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Title

Application of artificial neural networks for modeling of the absorption of carbon dioxide into aqueous blends of Mono and Diethanolamine with N, N-dimethylethanolamine

پنجمین کنگره بین المللی مهندسی شیمی
Year: 1386
COI: ICHEC05_307
Language: EnglishView: 1,934
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Authors

Daneshvar - Department of Chemical Engineering, Faculty of Chemistry, University of Tabriz, Tabriz, Iran
Zarei - Department of Applied Chemistry, Faculty of Chemistry, University of Tabriz, Tabriz, Iran

Abstract:

Absorption rates of CO2 into aqueous solutions of N,N-dimethylethanolamine (DMEA) and blends of Monoethanolamine (MEA) and Diethanolamine (DEA) with DMEA were measured in a stirred cell and atmospheric pressures. The influence of gas flow rate, temperature and liquid concentration on the absorption rates of CO2 into aqueous solutions of DMEA was studied. In the next step, small amounts of MEA and DEA were added to DMEA solutions, and the absorption of CO2 into these blends was studied. The results show that the addition of small amounts of MEA and DEA to DMEA solutions results in a significant enhancement of CO2 absorption rates. The proposed model based on artificial neural network (ANN) could predict the CO2 concentration during absorption time in optimized conditions. A comparison between the predicted results of the designed ANN model and experimental data was also conducted.

Keywords:

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https://civilica.com/doc/46157/

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Daneshvar, and Zarei, ,1386,Application of artificial neural networks for modeling of the absorption of carbon dioxide into aqueous blends of Mono and Diethanolamine with N, N-dimethylethanolamine,5th International Congress on Chemical Engineering,Kish Island,https://civilica.com/doc/46157

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Type of center: دانشگاه دولتی
Paper count: 23,237
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