Using ANN and combined capacitive sensors to predict the void fraction for a two-phase homogeneous fluid independent of the liquid phase type

Measuring the void fraction of different multiphase flows in various fields such as gas, oil, chemical, and petrochemical industries is very important. Various methods exist for this purpose. Among these methods, the capacitive sensor has been widely used. The thing that affects the performance of c...

Full description

Autores:

Chen, Tzu-Chia
Alizadeh, Mehdi
Alanazi, Abdullah
Grimaldo Guerrero, John William
Abo-Dief, Hala M.
Eftekhari-Zadeh, Ehsan
fouladinia, farhad

Tipo de recurso:

Article of investigation

Fecha de publicación:

2023

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/10216

Acceso en línea:

https://hdl.handle.net/11323/10216
https://repositorio.cuc.edu.co/

Palabra clave:

Capacitance sensor
Concave sensor
Ring sensor
Two-phase flow
Homogenous regime
Artificial neural network (ANN)
Void fraction measuring

Rights

openAccess

License

Atribución 4.0 Internacional (CC BY 4.0)