Revista UIS Ingenierías

Vol. 22 Núm. 1 (2023): Revista UIS Ingenierías
Artículos

Análisis experimental de flujo líquido-líquido en un tubo horizontal usando redes neuronales artificiales

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  • Andrey Felipe Casas-Pulido ,
  • Marlon Mauricio Hernández-Cely ,
  • Oscar Mauricio Rodríguez-Hernández
Andrey Felipe Casas-Pulido
University of São Paulo
Marlon Mauricio Hernández-Cely
University of São Paulo
Oscar Mauricio Rodríguez-Hernández
University of São Paulo
DOI: https://doi.org/10.18273/revuin.v22n1-2023005

Publicado 2023-01-24

Palabras clave

  • Flujo aceite-agua,
  • velocidad superficial,
  • fracción volumétrica,
  • red neuronal artificial

Cómo citar

Casas-Pulido , A. F. ., Hernández-Cely , M. M. ., & Rodríguez-Hernández, O. M. . (2023). Análisis experimental de flujo líquido-líquido en un tubo horizontal usando redes neuronales artificiales. Revista UIS Ingenierías, 22(1), 49–56. https://doi.org/10.18273/revuin.v22n1-2023005

Derechos de autor 2023 Revista UIS Ingenierías

Creative Commons License

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Resumen

El objetivo de este trabajo es la aplicación de una red neuronal artificial para la predicción de la fracción volumétrica (holdup) de flujo bifásico (aceite-agua) en un tubo en posición horizontal. Para este fin, la velocidad superficial del agua y el aceite se utilizaron como parámetros de entrada, entre tanto, la fracción volumétrica de estos dos fluidos se utilizaron como parámetros de salida para el entrenamiento y prueba de la red neuronal multicapa, el método utilizado fue retro propagación. Los datos experimentales (92 datos) se tomaron en el LEMI-EESC-USP y fueron utilizados para desarrollar el modelo de red neuronal artificial. Finalmente, se concluyó que los datos experimentales utilizados en la red neuronal se ajustan muy bien para una función de transferencia tagsig con 10 neuronas en la capa oculta evaluadas a partir del error porcentual absoluto medio de (AAPE= 3,95) y coeficiente de determinación ( = 0,975).

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