DocumentCode :
3037885
Title :
A thermodynamic scaling Monte Carlo method to determine the unlike pair interaction parameter
Author :
Wang, Hui ; Zhang, Xian-Ren
Author_Institution :
Dept. of Condensed Matter Phys., Beijing Univ. of Chem. Technol., Beijing, China
fYear :
2011
fDate :
26-28 July 2011
Firstpage :
1940
Lastpage :
1945
Abstract :
For computer simulations on fluid phase equilibrium calculations, an important issue is to determine the unlike pair interaction parameter between unlike components, which is at present determined by a trial-and-test method or by laborous iterative calculations. In this work, basing on the thermodynamic scaling method put forward and developed by Graham, Valleau and Kiyohara etc, we propose a new method to calculate the fluid phase equilibria for a range of unlike pair interaction parameters in a single simulation run, which makes the determination of unlike parameter much easily. In this work, we also present a method to optimize the weight in thermodynamics scaling Monte Carlo methods. The method, which is based on the perturbation theory, requires only a single simulation run on a reference state. Our simulation results indicate that the method converges quickly and improves greatly the calculation accuracy.
Keywords :
Monte Carlo methods; computational fluid dynamics; convergence of numerical methods; flow simulation; iterative methods; thermodynamics; computer simulations; fluid phase equilibrium calculations; iterative calculations; method convergence; perturbation theory; thermodynamic scaling Monte Carlo method; trial-and-test method; unlike pair interaction parameter; Carbon dioxide; Computational modeling; Equations; Fluids; Mathematical model; Monte Carlo methods; Thermodynamics; Fluid Phase Equilibrium; Thermodynamic Scaling Gibbs Ensemble Monte Carlo Method; Thermodynamic Scaling Monte Carlo Method; Unlike Pair Interaction Parameter;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Technology (ICMT), 2011 International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-61284-771-9
Type :
conf
DOI :
10.1109/ICMT.2011.6002461
Filename :
6002461
Link To Document :
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