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Title: 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:
ORCiD logo [1]; ORCiD logo [2];  [3]; ORCiD logo [2];  [4];  [5]
  1. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Univ. of Tennessee, Knoxville, TN (United States)
  2. Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)
  3. Saudi Arabia Basic Industries Corporation Americas, Sugar Land, TX (United States)
  4. Separation Design Group, Waynesburg, PA (United States)
  5. 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. doi: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. doi: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}
}

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