Experimental study on mass transfer and prediction using artificial neural network for CO2 absorption into aqueous DETA-Reference-Cited by-同舟云学术

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Experimental study on mass transfer and prediction using artificial neural network for CO2 absorption into aqueous DETA

Published:2013-08 Issue: Volume:100 Page:195-202
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Fu Kaiyun,Chen Guangying,Sema Teerawat,Zhang Xu,Liang Zhiwu,Idem Raphael,Tontiwachwuthikul Paitoon

Publisher

Elsevier BV

Subject

Applied Mathematics,Industrial and Manufacturing Engineering,General Chemical Engineering,General Chemistry

Reference45 articles.

1. Aroonwilas, A., 1996. High efficiency structured packing for CO2 absorption using 2-amino-methyl-1-propanol (AMP). M.A.Sc. Thesis. University of Regina, Regina, Saskatchewan, Canada.

2. Mass transfer coefficients and correlation for CO2 absorption into 2-amino-2-methyl-1-propanol (AMP) using structured packing;Aroonwilas;Ind. Eng. Chem. Res.,1998

3. Behavior of the mass-transfer coefficient of structured packings in CO2 absorbers with chemical reactions;Aroonwilas;Ind. Eng. Chem. Res.,1999

4. Predicting mass transfer in packed columns;Billet;Chem. Eng. Technol.,1993

5. Generalized correlation for mass transfer in packed distillation columns;Bravo;Ind. Eng. Chem. Process Des. Dev.,1982

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