Computational study of the bubbling-to-slugging transition in a laboratory-scale fluidized bed
Abstract
Here, we report results from a computational study of the transition from bubbling to slugging in a laboratory-scale fluidized-bed reactor with Geldart Group B glass particles. For simulating the three-dimensional fluidized-bed hydrodynamics, we employ MFiX, a widely studied multi-phase flow simulation tool, that uses a two-fluid Eulerian-Eulerian approximation of the particle and gas dynamics over a range of gas flows. We also utilize a previously published algorithm to generate bubble statistics that can be correlated with pressure fluctuations to reveal previously unreported details about the stages through which the hydrodynamics progress during the bubbling-to-slugging transition. We expect this new information will lead to improved approaches for on-line reactor diagnostics, as well as new approaches for validating the results of computational fluidized-bed simulations with experimental measurements.
- Authors:
-
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Saudi Arabia Basic Industries Corporation Americas, Sugar Land, TX (United States)
- Separation Design Group, Waynesburg, PA (United States)
- Fiat Chrysler Automobiles US LLC, Auburn Hills, MI (United States)
- Publication Date:
- Research Org.:
- Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1461069
- Alternate Identifier(s):
- OSTI ID: 1396378
- Grant/Contract Number:
- AC05-00OR22725; AC0500OR22725
- Resource Type:
- Accepted Manuscript
- Journal Name:
- Chemical Engineering Journal
- Additional Journal Information:
- Journal Volume: 308; Journal Issue: C; Journal ID: ISSN 1385-8947
- Publisher:
- Elsevier
- Country of Publication:
- United States
- Language:
- English
- Subject:
- 42 ENGINEERING; Multiphase flow; Skewness and kurtosis; Higher order statistics; Bubble regime transition; Pressure fluctuations; MS3DATA
Citation Formats
Ramirez, Emilio, Finney, Charles E. A., Pannala, Sreekanth, Daw, C. Stuart, Halow, Jack, and Xiong, Qingang. Computational study of the bubbling-to-slugging transition in a laboratory-scale fluidized bed. United States: N. p., 2016.
Web. doi:10.1016/j.cej.2016.08.113.
Ramirez, Emilio, Finney, Charles E. A., Pannala, Sreekanth, Daw, C. Stuart, Halow, Jack, & Xiong, Qingang. Computational study of the bubbling-to-slugging transition in a laboratory-scale fluidized bed. United States. https://doi.org/10.1016/j.cej.2016.08.113
Ramirez, Emilio, Finney, Charles E. A., Pannala, Sreekanth, Daw, C. Stuart, Halow, Jack, and Xiong, Qingang. Tue .
"Computational study of the bubbling-to-slugging transition in a laboratory-scale fluidized bed". United States. https://doi.org/10.1016/j.cej.2016.08.113. https://www.osti.gov/servlets/purl/1461069.
@article{osti_1461069,
title = {Computational study of the bubbling-to-slugging transition in a laboratory-scale fluidized bed},
author = {Ramirez, Emilio and Finney, Charles E. A. and Pannala, Sreekanth and Daw, C. Stuart and Halow, Jack and Xiong, Qingang},
abstractNote = {Here, we report results from a computational study of the transition from bubbling to slugging in a laboratory-scale fluidized-bed reactor with Geldart Group B glass particles. For simulating the three-dimensional fluidized-bed hydrodynamics, we employ MFiX, a widely studied multi-phase flow simulation tool, that uses a two-fluid Eulerian-Eulerian approximation of the particle and gas dynamics over a range of gas flows. We also utilize a previously published algorithm to generate bubble statistics that can be correlated with pressure fluctuations to reveal previously unreported details about the stages through which the hydrodynamics progress during the bubbling-to-slugging transition. We expect this new information will lead to improved approaches for on-line reactor diagnostics, as well as new approaches for validating the results of computational fluidized-bed simulations with experimental measurements.},
doi = {10.1016/j.cej.2016.08.113},
journal = {Chemical Engineering Journal},
number = C,
volume = 308,
place = {United States},
year = {2016},
month = {8}
}
Web of Science