LIQUID-LIQUID EQUILIBRIA IN BINARY-SYSTEMS - MONTE-CARLO SIMULATIONS FOR CALCULATING THE EFFECT OF NONRANDOM MIXING

被引:39
作者
LAMBERT, SM [1 ]
SOANE, DS [1 ]
PRAUSNITZ, JM [1 ]
机构
[1] LAWRENCE BERKELEY LAB,DIV CHEM SCI,BERKELEY,CA 94720
关键词
LATTICE MODEL; MONTE-CARLO SIMULATION; LIQUID-LIQUID EQUILIBRIA; BINARY MIXTURES; POLYMER SOLUTION;
D O I
10.1016/0378-3812(93)87007-N
中图分类号
O414.1 [热力学];
学科分类号
摘要
Monte-Carlo simulations of a lattice model for incompressible monomer/r-mer mixtures are used to obtain accurate results for the configurational energy of mixing. Based on simulation results, the energy of mixing is correlated as a function of temperature and composition using an empirical expression. The configurational Helmholtz energy is obtained upon using the Gibbs-Helmholtz equation with Guggenheim's athermal entropy of mixing as boundary condition. Since Monte-Carlo simulations give essentially exact results for the lattice model, the effects of nonrandom mixing on the configurational thermodynamic properties of a binary mixture can be determined. The expression generated here produces coexistence curves that are more accurate than those from other models, especially near the critical region.
引用
收藏
页码:59 / 68
页数:10
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