Related references
Note: Only part of the references are listed.Modeling drag force in ellipsoidal particle suspensions with preferential orientation
Z. Cao et al.
POWDER TECHNOLOGY (2021)
Image-based prediction of granular flow behaviors in a wedge-shaped hopper by combing DEM and deep learning methods
Zhehan Liao et al.
POWDER TECHNOLOGY (2021)
A computational workflow to study particle transport and filtration in porous media: Coupling CFD and deep learning
Agnese Marcato et al.
CHEMICAL ENGINEERING JOURNAL (2021)
A machine learning-based interaction force model for non-spherical and irregular particles in low Reynolds number incompressible flows
Soohwan Hwang et al.
POWDER TECHNOLOGY (2021)
Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data
Luning Sun et al.
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING (2020)
Hydrodynamic forces on monodisperse assemblies of axisymmetric elongated particles: Orientation and voidage effects
Sathish K. P. Sanjeevi et al.
AICHE JOURNAL (2020)
Development of drag correlation for suspensions of ellipsoidal particles
Z. Cao et al.
POWDER TECHNOLOGY (2020)
Toward particle-resolved accuracy in Euler-Lagrange simulations of multiphase flow using machine learning and pairwise interaction extended point-particle (PIEP) approximation
S. Balachandar et al.
THEORETICAL AND COMPUTATIONAL FLUID DYNAMICS (2020)
Fluid forces and torques in suspensions of oblate cylinders with aspect ratio 1:4
Z. Cao et al.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW (2020)
A supervised machine learning approach for predicting variable drag forces on spherical particles in suspension
Long He et al.
POWDER TECHNOLOGY (2019)
Super-resolution reconstruction of turbulent flows with machine learning
Kai Fukami et al.
JOURNAL OF FLUID MECHANICS (2019)
Deep learning of vortex-induced vibrations
Maziar Raissi et al.
JOURNAL OF FLUID MECHANICS (2019)
Neural-network-based filtered drag model for gas-particle flows
Yundi Jiang et al.
POWDER TECHNOLOGY (2019)
Investigating the fluidization of disk-like particles in a fluidized bed using CFD-DEM simulation
Huaqing Ma et al.
ADVANCED POWDER TECHNOLOGY (2018)
Variation of drag, lift and torque in a suspension of ellipsoidal particles
Long He et al.
POWDER TECHNOLOGY (2018)
Development of a drag force correlation for assemblies of cubic particles: The effect of solid volume fraction and Reynolds number
Y. Chen et al.
CHEMICAL ENGINEERING SCIENCE (2018)
Convolutional neural networks: an overview and application in radiology
Rikiya Yamashita et al.
INSIGHTS INTO IMAGING (2018)
Evaluation of drag correlations using particle resolved simulations of spheres and ellipsoids in assembly
Long He et al.
POWDER TECHNOLOGY (2017)
CFD-DEM simulation of fluidization of rod-like particles in a fluidized bed
Huaqing Ma et al.
POWDER TECHNOLOGY (2017)
On the orientational dependence of drag experienced by spheroids
Sathish K. P. Sanjeevi et al.
JOURNAL OF FLUID MECHANICS (2017)
Reynolds averaged turbulence modelling using deep neural networks with embedded invariance
Julia Ling et al.
JOURNAL OF FLUID MECHANICS (2016)
A new set of correlations of drag, lift and torque coefficients for non-spherical particles and large Reynolds numbers
Rafik Ouchene et al.
POWDER TECHNOLOGY (2016)
Drag, lift and torque coefficients for ellipsoidal particles: From low to moderate particle Reynolds numbers
Rafik Ouchene et al.
COMPUTERS & FLUIDS (2015)
Pressure drop investigations in packings of arbitrary shaped particles
K. Vollmari et al.
POWDER TECHNOLOGY (2015)
Lattice-Boltzmann simulation of fluid flow through packed beds of uniform ellipsoids
L. W. Rong et al.
POWDER TECHNOLOGY (2015)
A new approach for conjugate heat transfer problems using immersed boundary method for curvilinear grid based solvers
Krishnamurthy Nagendra et al.
JOURNAL OF COMPUTATIONAL PHYSICS (2014)
Derivation of drag and lift force and torque coefficients for non-spherical particles in flows
Marian Zastawny et al.
INTERNATIONAL JOURNAL OF MULTIPHASE FLOW (2012)
Effect of Blockage on Heat Transfer Phenomena of Spheroid Particles at Moderate Reynolds and Prandtl Numbers
Nanda Kishore et al.
CHEMICAL ENGINEERING & TECHNOLOGY (2011)
Discrete particle simulation of gas fluidization of ellipsoidal particles
Z. Y. Zhou et al.
CHEMICAL ENGINEERING SCIENCE (2011)
Dynamics of gas-solid fluidised beds with non-spherical particle geometry
J. E. Hilton et al.
CHEMICAL ENGINEERING SCIENCE (2010)
Drag and lift coefficients of inclined finite circular cylinders at moderate Reynolds numbers
Ali Vakil et al.
COMPUTERS & FLUIDS (2009)
Lattice Boltzmann simulations to determine drag, lift and torque acting on non-spherical particles
Andreas Hoelzer et al.
COMPUTERS & FLUIDS (2009)
New simple correlation formula for the drag coefficient of non-spherical particles
Andreas Hoelzer et al.
POWDER TECHNOLOGY (2008)
Three-dimensional numerical study of flow and heat transfer from a cube placed in a uniform flow
AK Saha
INTERNATIONAL JOURNAL OF HEAT AND FLUID FLOW (2006)
Flow through packed bed reactors: 1. Single-phase flow
D Nemec et al.
CHEMICAL ENGINEERING SCIENCE (2005)
Three-dimensional numerical simulations of the transition of flow past a cube
AK Saha
PHYSICS OF FLUIDS (2004)