OPTIMAL DISTRIBUTION OF CATALYST IN POROUS PELLETS FOR A QUASI-STEADY-STATE REACTION WITH LANGMUIR-HINSHELWOOD KINETICS
| dc.contributor.author | Kabiyeva, Aigerim | |
| dc.contributor.author | Andreev, Vsevolod | |
| dc.contributor.author | Skrzypacz, Piotr | |
| dc.contributor.author | Golman, Boris | |
| dc.date.accessioned | 2022-08-26T10:11:10Z | |
| dc.date.available | 2022-08-26T10:11:10Z | |
| dc.date.issued | 2022-08 | |
| dc.description.abstract | The conditions for enhancing the performance of a porous catalyst granule with a controlled activity profile are investigated for a catalytic reaction with Langmuir-Hinshelwood kinetics. The nonisothermal reaction and diffusion in the pellets with spherical, cylindrical, and planar shapes are studied, considering the presence of external mass and heat transfer resistances. The objectives of this paper are to investigate the influence of kinetic parameters on the productivity of the catalyst pellet, to find the optimal distribution of active catalyst in a porous pellet in the quasi-steady-state nonisothermal reactions, and to determine the main trends and dependencies by varying the parameters, such as Biot numbers, Thiele modulus, etc | en_US |
| dc.identifier.citation | Kabiyeva, A. Andreev, V. Skrzypacz, P. Golman, B. (2022). Optimal distribution of catalyst in porous pellets for a quasi-steady-state reaction with Langmuir-Hinshelwood kinetics. National Laboratory Astana | en_US |
| dc.identifier.uri | http://nur.nu.edu.kz/handle/123456789/6605 | |
| dc.language.iso | en | en_US |
| dc.publisher | National Laboratory Astana | en_US |
| dc.rights | Attribution-NonCommercial-ShareAlike 3.0 United States | * |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc-sa/3.0/us/ | * |
| dc.subject | Type of access: Embargo | en_US |
| dc.subject | Langmuir-Hinshelwood kinetics | en_US |
| dc.title | OPTIMAL DISTRIBUTION OF CATALYST IN POROUS PELLETS FOR A QUASI-STEADY-STATE REACTION WITH LANGMUIR-HINSHELWOOD KINETICS | en_US |
| dc.type | Abstract | en_US |
| workflow.import.source | science |
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