Mathematical modelling and numerical optimization of particle heating process in copper flash furnace

Gao, Dong-bo; Peng, Xiaoqi; Song, Yanpo; Zhu, Zhenyu; Dai, Yang

doi:10.1016/s1003-6326(21)65594-2

Cited by 8 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mathematical modelling is an effective method to reveal the influence of various parameters on the reduction characteristics of iron ore particles. The theoretical analyses using classical mass and energy balance methodology have been extensively reported for the particle heating and reaction process in copper flash smelting [27][28][29]. Some studies in flash ironmaking involve heat transfer analysis of particles.…”

Section: Introductionmentioning

confidence: 99%

Wall reduction and heat transfer characteristics of captured iron ore particles during flash ironmaking process

Cheng

Shen

Yang

et al. 2023

Ironmaking & Steelmaking

View full text Add to dashboard Cite

The wall reaction and heat transfer characteristics of captured particles in the flash ironmaking reactor are essential to the reduction degree and liquid phase flow. In-situ studies of near-wall reduction were conducted using a high-temperature hot-stage microscope. Furthermore, a mathematical model was established for analyzing heat and mass transfer in iron ore particles. Results showed that above 1642 K, haematite particles partially melted, forming a bilayer structure with a molten ring and unmolten core as the liquid intermediate product spread rapidly. Higher gas flowrates prolonged melting product diffusion time. The liquid intermediate product volume predicted by the mathematical model matched well with the experimental data. Computational analysis revealed fluctuating particle temperatures during the reaction process, with the degree influenced by the reaction rate. Fluctuations increased with higher CO gas flowrate, particle size, and gas temperature, with gas temperature being the most influential factor.

show abstract

Section: Introductionmentioning

confidence: 99%

Wall reduction and heat transfer characteristics of captured iron ore particles during flash ironmaking process

Cheng

Shen

Yang

et al. 2023

Ironmaking & Steelmaking

View full text Add to dashboard Cite

show abstract

“…However, the Peirce-Smith batch converting process has the disadvantages of low SO 2 utilization, gas fugitive emissions, and discontinuous operation. The flash converting and bath converting technologies have been developed to overcome the disadvantages [4,5]. Copper fire refining is mostly carried out in a rotary refining furnace, blowing gas, such as O 2 , CO 2, and N 2, for the removal of sulfur and adding reductants for the removal of oxygen [6,7].…”

Section: Introductionmentioning

confidence: 99%

Distribution and Control of Arsenic during Copper Converting and Refining

Tan

Liao

et al. 2022

Metals

View full text Add to dashboard Cite

Arsenic content in copper concentrates is continuously increasing worldwide. It is desirable to remove arsenic from copper in the earlier stages of copper making due to the deposition of arsenic to cathode copper during the electrorefining process. Effects of temperature, flux, and oxygen on the distribution of arsenic during copper converting and fire refining processes were studied using FactSage 8.2. The results showed that arsenic can be effectively removed by proper selection of converting and refining slags. The decrease in Fe/SiO2 or Fe/CaO ratio in the converting slag is favorable for arsenic distributed to slag. CaO is more effective than SiO2 in decreasing the liquidus temperature of the slag and arsenic content in the blister copper during the converting process. Na2O or CaO as a flux is effective to remove arsenic in the fire refining process.

show abstract

Thermodynamic and CFD analysis of recycling Cu-As-containing filter cake waste and black copper sludge by feeding them back into FSF

Chen

Peng

Zhu

et al. 2023

Minerals Engineering

View full text Add to dashboard Cite

Mathematical modelling and numerical optimization of particle heating process in copper flash furnace

Cited by 8 publications

References 15 publications

Wall reduction and heat transfer characteristics of captured iron ore particles during flash ironmaking process

Wall reduction and heat transfer characteristics of captured iron ore particles during flash ironmaking process

Distribution and Control of Arsenic during Copper Converting and Refining

Thermodynamic and CFD analysis of recycling Cu-As-containing filter cake waste and black copper sludge by feeding them back into FSF

Contact Info

Product

Resources

About