Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k–ε turbulence and Eulerian model data set

Abstract Computing gas and liquid interactions based on interfacial force models require a proper turbulence model that accurately resolve the turbulent scales such as turbulence kinetic energy and turbulence dissipation rate with cheap computational resources. The k −  ε turbulence model can be a g...

Descripción completa

Guardado en:
Detalles Bibliográficos
Autores principales: Meisam Babanezhad, Mahboubeh Pishnamazi, Azam Marjani, Saeed Shirazian
Formato: article
Lenguaje:EN
Publicado: Nature Portfolio 2020
Materias:
R
Q
Acceso en línea:https://doaj.org/article/b72973b2e7e849de82b0c64fa4f19933
Etiquetas: Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!