Coupling Artificial Neural Network with EMMS drag for simulation of dense fluidized beds

Application of Artificial Intelligence in Computational Fluid Dynamics

(2021) Bo Wang et al.   INDUSTRIAL & ENGINEERING CHEMISTRY RESEARCH

A steady-state EMMS drag model for fluidized beds

(2020) Yujie Tian et al.   CHEMICAL ENGINEERING SCIENCE

Machine learning to assist filtered two‐fluid model development for dense gas–particle flows

(2020) Li‐Tao Zhu et al.   AICHE JOURNAL

Modeling of the filtered drag force in gas–solid flows via a deep learning approach

(2020) Yu Zhang et al.   CHEMICAL ENGINEERING SCIENCE

Introducing an Artificial Neural Network Energy Minimization Multi-Scale drag scheme for fluidized particles

(2020) Aristeidis Nikolopoulos et al.   CHEMICAL ENGINEERING SCIENCE

Development of Data-Driven Filtered Drag Model for Industrial-Scale Fluidized Beds

(2020) Yundi Jiang et al.   CHEMICAL ENGINEERING SCIENCE

Mesoscale drag modeling: a critical review

(2020) Wei Wang et al.   Current Opinion in Chemical Engineering

Do particle-related parameters influence circulating fluidized bed (CFB) riser flux and elutriation?

(2020) Jia Wei Chew et al.   CHEMICAL ENGINEERING SCIENCE

Energy-minimization multiscale based mesoscale modeling and applications in gas-fluidized catalytic reactors

(2019) Bona Lu et al.   REVIEWS IN CHEMICAL ENGINEERING

Numerical simulation of bubble behavior in a quasi-2D fluidized bed using a bubble-based EMMS model

(2019) Hao Wang et al.   Particuology

A machine learning approach for electrical capacitance tomography measurement of gas-solid fluidized beds

(2019) Qiang Guo et al.   AICHE JOURNAL

Machine Learning for Fluid Mechanics

(2019) Steven L. Brunton et al.   Annual Review of Fluid Mechanics

Big Data Creates New Opportunities for Materials Research: A Review on Methods and Applications of Machine Learning for Materials Design

(2019) Teng Zhou et al.   Engineering

Data Analytics and Machine Learning for Smart Process Manufacturing: Recent Advances and Perspectives in the Big Data Era

(2019) Chao Shang et al.   Engineering

EMMS drag model for simulating a gas–solid fluidized bed of geldart B particles: Effect of bed model parameters and polydisperity

(2019) Krishnadash S. Kshetrimayum et al.   Particuology

Development and validation of an enhanced filtered drag model for simulating gas-solid fluidization of Geldart A particles in all flow regimes

(2018) Xi Gao et al.   CHEMICAL ENGINEERING SCIENCE

Toward Constitutive Models for Momentum, Species, and Energy Transport in Gas–Particle Flows

(2018) Sankaran Sundaresan et al.   Annual Review of Chemical and Biomolecular Engineering

Neural-network-based filtered drag model for gas-particle flows

(2018) Yundi Jiang et al.   POWDER TECHNOLOGY

Hydromechanical Simulation of a Bubbling Fluidized Bed Using an Extended Bubble-based EMMS Model

(2017) Jiageng Li et al.   POWDER TECHNOLOGY

Filtered sub-grid constitutive models for fluidized gas-particle flows constructed from 3-D simulations

(2016) Avik Sarkar et al.   CHEMICAL ENGINEERING SCIENCE

Improvement of EMMS drag model for heterogeneous gas–solid flows based on cluster modeling

(2016) Cheng Chen et al.   CHEMICAL ENGINEERING SCIENCE

A CFD study of a bi-disperse gas–solid fluidized bed: Effect of the EMMS sub grid drag correction

(2015) Musango Lungu et al.   POWDER TECHNOLOGY

A structure-dependent multi-fluid model (SFM) for heterogeneous gas–solid flow

(2013) Kun Hong et al.   CHEMICAL ENGINEERING SCIENCE

Experimental and numerical investigation of solid behavior in a gas–solid turbulent fluidized bed

(2012) Xi Gao et al.   POWDER TECHNOLOGY

Traveling column for comparison of invasive and non-invasive fluidization voidage measurement techniques

(2012) K. Dubrawski et al.   POWDER TECHNOLOGY

A functional subgrid drift velocity model for filtered drag prediction in dense fluidized bed

(2011) Jean-François Parmentier et al.   AICHE JOURNAL

A bubble-based EMMS model for gas–solid bubbling fluidization

(2011) Zhansheng Shi et al.   CHEMICAL ENGINEERING SCIENCE

Eulerian simulation of gas–solid flows with particles of Geldart groups A, B and D using EMMS-based meso-scale model

(2011) Bona Lu et al.   CHEMICAL ENGINEERING SCIENCE

Do we need sub-grid scale corrections for both continuum and discrete gas-particle flow models?

(2011) Sofiane Benyahia et al.   POWDER TECHNOLOGY

An advanced EMMS scheme for the prediction of drag coefficient under a 1.2MWth CFBC isothermal flow—Part II: Numerical implementation

(2010) A. Nikolopoulos et al.   CHEMICAL ENGINEERING SCIENCE

Study of wall boundary condition in numerical simulations of bubbling fluidized beds

(2010) Tingwen Li et al.   POWDER TECHNOLOGY

Searching for a mesh-independent sub-grid model for CFD simulation of gas–solid riser flows

(2009) Bona Lu et al.   CHEMICAL ENGINEERING SCIENCE

PEPT visualisation of particle motion in a tapered fluidised bed coater

(2009) F. Depypere et al.   JOURNAL OF FOOD ENGINEERING

Filtered two-fluid models for fluidized gas-particle suspensions

(2008) Yesim Igci et al.   AICHE JOURNAL

Discrete particle simulation of particulate systems: A review of major applications and findings

(2008) H.P. Zhu et al.   CHEMICAL ENGINEERING SCIENCE

Why the two-fluid model fails to predict the bed expansion characteristics of Geldart A particles in gas-fluidized beds: A tentative answer

(2008) Junwu Wang et al.   CHEMICAL ENGINEERING SCIENCE

Eulerian simulation of heterogeneous gas–solid flows in CFB risers: EMMS-based sub-grid scale model with a revised cluster description

(2007) Junwu Wang et al.   CHEMICAL ENGINEERING SCIENCE