Computational prediction of the just-suspended speed, Njs, in stirred vessels using the lattice Boltzmann method (LBM) coupled with a novel mathematical approach

Document Type

Article

Publication Date

4-6-2022

Abstract

The determination of the minimum agitation speed, Njs, to achieve the just-suspended off-bottom solid suspension state in liquids in stirred vessels is an issue of significant importance in industrial processes. Here, Njs was computationally predicted for a stirred, fully baffled vessel provided with different axial or radial impellers using an LBM-based CFD model coupled with a novel method to extract Njs from the computational results. Accordingly, the number of solid particles in a very thin control volume near the bottom of the vessel were computationally predicted over a range of agitation speeds, N, to determine the mass fraction of suspended solids, Xm. A regression analysis based on the logistic equation was then applied to the Xm-N curves and a simple, derivative-based mathematical method was applied to predict Njs. The results obtained with this novel computational approach were found to be in good agreement with previous experimental data.

Identifier

85123805010 (Scopus)

Publication Title

Chemical Engineering Science

External Full Text Location

https://doi.org/10.1016/j.ces.2021.117411

ISSN

00092509

Volume

251

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