شماره ركورد كنفرانس :
4518
عنوان مقاله :
Estimation of interaction parameters of UNIQUAC model by Genetic algorithm
Author/Authors :
M. Golpour Department of Chemical Engineering, University of Guilan, Rasht, Iran , H. Ashraf Department of Mechanic Engineering, University of Guilan, Rasht, Iran , H. Heshmati Department of Chemical Engineering, University of Guilan, Rasht, Iran , H. Ghanadzadeh Gilani Department of Chemical Engineering, University of Guilan, Rasht, Iran
كليدواژه :
Genetic algorithm , Liquid-liquid equilibrium , 2-butanol , UNIQUAC model
سال انتشار :
2011
عنوان كنفرانس :
The 7th International Chemical Engineering Congress & Exhibition (IChEC 2011
زبان مدرك :
انگليسي
چكيده لاتين :
Genetic algorithm (GA) and ASPEN PLUS have been developed to estimate the binary interaction parameters of the UNIQUAC activity coefficient model for liquid–liquid extraction system. Both of these methods were compared with experimental data. It can be seen that GA has a better agreement than ASPEN PLUS simulator. To show the accuracy of GA, root mean square deviation (RMSD) has been reported.
كشور :
ايران
تعداد صفحه 2 :
6
از صفحه :
1
تا صفحه :
6
لينک به اين مدرک :
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