سال انتشار: ۱۳۸۴

محل انتشار: دهمین کنگره ملی مهندسی شیمی ایران

تعداد صفحات: ۱۰

نویسنده(ها):

Niaei – Department of Applied Chemistry Faculty of chemistry, Tabriz university, Tabriz , Iran
Naseri – Department of Analytical Chemistry, Faculty of chemistry, Tabriz university, Tabriz , Iran.
Sazdar – Department of chemistry, Azad university, Tabriz, Iran.
Rostamizadeh – Department of Applied Chemistry Faculty of chemistry, Tabriz university, Tabriz , Iran.

چکیده:

In this paper an isothermal fixed bed reactor for methanol to olefins converting was modeled using artificial neural network. The space time, weight fraction of water in the feed and temperature of reactor bed were input variable to network. The output variables of network were methanol, Ethylene, propylene and C4 fractions. Levenberg-Marquardt algorithm was used for training of network. The optimum topology of network was a three layers network with light neurons in hidden layer. The RMS(root mean square error) for network output were calculated and it isapproximately agreed with the experimental values.