Numerical study on the thermochemical behavior evolution during dynamic batch weight conversion in a blast furnace

JI Langyong; FAN Haihan; WENG Lingyi; SU Zhongfang; CUI Jiaxin; E Dianyu

doi:10.13264/j.cnki.ysjskx.2023.06.003

Volume 14 Issue 6

Dec. 2023

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Nonferrous Metals Science and Engineering > 2023 > 14(6): 764-772. > DOI: 10.13264/j.cnki.ysjskx.2023.06.003

JI Langyong, FAN Haihan, WENG Lingyi, SU Zhongfang, CUI Jiaxin, E Dianyu. Numerical study on the thermochemical behavior evolution during dynamic batch weight conversion in a blast furnace[J]. Nonferrous Metals Science and Engineering, 2023, 14(6): 764-772. DOI: 10.13264/j.cnki.ysjskx.2023.06.003

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Numerical study on the thermochemical behavior evolution during dynamic batch weight conversion in a blast furnace

JI Langyong^{1, 2},
FAN Haihan^{1, 2},
WENG Lingyi^{1, 2},
SU Zhongfang^{1, 2},
CUI Jiaxin^{1, 2},
E Dianyu^{1, 2, ,}

1.
Jiangxi Provincial Key Laboratory for Simulation and Modelling of Particulate Systems, Jiangxi University of Science and Technology, Nanchang 330013, China
2.
International Institute for Innovation, Jiangxi University of Science and Technology, Nanchang 330013, China

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Received Date: November 06, 2022
Revised Date: December 10, 2022
Available Online: December 28, 2023

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Abstract

Abstract

In order to achieve the “carbon peaking and carbon neutrality” goal, China's ironmaking industry is facing a major challenge of energy saving and emission reduction. The study of the evolution of thermochemical behaviors during the transition from conventional blast furnaces to low-carbon blast ones plays an important guiding and promoting role in the green and low-carbon development of ironmaking technology. In this work, a coupled computational fluid dynamics and discrete element method (CFD-DEM) approach was employed to investigate the instantaneous effects of the dynamic changes of batch weight on the temperature field, cohesive zone and iron ore reduction degree distribution in the blast furnace. The results showed that when the batch weight reduced by 21.50%, the average solid temperature, cohesive zone height and average iron ore reduction degree were reduced by 5.81%, 7.18% and 3.08%, and vice versa. It was found that the main operating parameters and characteristics could be restored to their previous levels when the batch weight was reduced or added to about 21.50% for this studied experimental blast furnace. Additionally, the restoration time cost of the transition process between the two dynamic equilibriums gradually decreased due to the adjustment of batch weight. In addition, the higher the average temperature of the inner burden, the faster it will reach a new dynamic equilibrium during batch weight variation.
- blast furnace process,
- batch weight,
- process evolution,
- modelling and simulation,
- thermochemical behavior

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[1]	KURUNOV I F. The blast-furnace process is there any alternative?[J]. Metallurgist, 2012, 56(3): 241-246.
[2]	杨天钧,张建良,刘征建,等.低碳炼铁势在必行[J].炼铁, 2021, 40(4): 1-11.
[3]	XU B H, YU A B. Numerical simulation of the gas-solid flow in a fluidized bed by combining discrete particle method with computational fluid dynamics[J]. Chemical Engineering Science,1997, 52(16): 2785-2809.
[4]	DONG X F, YU A B, YAGI J I, et al. Modelling of multiphase flow in a blast furnace: recent developments and future work[J]. ISIJ International, 2007, 47(11): 1553-1570.
[5]	KUANG S B, ZHOU M M, YU A B. CFD-DEM modelling and simulation of pneumatic conveying: a review[J]. Powder Technology, 2019, 365: 186-207.
[6]	BANAEI M, JEGERS J, VAN SINT ANNALAND M, et al. Tracking of particles using TFM in gas-solid fluidized beds[J]. Advanced Powder Technology, 2018, 29(10): 2538-2547.
[7]	HOU Q F, E D Y, YU A B. Discrete particle modeling of lateral jets into a packed bed and micromechanical analysis of the stability of raceways[J]. AIChE Journal, 2016, 62(12): 4240-4250.
[8]	WEI G C, ZHANG H, AN X Z, et al. CFD-DEM study on heat transfer characteristics and microstructure of the blast furnace raceway with ellipsoidal particles[J]. Powder Technology, 2019, 346: 350-362.
[9]	夏修浩,周连勇,马华庆,等.颗粒形状模型对高炉布料过程DEM模拟的影响[J]. 钢铁研究学报, 2021, 33(12): 1228-1236.
[10]	LIU S D, ZHOU Z Y, DONG K J, et al. Numerical investigation of burden distribution in a blast furnace[J]. Steel Research International, 2015, 86(6): 651-661.
[11]	LI Z Y, KUANG S B, LIU S D, et al. Numerical investigation of burden distribution in ironmaking blast furnace[J]. Powder Technology, 2019, 353: 385-397.
[12]	吴俊明,周振峰,彭星,等.氧气高炉回旋区内煤粉燃烧行为的三维数值模拟研究[J].有色金属科学与工程, 2018, 9(4): 1-8.
[13]	HOU Q F, E D Y, KUANG S B, et al. DEM-based virtual experimental blast furnace: A quasi-steady state model[J]. Powder Technology, 2017, 314: 557-566.
[14]	E D Y. Validation of CFD-DEM model for iron ore reduction at particle level and parametric study[J]. Particuology, 2020, 51(4): 163-172.
[15]	HOU Q F, E D Y, KUANG S B, et al. A Transient discrete element method-based virtual experimental blast furnace model[J]. Steel Research International, 2020, 91(8): 1-11.
[16]	YAGI S, KUNII D. Studies on combustion of carbon particles in flames and fluidized beds[J]. Symposium (International) on Combustion, 1955, 5(1): 231-244.
[17]	TAKAHASHI R, YAGI J I, OMORI Y. Rate of reduction of iron oxide pellets with hydrogen[J]. Transactions of the Iron and Steel Institute of Japan, 1971, 57(10): 1597-1605.
[18]	MUCHI I. Mathematical model of blast furnace[J]. Transactions of the Iron and Steel Institute of Japan, 1967, 7(5): 223-237.
[19]	OMORI Y. Blast furnace phenomena and modelling[M]. Dordrecht: Springer Netherlands, 1987.
[20]	DONG X F, YU A B, CHEW S J, et al. Modeling of blast furnace with layered cohesive zone[J]. Metallurgical and Materials Transactions B, 2010, 41(2): 330-349.
[21]	KUANG S B, LI Z Y, YAN D L, et al. Numerical study of hot charge operation in ironmaking blast furnace[J]. Minerals Engineering, 2014, 63: 45-56.
[22]	WATAKABE S, MIYAGAWA K, MATSUZAKI S, et al. Operation trial of hydrogenous gas injection of COURSE50 project at an experimental blast furnace[J]. ISIJ International, 2013, 53(12): 2065-2071.
[23]	NISHIOKA K, UJISAWA Y, TONOMURA S, et al. Sustainable aspects of CO2 ultimate reduction in the steelmaking process (COURSE50 project), part 1: hydrogen reduction in the blast furnace[J]. Journal of Sustainable Metallurgy, 2016, 2(3): 200-208.

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