شماره ركورد كنفرانس :
5048
عنوان مقاله :
Estimation of Vapor-Liquid Equilibrium of Carbon dioxide withMethanol at High Pressures Using Artificial Neural Network
Author/Authors :
B ،Bahramipirbazari Chemical and Petroleum Engineering Department - Shiraz University - Shiraz, Iran , M ،Lashkarbolooki Chemical and Petroleum Engineering Department - Shiraz University - Shiraz, Iran , F ،Esmaeilzadeh Chemical and Petroleum Engineering Department - Shiraz University - Shiraz, Iran
كليدواژه :
Vapor-Liquid Equilibrium , Artificial Neural Network , Methanol , Carbon dioxide , Equation of state
عنوان كنفرانس :
ششمين كنگره بين المللي مهندسي شيمي
چكيده لاتين :
The aim of this study is to apply a method based on artificial neural network for prediction of
vapor-liquid equilibrium of carbon dioxide with methanol at high pressures. The results of the
neural network model were compared with those of the Peng-Robinson equation of state. 70
percent of the experimental data points have been used for training and the remaining are used for
testing the validation of the artificial neural network model. The optimum obtained ANN is a twolayer
feed-forward network with 12 neurons in the hidden layer. The results show the ability of the
proposed method for prediction of the VLE is more accurate and faster than using the PR equation
of state.
