Application of three-dimensional full-loop CFD simulation in circulating fluidized bed combustion reactors–A review
Q Tu, H Wang, R Ocone - Powder Technology, 2022 - Elsevier
Circulating fluidized beds (CFBs) have been widely applied in coal combustion and
gasification industry due to their excellent performance in terms of fuel flexibility and …
gasification industry due to their excellent performance in terms of fuel flexibility and …
Review of machine learning for hydrodynamics, transport, and reactions in multiphase flows and reactors
Artificial intelligence (AI), machine learning (ML), and data science are leading to a
promising transformative paradigm. ML, especially deep learning and physics-informed ML …
promising transformative paradigm. ML, especially deep learning and physics-informed ML …
Conventional and data‐driven modeling of filtered drag, heat transfer, and reaction rate in gas–particle flows
This study presents conventional and artificial neural network‐based data‐driven modeling
(DDM) methods to model simultaneously the filtered mesoscale drag, heat transfer and …
(DDM) methods to model simultaneously the filtered mesoscale drag, heat transfer and …
Coarse-grain DEM-CFD modelling of dense particle flow in Gas–Solid cyclone
ES Napolitano, A Di Renzo, FP Di Maio - Separation and Purification …, 2022 - Elsevier
Abstract Design, scale-up and operation of cyclone gas–solid separators are mostly based
on simplified models and experience. Previous single-phase or one-way coupled …
on simplified models and experience. Previous single-phase or one-way coupled …
A hybrid mesoscale closure combining CFD and deep learning for coarse-grid prediction of gas-particle flow dynamics
This study develops filtered two-fluid model (fTFM) closures by coupling computational fluid
dynamics (CFD) and deep learning algorithm (DL) for enabling coarse-grid simulations at …
dynamics (CFD) and deep learning algorithm (DL) for enabling coarse-grid simulations at …
Large-Scale Discrete Element Modeling for a Gas–Solid–Liquid Flow System
R Li, G Duan, D Yamada, M Sakai - Industrial & Engineering …, 2023 - ACS Publications
Gas–solid–liquid three-phase flow systems are ubiquitous in chemical and energy
engineering. To simulate the multiphase systems, the authors' group has developed a …
engineering. To simulate the multiphase systems, the authors' group has developed a …
Machine learning for full spatiotemporal acceleration of gas-particle flow simulations
Gas-particle flows can be well described by highly resolved simulations (HRS). Limited by
the daunting computational cost, HRS at scale remains infeasible. Many methods are …
the daunting computational cost, HRS at scale remains infeasible. Many methods are …
Experimental investigation and CFD simulation of multiphase flow behavior in air reverse circulation drilling
S Sun, K Bo, R Jia, P Cao, B Chen, M Guo - Advanced Powder Technology, 2023 - Elsevier
In reverse circulation (RC) down-the-hole hammer (DTH) drilling, hole cleaning has a great
impact on reducing accidents and improving efficiency. There is a technical difficulty in RC …
impact on reducing accidents and improving efficiency. There is a technical difficulty in RC …
Coarse-grid simulations of full-loop gas-solid flows using a hybrid drag model: Investigations on turbulence models
The effect of fluid turbulence models on the coarse-grid simulation for the mesoscale gas-
solid flow system is not as clear as that for gas-liquid/single flows. In this study, the effect of …
solid flow system is not as clear as that for gas-liquid/single flows. In this study, the effect of …
Homogeneous drag models in gas–solid fluidization: Big data analytics and conventional correlation
The drag force model is vital for capturing gas–solid flow dynamics in many simulation
approaches. Most of the homogeneous drag models in the literature are expressed as a …
approaches. Most of the homogeneous drag models in the literature are expressed as a …