Calculating the equation of state parameters and predicting the spinodal curve of isotactic polypropylene/poly(ethylene-co-octene) blend by molecular dynamics simulations combined with Sanchez-Lacombe lattice fluid theory

被引:16
|
作者
Li, Zhan-Wei
Lu, Zhong-Yuan [1 ]
Sun, Zhao-Yan
Li, Ze-Sheng
An, Li-Jia
机构
[1] Jilin Univ, Inst Theoret Chem, State Key Lab Theoret & Computat Chem, Changchun 130023, Peoples R China
[2] Chinese Acad Sci, Changchun Inst Appl Chem, State Key Lab Polymer Chem & Phys, Changchun 130022, Peoples R China
来源
JOURNAL OF PHYSICAL CHEMISTRY B | 2007年 / 111卷 / 21期
关键词
D O I
10.1021/jp0707539
中图分类号
O64 [物理化学(理论化学)、化学物理学];
学科分类号
070304 ; 081704 ;
摘要
Molecular dynamics simulations are adopted to calculate the equation of state characteristic parameters P*, rho*, and T* of isotactic polypropylene (iPP) and poly(ethylene-co-octene) (PEOC), which can be further used in the Sanchez-Lacombe lattice fluid theory (SLLFT) to describe the respective physical properties. The calculated T* is a function of the temperature, which was also found in the literature. To solve this problem, we propose a Boltzmann fitting of the data and obtain T* at the high-temperature limit. With these characteristic parameters, the pressure-volume-temperature (PVT) data of iPP and PEOC are predicted by the SLLFT equation of state. To justify the correctness of our results, we also obtain the PVT data for iPP and PEOC by experiments. Good agreement is found between the two sets of data. By integrating the Euler-Lagrange equation and the Cahn-Hilliard relation, we predict the density profiles and the surface tensions for iPP and PEOC, respectively. Furthermore, a recursive method is proposed to obtain the characteristic interaction energy parameter between iPP and PEOC. This method, which does not require fitting to the experimental phase equilibrium data, suggests an alternative way to predict the phase diagrams that are not easily obtained in experiments. As an example, in the framework of SLLFT, the spinodal curve for the iPP/PEOC blend is predicted at the low molecular weights that are used in the simulations.
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页码:5934 / 5940
页数:7
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