MFiX based multi-scale CFD simulations of biomass fast pyrolysis: A review
Multi-scale computational fluid dynamics (CFD) simulation bridges the gaps between
particle and reactor scales in the modeling of biomass pyrolysis. Its accuracy depends on …
particle and reactor scales in the modeling of biomass pyrolysis. Its accuracy depends on …
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 …
[HTML][HTML] Fluid dynamic regimes in circulating fluidized bed boilers—A mini-review
B Leckner - Chemical Engineering Science, 2022 - Elsevier
The fluid dynamics in the furnaces of large-scale circulating fluidized bed (CFB) boilers are
surprisingly little known in contrast to the many laboratory studies made on conditions …
surprisingly little known in contrast to the many laboratory studies made on conditions …
Investigation of syngas exergy value and hydrogen concentration in syngas from biomass gasification in a bubbling fluidized bed gasifier by using machine learning
In this study, an artificial neural network (ANN) model as a machine learning method has
been employed to investigate the exergy value of syngas, where the hydrogen content in …
been employed to investigate the exergy value of syngas, where the hydrogen content in …
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 …
Coupling Artificial Neural Network with EMMS drag for simulation of dense fluidized beds
The previous sub-grid, energy-minimization multi-scale (EMMS) drag models were all
established at certain fixed operating conditions and material properties. In this study, we …
established at certain fixed operating conditions and material properties. In this study, we …
Numerical simulation of fluidization: Driven by challenges
Y Zhang, J Xu, Q Chang, P Zhao, J Wang, W Ge - Powder Technology, 2023 - Elsevier
In the century-long development of fluidization technology, simulation methods have
evolved in response to scientific and engineering demands, which in turn have produced …
evolved in response to scientific and engineering demands, which in turn have produced …
Multiscale CFD simulation of an industrial diameter-transformed fluidized bed reactor with artificial neural network analysis of EMMS drag markers
Modeling of gas–solid, heterogeneously catalytic, diameter-transformed fluidized bed
(DTFB) reactors is intrinsically complex and requires considering the variation of material …
(DTFB) reactors is intrinsically complex and requires considering the variation of material …
Development of a filtered CFD-DEM drag model with multiscale markers using an artificial neural network and nonlinear regression
The accuracy of coarse-grained Euler–Lagrangian simulations of fluidized beds heavily
depends on the mesoscale drag models to account for the influences of the unresolved …
depends on the mesoscale drag models to account for the influences of the unresolved …
Development of an artificial neural network EMMS drag model for the simulation of fluidized beds in chemical looping combustion
The current work presents an Artificial Neural Network EMMS (ANN-EMMS) drag scheme,
developed specifically for applications related to fluidized bed (FB) reactors in chemical …
developed specifically for applications related to fluidized bed (FB) reactors in chemical …