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Measuring binary fluidization of nonspherical and spherical particles using machine learning aided image processing

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

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Magnetic particle tracking for nonspherical particles in a cylindrical fluidized bed

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Using stereo XPTV to determine cylindrical particle distribution and velocity in a binary fluidized bed

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

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Comprehensive experimental investigation on biomass‐glass beads binary fluidization: A data set for CFD model validation

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Coarse grained computational fluid dynamic simulation of sands and biomass fluidization with a hybrid drag

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Experimental and numerical investigation of sands and Geldart A biomass co‐fluidization

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A technique for contacting gases with coarse solid particles

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Spouted bed and spout‐fluid bed behaviour in a column of diameter 0.91 m

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Particle velocity profiles and solid flow patterns in spouted beds

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Particle Image Velocimetry: A Practical Guide

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A quantitative study of three-dimensional Lagrangian particle tracking algorithms

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Reconstructing granular particles from X-ray computed tomography using the TWS machine learning tool and the level set method

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A review on image segmentation techniques

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Slug flow in fluidised beds

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Hydrodynamics of spout-fluid beds

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Clusters identification and meso-scale structures in a circulating fluidized bed based on image processing

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Development and validation of SuperDEM-CFD coupled model for simulating non-spherical particles hydrodynamics in fluidized beds

inferredcites →https://doi.org/10.1016/j.ces.2006.08.006openalex-snapshot

Fluidization of biomass particles: A review of experimental multiphase flow aspects

inferredcites →https://doi.org/10.1016/j.ces.2014.12.022openalex-snapshot

Sand-assisted fluidization of large cylindrical and spherical biomass particles: Experiments and simulation

inferredcites →https://doi.org/10.1016/j.ces.2017.04.024openalex-snapshot

Experimental measurements of particle collision dynamics in a pseudo-2D gas-solid fluidized bed

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Machine learning holography for measuring 3D particle distribution

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Fast pyrolysis of biomass and waste plastic in a fluidized bed reactor

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Machine learning applications in minerals processing: A review

inferredcites →https://doi.org/10.1016/j.patrec.2008.10.003openalex-snapshot

Optimal multi-level thresholding using a two-stage Otsu optimization approach

inferredcites →https://doi.org/10.1016/j.powtec.2006.03.014openalex-snapshot

Measurement of the particle movement in the fountain region of a Wurster type bed

inferredcites →https://doi.org/10.1016/j.powtec.2015.11.045openalex-snapshot

Experimental and numerical study of fluidization and pressure drop of spherical and non-spherical particles in a model scale fluidized bed

inferredcites →https://doi.org/10.1016/s0009-2509(01)00022-7openalex-snapshot

Effect of operating conditions on solid velocity in the spout, annulus and fountain of spouted beds

inferredcites →https://doi.org/10.1016/s0016-2361(03)00160-1openalex-snapshot

Effect of experimental conditions on co-gasification of coal, biomass and plastics wastes with air/steam mixtures in a fluidized bed system

inferredcites →https://doi.org/10.1017/cbo9780511777936openalex-snapshot

Spouted and Spout-Fluid Beds

inferredcites →https://doi.org/10.1017/jfm.2014.330openalex-snapshot

Sedimentation of a dilute suspension of rigid spheres at intermediate Galileo numbers: the effect of clustering upon the particle motion

inferredcites →https://doi.org/10.1017/jfm.2018.272openalex-snapshot

The role of collective effects on settling velocity enhancement for inertial particles in turbulence

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The effects of irregular shape on the particle stress of dilute suspensions

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Rayleigh–Taylor instability by segregation in an evaporating multicomponent microdroplet – ERRATUM

inferredcites →https://doi.org/10.1017/s0022112079221290openalex-snapshot

Bubbles, Drops and Particles. By R. C LIFT , J. R. G RACE and M. E. W EBER . Academic Press, 1978. 380 pp. £20.80 or $32.00.

inferredcites →https://doi.org/10.1038/s41377-020-0255-6openalex-snapshot

An ultra-compact particle size analyser using a CMOS image sensor and machine learning

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Five techniques for increasing the speed and accuracy of PIV interrogation

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Trainable Weka Segmentation: a machine learning tool for microscopy pixel classification

inferredcites →https://doi.org/10.1109/tsmc.1979.4310076openalex-snapshot

A Threshold Selection Method from Gray-Level Histograms

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Image processing and machine learning in the morphological analysis of blood cells

inferredcites →https://doi.org/10.1115/imece2013-65027openalex-snapshot

Improvement in Precision, Accuracy, and Efficiency in Standardizing the Characterization of Granular Materials

inferredcites →https://doi.org/10.1364/oe.22.026884openalex-snapshot

Machine-learning approach to holographic particle characterization

inferredcites →https://doi.org/10.2172/1776642openalex-snapshot

Experimental investigation on the binary/ternary fluidization behavior of Geldart D type spherical LDPE, Geldart D type cylindrical wood and Geldart B type sand particles

inferredcites →https://doi.org/10.2202/1542-6580.2045openalex-snapshot

Characterization of Fluidization and Segregation of Biomass Particles by Combining Image Processing and Pressure Fluctuations Analysis

inferredcites →https://doi.org/10.3389/feart.2021.713175openalex-snapshot

Modelling Settling-Driven Gravitational Instabilities at the Base of Volcanic Clouds Using the Lattice Boltzmann Method

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Simultaneous Flow and Particle Velocity Measurements in Multiphase Flows with Applications in Hydraulic Engineering: A Review and Synthesis of Current State

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Machine learning and physics‐informed modeling of cluster coalescence and breakage in gas–solid flows

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Investigation of spherical and non-spherical binary particles flow characteristics in a discharge hopper

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RETRACTED: Multi-scale experimental investigation on the fluidization of Geldart B 13X zeolite particles: A comprehensive dataset for CFD validation

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Dynamic in situ measurement of axial segregation of E-CAT particles in a bubbling fluidized bed

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inferred← citeshttps://doi.org/10.1016/j.ces.2025.121810openalex-snapshot

Assessment of particle shape and mass fraction on plastic- sand binary fluidization: Experiment and simulation

inferred← citeshttps://doi.org/10.1016/j.flowmeasinst.2024.102666openalex-snapshot

Simultaneous flow and particle measurements for multiphase flows in hydraulic engineering: A review and synthesis of current state

inferred← citeshttps://doi.org/10.1016/j.powtec.2023.118861openalex-snapshot

50 years of Geldart classification

inferred← citeshttps://doi.org/10.1016/j.powtec.2025.121681openalex-snapshot

An efficient non-spherical particle tracking strategy based on deep-learning and simulation-experiment integration

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Review of Machine Learning for Hydrodynamics, Transport, and Reactions in Multiphase Flows and Reactors

inferred← citeshttps://doi.org/10.1021/acs.iecr.2c04442openalex-snapshot

Hydrodynamics of Deep Fluidized Bed of Geldart D Particles

inferred← citeshttps://doi.org/10.1021/acs.iecr.3c04273openalex-snapshot

Machine Learning Assisted Characterization of Local Bubble Properties and Its Coupling with the EMMS Bubbling Drag

inferred← citeshttps://doi.org/10.1021/acs.iecr.4c02145openalex-snapshot

SuperDEM-CFD Modeling of Fluidization of Spherical and Cylindrical Particle Binary Mixtures and Experiment Validation

inferred← citeshttps://doi.org/10.24425/ams.2023.146183openalex-snapshot

Machine Vision Online Detection of Ore Granularity Based on Edge Computing

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Recent Advances in Particle Fluidization

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