Hydrodynamic models for slurry bubble column reactors. Fifth technical progress report

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Description

The objective of this work is to convert our `learning gas-solid-liquid` fluidization model into a predictive design model. The IIT hydrodynamic model computes the phase velocities and the volume fractions of gas, liquid, and particulate phases. Model verification involves a comparison of these computed velocities and volume fractions to experimental values.

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10 p.

Creation Information

Gidaspow, D. October 1, 1995.

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This report is part of the collection entitled: Office of Scientific & Technical Information Technical Reports and was provided by UNT Libraries Government Documents Department to Digital Library, a digital repository hosted by the UNT Libraries. More information about this report can be viewed below.

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Description

The objective of this work is to convert our `learning gas-solid-liquid` fluidization model into a predictive design model. The IIT hydrodynamic model computes the phase velocities and the volume fractions of gas, liquid, and particulate phases. Model verification involves a comparison of these computed velocities and volume fractions to experimental values.

Physical Description

10 p.

Notes

OSTI as DE96007539

Source

  • Other Information: PBD: Oct 1995

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  • Other: DE96007539
  • Report No.: DOE/PC/94208--T5
  • Grant Number: FG22-94PC94208
  • DOI: 10.2172/192450 | External Link
  • Office of Scientific & Technical Information Report Number: 192450
  • Archival Resource Key: ark:/67531/metadc667890

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Creation Date

  • October 1, 1995

Added to The UNT Digital Library

  • June 29, 2015, 9:42 p.m.

Description Last Updated

  • Dec. 18, 2015, 1 p.m.

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Gidaspow, D. Hydrodynamic models for slurry bubble column reactors. Fifth technical progress report, report, October 1, 1995; United States. (digital.library.unt.edu/ark:/67531/metadc667890/: accessed September 20, 2017), University of North Texas Libraries, Digital Library, digital.library.unt.edu; crediting UNT Libraries Government Documents Department.