4.7 Article

Correlation for predicting minimum fluidization velocity with different size distributions and bed inventories at elevated temperature in gas-solid fluidized bed

Journal

ADVANCED POWDER TECHNOLOGY
Volume 33, Issue 3, Pages -

Publisher

ELSEVIER
DOI: 10.1016/j.apt.2022.103483

Keywords

Bed inventory and temperature; Correlation for minimum fluidization & nbsp;& nbsp;velocity; Dimensional analysis; Minimum fluidization velocity; Particle size distribution (PSD)

Funding

  1. Second Century Fund [NRCT5-RSA63001-24]
  2. Second Century Fund (C2F), Chulalongkorn University
  3. National Research Council of Thailand
  4. Chulalongkorn University [NRCT5-RSA63001-24]

Ask authors/readers for more resources

This study provides detailed experimental information on the effects of solid particle size distribution (PSD), bed inventory, and bed temperature on the minimum fluidization velocity (U-mf). Silica sand with different average particle diameters and PSDs was used. The results demonstrate that wider PSDs have lower U-mf values compared to narrow cut particles with the same average particle diameter. The standard deviation (SD) and skewness of the PSD also affect the variation of U-mf. Additionally, increasing bed inventory and bed temperature lead to a decrease in U-mf. A new correlation considering these influencing factors has been proposed, which shows an average absolute deviation of 14.6% with experimental data. Furthermore, the proposed correlation has been evaluated with data from the literature, resulting in an average absolute deviation of 15.6%.
This study presents extensive experimental details of the effects of the solid particle size distribution (PSD), bed inventory, and bed temperature on the minimum fluidization velocity (U-mf). Silica sand with three average solid particle diameters and five PSDs was used. The results showed that the U-mf values of the wide PSDs were lower than those of the narrow cut particles with the same average particle diameter. The standard deviation (SD) and skewness of the PSD also influenced U-mf variation. Furthermore, the U-mf decreased with increasing bed inventory and bed temperature. The influencing parameters were recast into a dimensionless group and included in a new correlation for predicting U-mf. The proposed correlation estimated an average absolute deviation of 14.6% between the experimental data and predicted values. Furthermore, the new correlation was evaluated with a dataset from the literature and gave an average absolute deviation of 15.6%.& nbsp;(c) 2022 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.7
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available