Cargando…
Thermal prediction of turbulent forced convection of nanofluid using computational fluid dynamics coupled genetic algorithm with fuzzy interface system
Computational fluid dynamics (CFD) simulating is a useful methodology for reduction of experiments and their associated costs. Although the CFD could predict all hydro-thermal parameters of fluid flows, the connections between such parameters with each other are impossible using this approach. Machi...
Autores principales: | Babanezhad, Meisam, Behroyan, Iman, Nakhjiri, Ali Taghvaie, Rezakazemi, Mashallah, Marjani, Azam, Shirazian, Saeed |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7809283/ https://www.ncbi.nlm.nih.gov/pubmed/33446789 http://dx.doi.org/10.1038/s41598-020-80207-2 |
Ejemplares similares
-
Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube
por: Babanezhad, Meisam, et al.
Publicado: (2020) -
High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system
por: Babanezhad, Meisam, et al.
Publicado: (2020) -
Performance and application analysis of ANFIS artificial intelligence for pressure prediction of nanofluid convective flow in a heated pipe
por: Babanezhad, Meisam, et al.
Publicado: (2021) -
Investigation on performance of particle swarm optimization (PSO) algorithm based fuzzy inference system (PSOFIS) in a combination of CFD modeling for prediction of fluid flow
por: Babanezhad, Meisam, et al.
Publicado: (2021) -
Prediction of Nanofluid Characteristics and Flow Pattern
on Artificial Differential Evolution Learning Nodes and Fuzzy Framework
por: Babanezhad, Meisam, et al.
Publicado: (2020)