Validation of CFD–DEM model for iron ore reduction at particle level and parametric study--颗粒学报PARTICUOLOGY

E, D. (2020). Validation of CFD–DEM model for iron ore reduction at particle level and parametric study. Particuology, 51, 163-172. https://doi.org/10.1016/j.partic.2019.10.008

Validation of CFD–DEM model for iron ore reduction at particle level and parametric study

Dianyu E^{a b *}

a International Research Institute for Minerals, Metallurgy and Materials, Jiangxi University of Science and Technology, Nanchang 330013, China
b Department of Chemical Engineering, Monash University, Clayton, VIC 3800, Australia

10.1016/j.partic.2019.10.008

Volume 51, August 2020, Pages 163-172

Received 11 April 2019, Revised 20 September 2019, Accepted 23 October 2019, Available online 3 January 2020, Version of Record 11 April 2020.

E-mail: dianyu.e@jxust.edu.cn

Highlights

• A particle-scale numerical model of iron ore reduction was developed and systematically validated.

• Reduction rates obtained with and without accounting for gas film resistance differ slightly (by ∼3%).

• The reduction rate increases significantly with increasing pressure up to ∼5 atm.

• Under non-isothermal conditions, the entire reduction process slows down.

Abstract

Iron ore reduction is a primary unit operation in current metallurgy processes and dominates the energy consumption and greenhouse gas (GHG) emissions of the iron-making process. Therefore, even a slight improvement of the energy efficiency or GHG emissions of iron ore reduction would yield considerable benefits to the cost of pig iron and, more importantly, to mitigation of the associated carbon footprint. The current study presents a discrete model that describes the iron ore reduction process for a single pellet. The transient reaction progress can be predicted and is validated against experimental measurements under various operating conditions, including different reducing gases and temperatures. The effects of pressure, isothermality, gas composition, and flow rate on reduction are investigated. The reduction rate increases significantly with increasing pressure until 5 atm, and the entire reduction process occurs more slowly under non-isothermal conditions than under isothermal conditions. This work provides a solid foundation for the development of a comprehensive particulate system model that considers both heat and mass transfer.

Graphical abstract

Keywords

Iron ore reduction; Chemical reaction; Blast furnace; Discrete element method' Computational fluid dynamics

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