شماره ركورد كنفرانس :
4518
عنوان مقاله :
A genetic algorithm based Peng-Robinson equation of state for solubility modeling of cinnamic acid in supercritical carbon dioxide
Author/Authors :
Bahman Mehdizadeh Department of Chemical Engineering, Babol University of Technology, Babol, Iran , Kamyar Movagharnejad Department of Chemical Engineering, Babol University of Technology, Babol, Iran , Morteza Banihashemi Department of Chemical Engineering, Babol University of Technology, Babol, Iran
كليدواژه :
genetic algorithm , Peng-Robinson , binary interaction parameter , supercritical carbon dioxide , cinnamic acid
عنوان كنفرانس :
The 7th International Chemical Engineering Congress & Exhibition (IChEC 2011
چكيده لاتين :
In this paper genetic algorithm optimization method is used for optimization of the binary
interaction parameters of Peng-Robinson equation of state. In the next step, optimized Peng-
Robinson equation of state is used for solubility modeling of cinnamic acid in supercritical carbon
dioxide. Results showed that the proposed method for optimization of binary interaction
parameters is more accurate than the traditional trial and error methods.
