Issue |
E3S Web of Conf.
Volume 402, 2023
International Scientific Siberian Transport Forum - TransSiberia 2023
|
|
---|---|---|
Article Number | 03023 | |
Number of page(s) | 12 | |
Section | Mathematical Modeling, IT, Industrial IoT, AI, and ML | |
DOI | https://doi.org/10.1051/e3sconf/202340203023 | |
Published online | 19 July 2023 |
Mathematical modelling of the carbon nanotubes synthesis by methane pyrolysis on a copper catalyst based on the approximation approach
Dmitry Mendeleev University of Chemical Technology of Russia, 9, Miusskaya Sq., 125047, Moscow, Russian
* Corresponding author: k.modestov57@yandex.ru
We present the mathematical model concepts for the synthesis of carbon nanotubes by catalytic pyrolysis of methane, based on the analysis and approximation of the dependence of the process stages on the gas phase composition and temperature. The process was considered to consist of three successive stages that include the linear stage of initial growth with a constant specific rate, the stage of growth retardation due to the catalyst active site deactivation, and the stage close to linear, occurring after equilibrium of the accompanying sorption-desorption processes on the active sites is reached. Based on the available experimental studies on a specific catalyst, a step-by-step search for mathematical patterns describing the selected phases of a typical nanotubes growth curve was performed. We have determined and confirmed the criteria for the dependence of the proposed equations parameters on the gas phase composition. The article also discusses the advantages of the proposed approach for modeling complex processes in comparison with traditional physicochemical approaches.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.