| Revue: | Revista mexicana de física |
| Base de datos: | PERIÓDICA |
| Número de sistema: | 000460813 |
| ISSN: | 0035-001X |
| Autores: | Valdés, J1 Domínguez Juárez, J.L2 Nava, R1 Cuán, A1 Cortes Romero, C.M3 |
| Instituciones: | 1Universidad Autónoma de Querétaro, Facultad de Ingeniería, Querétaro. México 2Universidad Nacional Autónoma de México, Centro de Física Aplicada y Tecnología Avanzada, Ciudad de México. México 3Universidad Autónoma de Querétaro, Facultad de Química, Querétaro. México |
| Año: | 2022 |
| Periodo: | Mar-Abr |
| Volumen: | 68 |
| Número: | 2 |
| País: | México |
| Idioma: | Inglés |
| Tipo de documento: | Artículo |
| Enfoque: | Analítico, teórico |
| Resumen en inglés | Process optimization of multiphase chemical and/or photochemical reactor means a challenge not only at laboratory scale but also while scaling-up is intended towards industrial applications. Using computational tools, such as Computational Fluid Dynamics, is essential to assess the transport limitations of the heterogeneous process to verify the kinetic regime while the reaction and the reactor engineering are studied. Computational Fluid Dynamics, together with Genetic Algorithms, have been currently applied to verify fluid behavior and turbulence. The latter device has been self-designed and is planned to be constructed for CO2 reduction. The results of the Computational Fluid Dynamics simulations are presented and discussed to optimize the operation of a multi-inlet vortex photoreactor. By considering the catalytic particle features, the residence time distribution in the multi-inlet photoreactor has been verified and optimized |
| Disciplinas: | Física y astronomía |
| Palabras clave: | Dinámica de fluidos, Algoritmo genético, Tiempo de residencia, Intensidad de turbulencia, Dinámica de fluidos computacional (CFD) |
| Keyword: | Fluid dynamics, Genetic algorithms, Residence time, Turbulence intensity, Computational fluid dynamics (CFD) |
| Texte intégral: | Texto completo (Ver HTML) Texto completo (Ver PDF) |
