An Advanced Evaluation of the Mechanistic Scale-up Methodology of Gas-Solid Spouted Beds using Radioactive Particle Tracking
Abstract
We implemented for the first time our radioactive particle tracking as an advanced noninvasive technique to further evaluate and validate our newly developed mechanistic scale-up methodology based on matching the radial profile of the gas holdup. Two spouted beds with diameters of 0.076 and 0.152 m were used. Three sets of conditions were implemented; i.e., conditions of the reference case, conditions that provided a gas-holdup radial profile similar to that of the reference case, and conditions that provided a gas-holdup radial profile dissimilar to that of the reference case. The results confirm the validation of the scale-up methodology in terms of obtaining closer dimensionless values and radial profiles of components of the particle velocity, normal stress, shear stress, and turbulent kinetic energy. The results further advance the understanding of gas-solids spouted beds, provide deeper insight into the solids dynamics of the beds and present important benchmarking data for validating computational fluid dynamics codes and models.
Recommended Citation
N. Ali et al., "An Advanced Evaluation of the Mechanistic Scale-up Methodology of Gas-Solid Spouted Beds using Radioactive Particle Tracking," Particuology, vol. 34, pp. 48 - 60, Elsevier, Oct 2017.
The definitive version is available at https://doi.org/10.1016/j.partic.2016.11.005
Department(s)
Chemical and Biochemical Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Keywords and Phrases
Computational Fluid Dynamics; Gases; Kinetic Energy; Kinetics; Radioactive Tracers; Radioactivity; Shear Flow; Shear Stress; Turbulence; Velocity; Velocity Control; Isotropic Particles; Radioactive Particle Tracking; Scaling-Up; Spouted Bed; Three-Dimensional Velocity Fields; Fluidized Beds; Tristructural-Isotropic Particle
International Standard Serial Number (ISSN)
1674-2001
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Elsevier, All rights reserved.
Publication Date
01 Oct 2017