A Self-Adaption Growth Model for the Burden Packing Process in a Bell-Less Blast Furnace

Dongling Wu, Fengjie Yao, Duoyong Zhang, Enxue Zu, Ping Zhou*, Wei Chen*

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

The burden structure directly decides the distribution of gas flow inside a blast furnace (BF). Falling, stacking, and descending bulk materials are the three main processes for burden formation, among which the stacking process plays a decisive role. The Discrete Element Method (DEM) and theoretical modelling were combined to predict stacking behavior in this study. Falling and stacking behaviors were first simulated based on DEM. The repose angle during the stacking process and mass fraction distribution in the radial direction were analyzed. Then, the upper, centroid, and lower trajectory falling lines were determined, and a polynomial relation was found between the angle and the packing height. The influences of three parameters on the repose angle were investigated. Compared with the natural repose angle and chute inclination angle, the effects of the trajectory line depth appeared trivial. The polynomial relation between the repose angle and the packing height was specified to be a function of the natural angle of repose and the chute inclination angle. A three-trajectory falling model and quadratic expression were embedded in the theoretical model, yielding a self-adaption packing model. The model was proved reliable with a low relative error, below 15%.

Original languageEnglish
Article number1523
JournalProcesses
Volume12
Issue number7
DOIs
Publication statusPublished - Jul 2024

Keywords

  • blast furnace
  • burden distribution
  • Discrete Element Method (DEM)
  • flow trajectory
  • packing model

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