Estimation of Vapor-Liquid Equilibrium of Carbon dioxide with Methanol at High Pressures Using Artificial Neural Network
عنوان مقاله: Estimation of Vapor-Liquid Equilibrium of Carbon dioxide with Methanol at High Pressures Using Artificial Neural Network
شناسه ملی مقاله: ICHEC06_079
منتشر شده در ششمین کنگره بین المللی مهندسی شیمی در سال 1388
شناسه ملی مقاله: ICHEC06_079
منتشر شده در ششمین کنگره بین المللی مهندسی شیمی در سال 1388
مشخصات نویسندگان مقاله:
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
خلاصه مقاله:
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
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. 70percent 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.
کلمات کلیدی: Vapor-Liquid Equilibrium, Artificial Neural Network, Methanol, Carbon dioxide, Equation of state
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/77354/