Estimation of Vapor-Liquid Equilibrium of Carbon dioxide with Methanol at High Pressures Using Artificial Neural Network
Publish place: 06th International Congress on Chemical Engineering
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICHEC06_079
تاریخ نمایه سازی: 1 مهر 1388
Abstract:
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.
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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