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Mechanistic Scale-Up of Gas-Solid Fluidized Beds via Local Hydrodynamic Similarity
1 Chemical and Biochemical Engineering Department, Missouri University of Science and Technology (Missouri S&T), Rolla, MO 65409, USA
2 Chemical Engineering Department, Sirte University, Sirte, P.O. Box 674, Libya
3 Nuclear Engineering Department, Missouri University of Science and Technology (Missouri S&T), Rolla, MO 65409, USA
4 Nuclear Technologies Institute, King Abdulaziz City for Science and Technology (KACST), P.O. Box 6086, Riyadh, 11442, Saudi Arabia
5 Technology Development Cell, Mohammed VI Polytechnic University, Ben Guerir, 43150, Morocco
* Corresponding Authors: Thaar M. Aljuwaya. Email: ; Muthanna H. Al-Dahhan. Email:
Fluid Dynamics & Materials Processing 2025, 21(10), 2443-2471. https://doi.org/10.32604/fdmp.2025.067557
Received 06 May 2025; Accepted 16 October 2025; Issue published 30 October 2025
Abstract
This study presents a detailed experimental evaluation of a newly developed mechanistic scale-up methodology for gas-solid fluidized beds. Traditional scale-up approaches typically rely on matching global dimensionless groups, which often fail to ensure local hydrodynamic similarity. In contrast, the new mechanistic method aims to achieve scale-up by matching the radial profiles of gas holdup between geometrically similar beds at corresponding dimensionless axial positions (z/Dc). This approach is based on the premise that when gas holdup profiles align, other key hydrodynamic parameters—such as solids holdup and particle velocity—also become similar. To validate this methodology, experiments were conducted in two fluidized beds with inner diameters of 14 cm and 44 cm. Optical probes and gamma ray densitometry (GRD) were used to measure local gas holdup, solids holdup, and particle velocity at multiple axial and radial positions. The results show that matched gas holdup profiles led to mean absolute deviations (MAD) below 3% in solids holdup and particle velocity, confirming hydrodynamic similarity. In contrast, unmatched profiles resulted in significant deviations across all parameters.Keywords
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Copyright © 2025 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.


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