نوع مقاله : مقاله پژوهشی
نویسندگان
دانشگاه علم و صنعت ایران
چکیده
کلیدواژهها
موضوعات
عنوان مقاله [English]
نویسنده [English]
In this study, we developed artificial neural network-based models for prediction of equilibrium solubility of carbon dioxide in the amine solvent system of (triethanolamine + piperazine + water) for the purpose of carbon dioxide uptake. In the MLP model, the solubility data (CO2 loading in the amine solution) were investigated as functions of CO2 partial pressure, system temperature, and amine composition. The Levenberg–Marquardt back-propagation (LMP) algorithm with trainlm transfer function was used to predict the partial pressure of carbon dioxide. There was a 0.99546 correlation coefficient between the experimental results and the artificial neural network (ANN) calculations, demonstrating excellent compatibility between them. The best validation performance was 0.0043497 from epoch 13. In general, the results show that the model applied represents the absorption of CO2 into mixed aqueous solutions of triethanolamine (TEA) and piperazine (PZ) to satisfactory levels.
کلیدواژهها [English]
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