FLUID THEORY; PHASE REACTOR CONDITIONS; STATISTICAL THERMODYNAMICS; OLEFIN POLYMERIZATION; 1-HEXENE SORPTION; TERNARY MIXTURES; ETHYLENE; SOLUBILITY; POLYETHYLENE; EQUILIBRIUM;

D O I：

10.1002/mren.201200054

中图分类号：

TQ [化学工业];

学科分类号：

0817 ;

摘要：

The dependence of predictive capabilities of SL EOS on the pure characteristic parameters of monomers and polymers is investigated. A sensitivity analysis study is carried out to understand the effect of these parameters on the predictive capability of SL EOS for different alpha-olefin/polyolefins systems. Among all pure component characteristic parameters, the monomer characteristic temperature (T-monomer*) has the largest impact on SL EOS predictive capability; whereas the polymer characteristic density (rho(polymer)*) is found to have the smallest impact.

引用

页码：193 / 204

页数：12

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