Numerical simulation of reduction behavior in shaft furnace based on DEM and CFD

Abstract Reasonable gas flow distribution can greatly enhance the reduction performance of the shaft furnace. Key parameters such as burden voidage, pellet size, gas inlet diameter, and gas inlet angle directly govern gas-solid contact and reactant uniformity. In this work, the voidage inside the shaft furnace with different pellet sizes was calculated by DEM method, and the effects of operating parameters and conditions such as pellet size, gas inlet diameter and gas inlet angle on the reduction performance of the shaft furnace were analyzed by CFD method. It was shown that the voidage increase with the increase of pellet size and shaft furnace height, and the range of voidage for 9–15 mm particles increased from 0.20–0.42 to 0.29–0.48. Smaller pellets (9 mm) achieved superior reduction efficiency, yielding a maximum Fe mass fraction of 82.9 % at the solid outlet, whereas larger pellets (15 mm) suffered from internal diffusion limitations (Fe mass fraction: 60.4 %). Enlarging the gas inlet diameter significantly enhanced reduction reaction, with Fe mass fraction rising from 70.8 % (0.2 m) to 90.8 % (0.4 m). In contrast, gas inlet angle variations exhibited negligible influence (<2 % change in component distributions). This work provides a theoretical basis for optimizing the operating parameters of the shaft furnace and improving the reduction efficiency.

Authors

Institutions

Publication Details

Journal
International Journal of Chemical Reactor Engineering
Published
2025-03-01
DOI
https://doi.org/10.1515/ijcre-2024-0109
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Numerical simulation of reduction behavior in shaft furnace based on DEM and CFD

Mingrong Huang, Zhanxia Di, Bin Yan, Bang Cheng
International Journal of Chemical Reactor Engineering
Metallurgical Processes and Thermodynamics
article

Numerical simulation of reduction behavior in shaft furnace based on DEM and CFD

Mingrong Huang, Zhanxia Di, Bin Yan, Bang Cheng
article en

Abstract

Abstract Reasonable gas flow distribution can greatly enhance the reduction performance of the shaft furnace. Key parameters such as burden voidage, pellet size, gas inlet diameter, and gas inlet angle directly govern gas-solid contact and reactant uniformity. In this work, the voidage inside the shaft furnace with different pellet sizes was calculated by DEM method, and the effects of operating parameters and conditions such as pellet size, gas inlet diameter and gas inlet angle on the reduction performance of the shaft furnace were analyzed by CFD method. It was shown that the voidage increase with the increase of pellet size and shaft furnace height, and the range of voidage for 9–15 mm particles increased from 0.20–0.42 to 0.29–0.48. Smaller pellets (9 mm) achieved superior reduction efficiency, yielding a maximum Fe mass fraction of 82.9 % at the solid outlet, whereas larger pellets (15 mm) suffered from internal diffusion limitations (Fe mass fraction: 60.4 %). Enlarging the gas inlet diameter significantly enhanced reduction reaction, with Fe mass fraction rising from 70.8 % (0.2 m) to 90.8 % (0.4 m). In contrast, gas inlet angle variations exhibited negligible influence (<2 % change in component distributions). This work provides a theoretical basis for optimizing the operating parameters of the shaft furnace and improving the reduction efficiency.

International Journal of Chemical Reactor EngineeringVol. 23(3)
Anhui University of Technology (CN)
Openalex Percentile: Top 92%
Metallurgical Processes and Thermodynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Numerical simulation of reduction behavior in shaft furnace based on DEM and CFD — Mingrong Huang, Zhanxia Di, et al. · International Journal of Chemical Reactor Engineering (2025) | TGRS Research Map | TGRS