N. Romijn’s research while affiliated with Eindhoven University of Technology and other places

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Publications (4)


Hydrodynamics in a randomly packed bed of cylindrical particles: A comparison between PR-CFD simulations and MRI experiments
  • Article

November 2024

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31 Reads

Chemical Engineering Science

N. Romijn

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M.W. Hoogendoorn

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[...]

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Schematic representation of the experimental setup used in the acquisition of image data.
Radial profiles obtained from MRI measurements (square markers) and PR‐CFD simulations (solid lines) showing the porosity (red; A, C, E) and normalized flow velocity (black; A, C, E), and the dimensionless cumulative flow profile (B, D, F) averaged along the central axis of the column as a function of the normalized distance from the column wall for the different Rep of 10 (A, B), 30 (C, D), and 50 (E, F).
Probability density functions (PDFs) obtained from MRI measurements (square markers) and PR‐CFD simulations (solid lines) showing the probability to find a certain normalized velocity within the bed for the different Rep of 10 (A,B), 30 (C,D) and 50 (E,F). Data are shown before (A, C, and E) and after (B, D, and F) the application of the postprocess image analysis to minimize magnetic susceptibility induced artifacts in the measured flow velocity.
Flow fields showing the longitudinal (A,B,E,F,I,J) and transverse (C,D,G,H,K,L) images for both the MRI measured and PR‐CFD simulated normalised velocity in the main flow direction for the different Rep of 10 (A–D), 30 (E–H), and 50 (I–L). The flow in the longitudinal images is from left to right. Positive velocities indicate flow in the direction of the main flow. The blue lines are the lines along which the one‐dimensional velocity profiles shown in Figure 5 are compared.
One‐dimensional (1D) flow profiles showing the MRI measured (black dashed lines) and PR‐CFD simulated (black solid lines) normalized velocity as a function of the normalized distance from the center of the column wall for the different Rep of 10 (A,B), 30 (C,D) and 50 (E,F). The corresponding porosity profiles obtained from the flow experiments (red dashed lines) and reconstruction (red solid lines) are also provided. (Particles are identified by zero velocity values.) See Figure 4 for the lines in the packing where these profiles are measured. Data is shown before (A, C, and E) and after (B, D, and F) the application of the postprocess image analysis to minimize magnetic susceptibility induced artifacts in the measured flow velocity. A positive velocity indicates flow in the main flow direction.
Hydrodynamics in a randomly packed bed of spheres: A comparison between PR‐CFD simulations and MRI experiments
  • Article
  • Full-text available

January 2024

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162 Reads

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6 Citations

Multitubular reactors are commonly used in industry for processes involving highly exothermic chemical reactions. This reactor type consists of individual tubes, with a small diameter compared to the particle size. These slender beds facilitate heat management, but also give rise to flow maldistribution, which decreases the reactor efficiency. The aim of this article is to validate particle‐resolved simulations using Magnetic Resonance Imaging experiments while focusing on the flow maldistribution. The packing structure used in the simulations is reconstructed from the experimental images to facilitate a one‐to‐one comparison. A good match between experiments and simulations is found for the averaged flow profile, probability density function of the velocity in axial direction and even the local velocity distributions. However, a correction of the experimental results for magnetic susceptibility artifacts is necessary to obtain a similar match in the probability density functions and the local profiles.

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Numerical and experimental study of the flow distribution inside slender packed beds of spherocylindrical particles

October 2023

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206 Reads

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4 Citations

Powder Technology

Citations (3)


... Besides these, for the area of multiphase flow CFD simulations, the development of PRCFD has provided an excellent modeling tool for detailed simulations of hydrodynamics in the structure of packed packing [23][24][25][26]. In addition, as a precise modeling tool for PRCFD simulations of packed bed hydrodynamics, it has been utilized for comparative analyses with other methods and measurement techniques, such as pore network modeling [27], Magnetic Resonance Imaging (MRI) [28], and Particle Image Velocimetry (PIV) regarding packed bed hydrodynamics [29]. Furthermore, CFD can be used to analyze the uneven flow within fixed-bed chromatography devices [30]. ...

Reference:

Particle-resolved computational fluid dynamics simulation of the heat transfer in fixed-bed reactors for heterogeneous catalysis: A review
Hydrodynamics in a randomly packed bed of spheres: A comparison between PR‐CFD simulations and MRI experiments

... This phenomenon, known as wall channeling, becomes more pronounced as the column-to-particle diameter ratio decreases. The work was extended to particles with flat surfaces [19] and spherocylinders [20]. The comparison of the PNM results with PR-CD and Magnetic Resonance Imaging (MRI) showed that PNM is able to capture the obtained flow maldistribution for these more intrinsic particles as well. ...

Numerical and experimental study of the flow distribution inside slender packed beds of spherocylindrical particles

Powder Technology

... This method effectively separated particles even when they were in close contact, i.e. 'touching' particles. The reconstruction error, calculated on bases of a synthetic packing containing 100 particles and considering the adopted image resolution, was approximately 0.03 mm for particle position [46]. ...

Reconstruction of particle positions and orientations from 3D MRI images of non-spherical particle packings
  • Citing Article
  • October 2023

Particuology