Prediction of the Wall Factor of Arbitrary Particle Settling through Various Fluid Media in a Cylindrical Tube Using Artificial Intelligence

Considering the influence of particle shape and the rheological properties of fluid, two artificial intelligence methods (Artificial Neural Network and Support Vector Machine) were used to predict the wall factor which is widely introduced to deduce the net hydrodynamic drag force of confining bound...

Descripción completa

Detalles Bibliográficos
Autores principales: Li, Mingzhong, Zhang, Guodong, Xue, Jianquan, Li, Yanchao, Tang, Shukai
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977094/
https://www.ncbi.nlm.nih.gov/pubmed/24772024
http://dx.doi.org/10.1155/2014/438782

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3977094/
https://www.ncbi.nlm.nih.gov/pubmed/24772024
http://dx.doi.org/10.1155/2014/438782

Ejemplares similares