Fluidization of variable short fiber/powder mixtures: hydrodynamic investigation
[Display omitted] •Numerical determination of the minimum fluidization velocity as a function of the operating parameters.•Prediction of the equivalent hydraulic diameter of short fiber/powder mixtures in variable proportions.•Coefficient estimation of the Darcy-Klinkenberg hydrodynamic equation ada...
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Veröffentlicht in: | Chemical engineering journal (Lausanne, Switzerland : 1996) Switzerland : 1996), 2023-09, Vol.471, p.144846, Article 144846 |
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Sprache: | eng |
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•Numerical determination of the minimum fluidization velocity as a function of the operating parameters.•Prediction of the equivalent hydraulic diameter of short fiber/powder mixtures in variable proportions.•Coefficient estimation of the Darcy-Klinkenberg hydrodynamic equation adapted to fiber/powder mixtures.•Accurate prediction (±10%) of the minimum fluidization velocity by semi-empirical correlation with Kn.•Extension and specification of the fluidized bed expansion equation as a function of operating parameters.
The behavior of a particle mixture composed of short fibers and silicon carbide powder in variable proportions has been experimentally investigated. The study shows that the hydrodynamic behavior of a bed initially composed of powder is affected as soon as a few percent of short fibers are added. The minimum fluidization velocity (Umf) is globally lowered and the intrinsic properties of the porous medium (equivalent particle diameter, porosity, flow coefficients…) are altered. Several hydrodynamic equations describing Umf as a function of the pressure are considered and the intrinsic properties of the bed such as the hydraulic diameter or the Darcy and Knudsen coefficients are fitted. The Darcy-Klinkenberg equation on one hand and a semi-empirical correlation based on Ergün’s equation on the other hand, are both adapted to describe the Umf behavior as a function of a limited number of initial parameters. The semi-empirical correlation leads to the best Umf prediction, with an absolute error of less than 10%, using only the temperature, pressure and percentage of fibers in the mixture as input parameters. |
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ISSN: | 1385-8947 1873-3212 |
DOI: | 10.1016/j.cej.2023.144846 |