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...
- 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