Generic AI models for mass transfer coefficient prediction in amine-based CO2 absorber, Part I: BPNN model-Reference-Cited by-同舟云学术

Generic AI models for mass transfer coefficient prediction in amine-based CO2 absorber, Part I: BPNN model

Published:2022-12 Issue: Volume:264 Page:118165
ISSN:0009-2509
Container-title:Chemical Engineering Science
language:en
Short-container-title:Chemical Engineering Science

Author:

Dong Shoulong,Quan Hong,Zhao Dongfang,Li Hansheng,Geng Junming,Liu Helei

Funder

Beijing Institute of Technology

National Natural Science Foundation of China

Ministry of Education of the People's Republic of China

Publisher

Elsevier BV

Subject

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

Reference49 articles.

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2. Effects of operating parameters of packed columns on the KGav for CO2 absorption by amine solutions using optimization–simulation framework;Afkhamipour;Sep. Purif. Technol.,2018

3. Viscosities of pure and aqueous solutions of monoethanolamine (MEA), diethanolamine (DEA) and N-methyldiethanolamine (MDEA);Arachchige;Ann. Trans. Nordic Rheology Soc.,2013

4. 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

5. Modelling of a post-combustion CO2 capture process using bootstrap aggregated extreme learning machines;Bai;Comput. Aided Chem. Eng. Elsevier,2016

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