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 co...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Ruiz-Diaz, C M, Hernández-Cely, M. M, González-Estrada, O. A
Format:	Online
Sprache:	spa
Veröffentlicht:	Universidad Pedagógica y Tecnológica de Colombia 2021
Schlagworte:	Flujo multifásico, Fracción volumétrica, Red Neuronal Artificial, Presión diferencial, Velocidad superficial Multiphase flow, Volumetric fraction, Artificial Neural Network, Differential pressure, Surface speed
Online Zugang:	https://revistas.uptc.edu.co/index.php/ciencia_en_desarrollo/article/view/13417