Modeling of absorption process using neural networks

International Scientific Conference «AGRITECH-2019: Agribusiness, Environmental Engineering and Biotechnologies»

农业科学;生态环境科学;生物科学

Kharitonova, O.S.^1 ; Bronskaya, V.V.^2^4 ; Ignashina, T.V.^2 ; Al-Muntaser, Ameen A.^3 ; Khairullina, L.E.^4

Department of Chemical Technology of Petroleum and Gas Processing, Kazan National Research Technological University, 68 Karl Marx Street, Kazan

420015, Russia^1

Department of Chemical Process Engineering, Kazan National Research Technological University, 68 Karl Marx Street, Kazan

420015, Russia^2

Faculty of Chemistry, Kazan Federal University, 1/29 Lobachevskogo Street, Kazan

420008, Russia^3

Department of Information Systems, Kazan Federal University, 35 Kremlyovskaya Street, Kazan

420008, Russia^4

关键词: Absorption process;    Calculation procedure;    Chemical engineering process;    Liquid and gas phasis;    Multi-layer network;    Unobservable;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/315/3/032025/pdf
DOI  :  10.1088/1755-1315/315/3/032025

来源: IOP

【 摘 要 】

An artificial neural multi-layer network has been developed for predicting the mass transfer coefficients in the liquid and gas phases for the gas absorption (CO2) from the air using an absorbent - water. For the development of neural network the unobservable parameters of the packed absorber were calculated. The obtained results can be used to model an extensive class of chemical engineering processes with the possibility of formalizing the calculation procedures.