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Title: Evaluation of correlations for minimum fluidization velocity (Umf) in gas-solid fluidization
Authors: Anantharaman, Aditya
Cocco, Ray A.
Chew, Jia Wei
Keywords: Engineering::Chemical engineering
Issue Date: 2018
Source: Anantharaman, A., Cocco, R. A., & Chew, J. W. (2018). Evaluation of correlations for minimum fluidization velocity (Umf) in gas-solid fluidization. Powder Technology, 323, 454-485. doi:10.1016/j.powtec.2017.10.016
Journal: Powder Technology
Abstract: The minimum fluidization velocity (Umf), defined as the superficial gas velocity at which the drag force of the upward moving gas becomes equal to the weight of the particles in the bed, is one of the most important parameters associated with a fluidized bed system. Specifically, it is the point at which all the particles become suspended. Unsurprisingly, more than a hundred correlations have sprouted since 1950 to enable the prediction of the Umf value. However, discrepancies among the predictions are significant, which limits the utility of each correlation. Accordingly, this study attempts to provide a comprehensive comparison of the Umf values predicted by the correlations available, which are classified into four types depending on the form of the equation and applied to more popular Geldart Groups A, B and D particles. The following observations are highlighted: (i) discrepancies among Umf predictions are presumably attributed to the empirical data-fitting based on limited experimental datasets rather than physical understanding; (ii) correlations involving an empirical coefficient as an exponent exhibit greater discrepancies (up to 6 orders-of-magnitude) in Umf predictions than those without; (iii) predictions for Geldart Group A particles displayed greater discrepancies across categories, due to a lack of understanding of cohesive forces associated with Group A particles; (iv) correlations involving voidage (εmf) and sphericity (φ) exhibit more unphysical trends than those without, presumably due to a limited range of εmf and φ experimentally assessed, hence the inclusion of these two parameters increased the errors associated with these correlations. A mechanistically based correlation may be still intractable at this point, so recommendations are made for future studies on improving the prediction of Umf.
ISSN: 0032-5910
DOI: 10.1016/j.powtec.2017.10.016
Rights: © 2017 Elsevier B.V. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
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