A predictive model for the identification of the volume fraction in two-phase flow

This work presents the use of artificial intelligence in multiphase flows, implementing a multilayer perceptron artificial neural network with back-propagation, and using the sigmoid tangent activation function, to generate a predictive model capable of obtaining the holdup of a two-phase flow compo...

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Autores:
Tipo de recurso:
Fecha de publicación:
2021
Institución:
Universidad Pedagógica y Tecnológica de Colombia
Repositorio:
RiUPTC: Repositorio Institucional UPTC
Idioma:
spa
OAI Identifier:
oai:repositorio.uptc.edu.co:001/15330
Acceso en línea:
https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13417
https://repositorio.uptc.edu.co/handle/001/15330
Palabra clave:
Flujo multifásico, Fracción volumétrica, Red Neuronal Artificial, Presión diferencial, Velocidad superficial
Multiphase flow, Volumetric fraction, Artificial Neural Network, Differential pressure, Surface speed
Rights
License
http://purl.org/coar/access_right/c_abf2