CFD–DEM modeling of particle segregation behavior in a simulated flash smelting furnace

Particle behavior plays a crucial role in flash smelting furnaces, but limited understanding is hindering further development of this modern pyrometallurgical process. This study presents a two-way coupled CFD–DEM approach to investigate particle distribution, collision, and segregation behaviors within a furnace. The simulation results are validated against experimental data, demonstrating good agreement. The effects of the particle mass–flow rate and size distribution are then analyzed. The results indicate that small particles are carried by airflows to the center of the particle-dense region, whereas large particles remain at the outer part, worsening segregation. Increasing the mass–flow rate significantly increases the particle number density and number of particle collisions but barely influences size-induced segregation. In contrast, enlarging the size of fed particles reduces particle number density and broadens dense distribution within a safe range. This ensures the necessary space and high mixing index of the particles, which benefits high-rate smelting processes. • The CFD-DEM modeling of air-particle behaviors in FSFs is established. • Distribution characteristics of different-sized particles are revealed. • Increasing the mass-flow rate results in a higher particle concentration. • Increasing the particle size reduces the dense distribution and expands it safely.

Authors

Institutions

Publication Details

Journal
Powder Technology
Published
2024-09-23
DOI
https://doi.org/10.1016/j.powtec.2024.120310
Citations
6
Primary Topic
Metallurgical Processes and Thermodynamics
Type
article
Field-Weighted Citation Impact
1.28

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

CFD–DEM modeling of particle segregation behavior in a simulated flash smelting furnace

Zhenyu Zhu, Ping Zhou, Zhuo Chen, Shibo Kuang et al.
6 citations
Powder Technology
Metallurgical Processes and Thermodynamics
1.28
article

CFD–DEM modeling of particle segregation behavior in a simulated flash smelting furnace

Zhenyu Zhu, Ping Zhou, Zhuo Chen, Shibo Kuang, Dongling Wu
article en
6 citations

Abstract

Particle behavior plays a crucial role in flash smelting furnaces, but limited understanding is hindering further development of this modern pyrometallurgical process. This study presents a two-way coupled CFD–DEM approach to investigate particle distribution, collision, and segregation behaviors within a furnace. The simulation results are validated against experimental data, demonstrating good agreement. The effects of the particle mass–flow rate and size distribution are then analyzed. The results indicate that small particles are carried by airflows to the center of the particle-dense region, whereas large particles remain at the outer part, worsening segregation. Increasing the mass–flow rate significantly increases the particle number density and number of particle collisions but barely influences size-induced segregation. In contrast, enlarging the size of fed particles reduces particle number density and broadens dense distribution within a safe range. This ensures the necessary space and high mixing index of the particles, which benefits high-rate smelting processes. • The CFD-DEM modeling of air-particle behaviors in FSFs is established. • Distribution characteristics of different-sized particles are revealed. • Increasing the mass-flow rate results in a higher particle concentration. • Increasing the particle size reduces the dense distribution and expands it safely.

Powder TechnologyVol. 448
Central South University (CN), Monash University (AU)
National Natural Science Foundation of China, China Scholarship Council, Natural Science Foundation of Hunan Province
Openalex Percentile: Top 23%
Metallurgical Processes and Thermodynamics
1.28
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.

CFD–DEM modeling of particle segregation behavior in a simulated flash smelting furnace — Zhenyu Zhu, Ping Zhou, et al. · Powder Technology (2024) | TGRS Research Map | TGRS