Flow Regime Identification in Spouted Beds using Gamma-Ray Densitometry
Abstract
The mixing characteristics, flow patterns and hydrodynamics of gas-solid spouted beds depend on the type of operating flow regime. In the present work, Gamma-Ray Densitometry (GRD) technique has been developed and implemented for the first time to identify different flow regimes and their transition velocities in gas-solid spouted beds. Two spouted beds (0.152 m and 0.076 m diameter) have been used to identify various flow regimes. Three statistical parameters (mean, variance and flow regime indicator (I)) have been applied to analyze the photon counts from GRD. It was found that the implementation of such non-invasive radioisotope based technique, GRD, was successfully able to identify different flow regimes and their transition velocities in gas-solid spouted beds. Flow regimes of packed bed, stable spouting and unstable spouting have been identified in the two studied spouted beds. Furthermore, the stable spouting regime achieved at larger magnitudes of the range of the superficial gas velocity in a larger diameter bed as compared to those in a smaller diameter bed.
Recommended Citation
S. Aradhya et al., "Flow Regime Identification in Spouted Beds using Gamma-Ray Densitometry," Flow Measurement and Instrumentation, vol. 55, pp. 67 - 72, Elsevier, Jun 2017.
The definitive version is available at https://doi.org/10.1016/j.flowmeasinst.2017.01.006
Department(s)
Chemical and Biochemical Engineering
Research Center/Lab(s)
Center for High Performance Computing Research
Keywords and Phrases
Packed Beds; Statistical Methods; Flow Regime Identification; Flow Regimes; Gamma Ray Densitometry; Mixing Characteristics; Spouted Bed; Statistical Parameters; Superficial Gas Velocities; Transition Velocities; Gamma Rays; Statistical Analysis
International Standard Serial Number (ISSN)
0955-5986
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2017 Elsevier, All rights reserved.
Publication Date
01 Jun 2017