Matlab fig files for the paper 'Fluidized bed gas-solid heat transfer using a CFD-DEM coarse-graining technique'

This is a set of Matlab .fig files corresponding to the figures in the paper 'Fluidized bed gas-solid heat transfer using a CFD-DEM coarse-graining technique' published in Chemical Engineering Science. The dataset consists of the following .fig files whereof a short description is given below: Figure 1: Dimensionless temperature profiles of a fixed bed heat transfer case compared with an analytical solution.Figure 5 A, B and C: Mean particle temperature versus time for three superficial velocities (u0 = 0.14, 0.20 and 0.30 m/s).Figure 6 A, B and C: Instantaneous particle temperature PDF for 5, 15 and 25 seconds for the three studied superficial velocities (u0 = 0.14, 0.20 and 0.30 m/s).Figure 7 A, B and C: Particle temperature over the axial position for the three studied superficial velocities (u0 = 0.14, 0.20 and 0.30 m/s).Figure 11: Time and spatially averaged Nusselt number for the three different superficial velocities over coarse-graining ratio.Figure 12 A, B and C: Normalized Nusselt number probability density functions for three different superficial velocities

Videos – CFD-DEM simulations: fluidisation of calcite-pellets in water

Videos – CFD-DEM simulations fluidisation calcium carbonate granules (calcite-pellets 0.8-0.9mm and 1.4-1.7mm) in wate

Matlab fig files for 'Experimental investigation of monodisperse solids drying in a gas-fluidized bed'

This is a set of Matlab .fig files corresponding to the figures in the paper 'Experimental investigation of monodisperse solids drying in a gas-fluidized bed' published in Chemical Engineering Science. In this study, experiments in a pseudo-2D fluidized bed setup were performed to obtain insight in the complex and changing bed hydrodynamics and its interplay with mass and heat transfer. The data was obtained by using a combined Particle Image Velocimetry (PIV), Digital Image Analysis (DIA) and Infrared (IR) technique

Data underlying: Fourier mode analysis for effective diffusion in coarse porous media via direct numerical simulations

This package contains a code for 3D resolved simulations of diffusion-reaction in randomized coarse porous media and the associated data. Throughout the simulations, the Fourier modes with n = 1-5 are determined and stored

Supplementary material for Hydrodynamics in a Randomly Packed Bed with Spherical Particles: A Comparison between PR-CFD Simulations and MRI Experiments

The data and scripts used in the experiments and simulations can be found in ‘SupplementaryMaterial.zip’. Inside the folder ‘/Figures’ the data to plot the figures of the article ‘Hydrodynamics in a Randomly Packed Bed with Spherical Particles: A Comparison between PR-CFD Simulations and MRI Experiments’ are provided. Inside the folder ‘/Reconstructed packing’ the positions and radii of the particles are provided, which allows to reconstruct the spherical particle packing used in the flow simulations. The raw image data in DICOM format from which these sphere positions and radii are obtained is provided inside the subfolder ‘/Raw data’. Inside the folder ‘/Matlab script for MRI’ the velocity data obtained from the MRI experiments is provided. The MATLAB scripts to calculate the velocity profiles in the article are provided as well. The raw spectrometer files in MRD format from which the velocity data is obtained are provided inside the subfolder ‘/Raw data’. Inside the folder ‘/Matlab script for PR-CFD’ the scripts for calculating the radial velocity and cumulative flow profiles which are reported in the article can be found. Figure 4 and 5 can be generated with the python script inside the folder ‘/Python script for PR-CFD’ from the vtk files which can be provided upon requests

Matlab fig files for paper Analysis of Particle-Resolved CFD Results for Dispersion in Packed Beds

This is a dataset consisting of Matlab .fig files corresponding to the figures in the paper 'Analysis of Particle-Resolved CFD Results for Dispersion in Packed Beds' published in the MDPI journal fluids. In this paper dispersion of an inert tracer injected in a slender packed bed is investigated by means of particle-resolved CFD simulations. Three figures show post-processed full-field data of porosity, velocity and concentration fields. Longitudinal dispersion is characterized using cummulant residence time distributions for different axial positions. This data is used to compute axial dispersion coefficients. From the spread in the radial direction as function of the axial position, transverse dispersion is obtained. The .fig files can be used to make high quality plots but also contain the data

Matlab fig files for the article: Experimental study on vibrating fluidized bed solids drying

This is a set of Matlab .fig files corresponding to the figures in the paper 'Experimental study on vibrating fluidized bed solids drying' published in Chemical Engineering Journal. In this study, experiments in a pseudo-2D vibro-fluidized bed setup are performed in order to better understand this improved drying behavior. A coupled particle image velocimetry - infrared thermography technique is applied to characterize the local solids velocity and temperature fields. This data-set provides the post-processed temperature characteristics dependent on operation conditions of the vibrating fluidized bed

Data underlying: Modeling the drying process of porous catalysts - impact of viscosity and surface tension

This package contains the Mathworks MATLAB scripts, associated input files, generated results and visualization via Originlab Origin which are related to the publication 'Modeling the drying process of porous catalysts - impact of viscosity and surface tension' in Chemical Engineering Scienc

Matlab fig files for 'the paper 'A detailed gas-solid fluidized bed comparison study on CFD-DEM coarse-graining techniques'

This is a set of Matlab .fig files corresponding to the figures in the paper 'A detailed gas-solid fluidized bed comparison study on CFD-DEM coarse-graining techniques' published in Chemical Engineering Science.In this study, we critically compared the coarse-graining scaling laws of Mu et al. [2020, Chemical Engineering Science: X 6.] and Sakai and Koshizuka [2009, Chemical Engineering Science: 64, 533–539.] for their effectiveness in characterizing a fluidized bed

Matlab fig files for the paper 'Experimental gas-fluidized bed drying study on the segregation and mixing dynamics for binary and ternary solids'

This is a set of Matlab .fig files corresponding to the figures in the paper 'Experimental gas-fluidized bed drying study on the segregation and mixing dynamics for binary and ternary solids' published in Chemical Engineering Journal. In this study, experiments in a pseudo-2D fluidized bed setup were performed to obtain insight in the complex and changing bed hydrodynamics and its interplay with mass and heat transfer. The data was obtained by using a combined Particle Image Velocimetry (PIV), Digital Image Analysis (DIA) and Infrared (IR) technique. Furthermore, a machine learning algorithm was applied in order to determine the segregation and mixing dynamics. The dataset consists of the following .fig files whereof a short description is given below: Figure 3: Minimum fluidization velocity determination using the mean pressure drop over the bed. Figure 4: Precision-recall analysis Figure 8: Segregation index based on the average height of the medium and large-sized solids.Figure 9: Segregation index based on the average height of the medium and large-sized solids.Figure 10 A, B, C and D: Time-averaged solids volume fluxes for the u0=0.975 m/s drying case at four different times.Figure 11 A, B, C and D: Time-averaged solids volume fluxes for the u0=1.17 m/s drying case at four different times.Figure 12 A, B, C and D: Time-averaged solids volume fluxes for the u0=1.365 m/s drying case at four different times.Figure 13 A and B: Mean particle temperature and standard deviation over time for the three different superficial gas velocities. Figure 17 A and B: Segregation indices based on the average height of the small, medium and large-sized solids.Figure 18 A, B, C and D: Time-averaged solids volume fluxes for the u0=0.7875 m/s drying case at four different times.Figure 19 A, B, C and D: Time-averaged solids volume fluxes for the u0=0.945 m/s drying case at four different times.Figure 20 A, B, C and D: Time-averaged solids volume fluxes for the u0=1.1025 m/s drying case at four different times.Figure 21 A and B: Mean particle temperature and standard deviation over time for the three different superficial gas velocities