Modeling of the gas–particle flow in industrial classification chambers for design optimization
A computational approach has been developed for the prediction of gas–particle flow and the simulation of the classification-settling characteristics of a particulate material flow in a gravitational classification chamber (GCC). By taking into account the classification chamber geometry and operati...
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Published in | Powder technology Vol. 125; no. 2; pp. 298 - 305 |
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Main Authors | , |
Format | Journal Article Conference Proceeding |
Language | English |
Published |
Lausanne
Elsevier B.V
11.06.2002
Elsevier |
Subjects | |
Online Access | Get full text |
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Summary: | A computational approach has been developed for the prediction of gas–particle flow and the simulation of the classification-settling characteristics of a particulate material flow in a gravitational classification chamber (GCC). By taking into account the classification chamber geometry and operating parameters, as well as the particulate material physical properties, the developed computational code allows the simulation, improvement and control of the operational characteristics of industrial settling, classification and/or separation chambers commonly used in process industries. The work assesses the performance of the computational code and demonstrates the capability of dedicated computational tools to model with accuracy complex industrial multiphase flows in order to support design criteria. |
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ISSN: | 0032-5910 1873-328X |
DOI: | 10.1016/S0032-5910(01)00518-6 |