CESAR CELIS PEREZ

CESAR CELIS PEREZ

CESAR CELIS PEREZ

Doctor of Philosophy, CRANFIELD UNIVERSITY

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Mestre em Engenharia Mecânica (PONTIFICIA UNIVERSIDAD CATOLICA DE RIO DE JANEIRO)

DOCENTE ORDINARIO - PRINCIPAL
Docente a tiempo completo (DTC)
Departamento Académico de Ingeniería - Sección Ingeniería Mecánica

Publicaciones

Se encontraron 95 publicaciones

ILLACANCHI, F.; VALENCIA, R. S.; CELIS, C.; Mendiburu, A.; Bravo, L.; Khare, P.(2023). Numerical Study of Distorted Tulip flame Propagation in Confined Systems. En 27th ABCM International Congress of Mechanical Engineering. ABCM. Recuperado de: https://doi.org/10.48550/arXiv.2309.05893
LUCAS, M. A. y CELIS, C.(2022). Assessment of cooling technologies for solar photovoltaic panels accounting for local solar irradiance and ambient temperature conditions. En ASME 2022 International Mechanical Engineering Congress and Exposition IMECE2022. ASME. Recuperado de: https://doi.org/10.1115/IMECE2022-90239
dos Anjos, R. E.; CELIS, C.; Mendiburu , A. A.(2022). Thermodynamic modelling of rotating detonation engines cycles. En 19th Brazilian Congress of Thermal Sciences and Engineering. ABCM. Recuperado de: https://doi.org/10.26678/ABCM.ENCIT2022.CIT22-0104
RUIZ, S.; VALENCIA, R. S.; CELIS, C.; Figueira, L. F.(2022). Parametric study of empirical constants used in soot formation models based on interpolative closure methods of moments. En 19th Brazilian Congress of Thermal Sciences and Engineering. ABCM. Recuperado de: https://doi.org/10.26678/ABCM.ENCIT2022.CIT22-0089
PERALTA, S. P.; CORDOVA, J. D.; CELIS, C.; MAZA, D. P.(2022). Parallel Domain Decomposition of a FEM-based Tool for Numerical Modelling Mineral Slurry-like Flows. International Journal of Computational Fluid Dynamics. Volumen: 36. (pp. 342 - 360). Recuperado de: https://doi.org/10.1080/10618562.2022.2107201
ANTONIOU, A.; BERASTAIN, A. E.; HERNANDEZ, D. M.; CELIS, C.(2022). Mathematical modelling of coupled and decoupled water electrolysis systems based on existing theoretical and experimental studies. International Journal of Hydrogen Energy. Recuperado de: https://doi.org/10.1016/j.ijhydene.2022.03.264
Prudencio, G.; CELIS, C.; Armacanqui , J. S.; Sinchitullo , J.(2022). Development of an evolutionary artificial neural network-based tool for selecting suitable enhanced oil recovery methods. Journal of the Brazilian Society of Mechanical Sciences and Engineering. Volumen: 44. (pp. 1 - 29). Recuperado de: https://doi.org/10.1007/s40430-022-03403-3
Rodriguez, C. V. y CELIS, C.(2022). Design optimization methodology of small horizontal axis wind turbine blades using a hybrid CFD/BEM/GA approach. Journal of the Brazilian Society of Mechanical Sciences and Engineering. Volumen: 44. (pp. 1 - 25). Recuperado de: https://doi.org/10.1007/s40430-022-03561-4