Prediction of CO2 Mass Transfer Flux in Aqueous Amine Solutions Using Artificial Neural Networks

Prediction of CO2 Mass Transfer Flux in Aqueous Amine Solutions Using Artificial Neural Networks

In the present research, neural networks were applied to predict mass transfer flux of CO2 in aqueous amine solutions. Buckingham π theorem was used to determine the effective dimensionless parameters on CO2 mass transfer flux in reactive separation processes. The dimensionless parameters including...

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Bibliographic Details
Main Authors: Ahad Ghaemi, Zahra Jafari, Edris Etemad
Format: Article
Language:English
Published: Iranian Institute of Research and Development in Chemical Industries (IRDCI)-ACECR 2020-08-01
Series:Iranian Journal of Chemistry & Chemical Engineering
Subjects:
prediction
absorption
mass transfer flux
co2
piperazine
multilayer perceptron
Online Access:http://www.ijcce.ac.ir/article_31858_a8e8be3b782f1be0e444b132858e4894.pdf

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