4.6 Article

Improving the accuracy of two-fluid sub-grid modeling of dense gas -solid fluidized flows

Journal

CHEMICAL ENGINEERING SCIENCE
Volume 229, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2020.116021

Keywords

Fluidization; Dense flows; Two-fluid model; Sub-grid models; Filtered closures

Funding

  1. State of Sao Paulo Research Foundation (FAPESP), Brazil
  2. National Council for Scientific and Technological Development (CNPq), Brazil
  3. Coordination for the Improvement of Higher Level Personnel (CAPES), Brazil

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This study aims to improve the accuracy of gas-solid fluidization highly resolved simulations (HRS) by incorporating interparticle frictional effects and considering macro-scale conditions, as well as by enforcing a three-independent variable approach, which significantly contributes to improving correlation resolution of filtered parameters.
In gas-solid fluidization highly resolved simulations (HRS) with microscopic two-fluid modeling (mTFM) are frequently employed for deriving sub-grid closures for filtered parameters that are required in filtered formulations useful in large scale simulations of real flows. This work intends to contribute for improving the accuracy of underlying HRS raw data upon which the accuracy of sub-grid closures relies on, particularly regarding dense gas-solid fluidized flows. The accuracy of mTFM is improved by incorporating interparticle frictional effects. The accuracy of correlation to filtered parameters is improved by accounting for macro-scale conditions and by enforcing a three-independent variable approach. HRS were per formed in a periodic domain applying the mTFM of MFIX properly modified by the inclusion of a literature trustworthy interparticle friction model. Results showed that accounting for macro-scale conditions and for three independent variables considerably contributes for improving correlation resolution, while the effect of interparticle friction was only marginal. (c) 2020 Elsevier Ltd. All rights reserved.

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