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
سال انتشار
2011
عنوان كنفرانس
The 7th International Chemical Engineering Congress & Exhibition (IChEC 2011
زبان مدرك
انگليسي
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.
كشور
ايران
تعداد صفحه 2
8
از صفحه
1
تا صفحه
8
لينک به اين مدرک