Cargando…

Predicting Air Superficial Velocity of Two-Phase Reactors Using ANFIS and CFD

[Image: see text] In predicting the turbulence property of gas (bubble) flow in the domain of continuous fluid and liquid, the integration of machine learning and computational fluid dynamics (CFD) methods reduces the overall computational time. This combination enables us to see the effective input...

Descripción completa

Detalles Bibliográficos
Autores principales:	Babanezhad, Meisam, Rezakazemi, Mashallah, Marjani, Azam, Shirazian, Saeed
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	American Chemical Society 2020
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7807482/ https://www.ncbi.nlm.nih.gov/pubmed/33458476 http://dx.doi.org/10.1021/acsomega.0c04386

Ejemplares similares

Evaluation of product of two sigmoidal membership functions (psigmf) as an ANFIS membership function for prediction of nanofluid temperature
por: Babanezhad, Meisam, et al.
Publicado: (2020)

ANFIS grid partition framework with difference between two sigmoidal membership functions structure for validation of nanofluid flow
por: Pishnamazi, Mahboubeh, et al.
Publicado: (2020)

Velocity prediction of nanofluid in a heated porous pipe: DEFIS learning of CFD results
por: Babanezhad, Meisam, et al.
Publicado: (2021)

High-performance hybrid modeling chemical reactors using differential evolution based fuzzy inference system
por: Babanezhad, Meisam, et al.
Publicado: (2020)

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)

Multidimensional machine learning algorithms to learn liquid velocity inside a cylindrical bubble column reactor
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Functional input and membership characteristics in the accuracy of machine learning approach for estimation of multiphase flow
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Pattern recognition of the fluid flow in a 3D domain by combination of Lattice Boltzmann and ANFIS methods
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Prediction of turbulence eddy dissipation of water flow in a heated metal foam tube
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Developing Intelligent Algorithm as a Machine Learning Overview over the Big Data Generated by Euler–Euler Method To Simulate Bubble Column Reactor Hydrodynamics
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Thermal prediction of turbulent forced convection of nanofluid using computational fluid dynamics coupled genetic algorithm with fuzzy interface system
por: Babanezhad, Meisam, et al.
Publicado: (2021)

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)

Influence of number of membership functions on prediction of membrane systems using adaptive network based fuzzy inference system (ANFIS)
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Pressure and temperature predictions of Al(2)O(3)/water nanofluid flow in a porous pipe for different nanoparticles volume fractions: combination of CFD and ACOFIS
por: Babanezhad, Meisam, et al.
Publicado: (2021)

Mechanistic modeling and numerical simulation of axial flow catalytic reactor for naphtha reforming unit
por: Pishnamazi, Mahboubeh, et al.
Publicado: (2020)

Prediction of gas velocity in two-phase flow using developed fuzzy logic system with differential evolution algorithm
por: Babanezhad, Meisam, et al.
Publicado: (2021)

Changes in the Number of Membership Functions for Predicting the Gas Volume Fraction in Two-Phase Flow Using Grid Partition Clustering of the ANFIS Method
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Influence of machine learning membership functions and degree of membership function on each input parameter for simulation of reactors
por: Pelalak, Rasool, et al.
Publicado: (2021)

gbell Learning function along with Fuzzy Mechanism in Prediction of Two-Phase Flow
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Prediction of thermal distribution and fluid flow in the domain with multi-solid structures using Cubic-Interpolated Pseudo-Particle model
por: Nguyen, Quyen, et al.
Publicado: (2020)

Prediction of velocity profile of water based copper nanofluid in a heated porous tube using CFD and genetic algorithm
por: Ciano, Tiziana, et al.
Publicado: (2021)

Bubbly flow prediction with randomized neural cells artificial learning and fuzzy systems based on k–ε turbulence and Eulerian model data set
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Molecular investigation into the effect of carbon nanotubes interaction with CO(2) in molecular separation using microporous polymeric membranes
por: Pishnamazi, Mahboubeh, et al.
Publicado: (2020)

Simulation of liquid flow with a combination artificial intelligence flow field and Adams–Bashforth method
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Computational Modeling of Transport in Porous Media Using an Adaptive Network-Based Fuzzy Inference System
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Prediction of Nanofluid Characteristics and Flow Pattern on Artificial Differential Evolution Learning Nodes and Fuzzy Framework
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer
por: Babanezhad, Meisam, et al.
Publicado: (2020)

Synthesis, molecular dynamics simulation and adsorption study of different pollutants on functionalized mesosilica
por: Pelalak, Rasool, et al.
Publicado: (2021)

Ability of neural network cells in learning teacher motivation scale and prediction of motivation with fuzzy logic system
por: Pourtousi, Zahra, et al.
Publicado: (2021)

Thermal and Flow Visualization of a Square Heat Source in a Nanofluid Material with a Cubic-Interpolated Pseudo-particle
por: Nguyen, Quyen, et al.
Publicado: (2020)

CFD and statistical approach to optimize the average air velocity and air volume fraction in an inert-particles spouted-bed reactor (IPSBR) system
por: Mohammad, A., et al.
Publicado: (2021)

Intensification of CO(2) absorption using MDEA-based nanofluid in a hollow fibre membrane contactor
por: Cao, Yan, et al.
Publicado: (2021)

Prediction of Nanofluid Temperature Inside the Cavity by Integration of Grid Partition Clustering Categorization of a Learning Structure with the Fuzzy System
por: Nabipour, Narjes, et al.
Publicado: (2020)

Numerical investigation of nanofluid flow using CFD and fuzzy-based particle swarm optimization
por: Syah, Rahmad, et al.
Publicado: (2021)

Modeling air pollution by integrating ANFIS and metaheuristic algorithms
por: Yonar, Aynur, et al.
Publicado: (2022)

Hierarchical multi-shell hollow micro–meso–macroporous silica for Cr(VI) adsorption
por: Soltani, Roozbeh, et al.
Publicado: (2020)

Editorial Expression of Concern: Numerical investigation of nanofluid flow using CFD and fuzzy-based particle swarm optimization
por: Syah, Rahmad, et al.
Publicado: (2022)

Hormones removal from municipal wastewater using ultrasound
por: Roudbari, Aliakbar, et al.
Publicado: (2018)

Ethylene glycol elimination in amine loop for more efficient gas conditioning
por: Hajilary, Nasibeh, et al.
Publicado: (2018)

Validation of a CFD Model by Using 3D Sonic Anemometers to Analyse the Air Velocity Generated by an Air-Assisted Sprayer Equipped with Two Axial Fans
por: García-Ramos, F. Javier, et al.
Publicado: (2015)

Cannot write session to /tmp/vufind_sessions/sess_opouov9v59qvb7j5nrp46q143v