Modeling and Simulation of Iron Ore Sintering Process with Consideration of Granule Growth

Zhang, Bin; Zhou, Jiemin; Li, Mao; Li, Yuan

doi:10.2355/isijinternational.isijint-2017-342

Cited by 11 publications

(6 citation statements)

References 22 publications

(16 reference statements)

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“…Taking the bed with melt fraction of 0.20-0.42 as qualified sinter, the calculated sinter yield is 60.0%. In the sintering pot test with the same coke content, 26) the sinter yield is 62.0%. The calculated sinter yield is in fairly good agreement with the measured result, and thus the sinter with melt fraction of 0.20-0.42 is taken as qualified product in the present work.…”

Section: Melt Fraction and Sinter Yieldmentioning

confidence: 98%

“…The reason is that the temperature of the air entering the combustion zone increases with the increase of convection heat transfer from solid particles, and the coke combustion rate also increases with the increase of solid temperature. Many studies have shown that the solid temperature distribution has a significant influence on the sinter strength and production yield, [25][26][27] so it is of great significance to analyze the characteristics of the temperature profile quantitatively.…”

Section: Model Validationmentioning

confidence: 99%

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Numerical Simulation on Influence of Coke Oven Gas Injection on Iron Ore Sintering

Shao

et al. 2020

ISIJ Int.

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Coke oven gas (COG) injection is believed to improve the quality and yield of sinter in iron ore sintering process. A mathematical model is developed to simulate the sintering process with COG injection, particularly focusing on predicting the quality and yield of sinter. The model is validated by comparing the model predictions with sintering pot test data. Numerical simulations are carried out to investigate the influences of location, quantity and covering area of COG injection on the sintering process. The results show that the location of COG injection has a little influence on its effectiveness on sintering, with that the sinter yield decreases slightly with the delay of COG injection while the mean melt quantity index (MQI) and cooling rate (CR) hardly change. The quantity of COG injection has a great influence on sintering. With a typical COG injection area of 40% and injection location of 60 s after ignition, the sinter yield increases by 33.3%, the mean MQI increases by 9.5% and the mean CR decreases by 37.6% when COG injection is 0.5%. The injection area of COG has some interesting influence on its effectiveness on sintering. Under the condition of 0.5% COG injection from 60 s after ignition, with the increase of injection area, the sinter yield increases prominently first and then decrease significantly, attaining its maximum at 40% of injection area. At the same time, the mean MQI and CR attain their extrema also at 40% of injection area.

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Section: Melt Fraction and Sinter Yieldmentioning

confidence: 98%

Section: Model Validationmentioning

confidence: 99%

Numerical Simulation on Influence of Coke Oven Gas Injection on Iron Ore Sintering

Shao

et al. 2020

ISIJ Int.

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“…The latent heat of melting (L m ) and solidification (L s ) is 0.254 (MJ kg −1 ) and 0.117(MJ kg −1 ), respectively [21]. Based on the melt fraction, the energy required for melting and release of energy during solidification is determined using Equation (15). The melting and solidification cause structural transformation in the sintering bed, which changes the heat transfer between flowing gas and agglomerated solid.…”

Section: Model Formulationmentioning

confidence: 99%

“…Further, the characteristics of coke combustion are expressed by the Duration Time of Coke Combustion (DTCZ) [12,13] and Combustion Zone Thickness (CZT) [14]. The temperature distribution of the sinter bed has a significant relation to the property of the sintered product represented by the Melting Zone Thickness (MZT) and Melt fraction [15,16].…”

Section: Introductionmentioning

confidence: 99%

Modelling the effect of sinter machine speed on bed temperature and coke combustion characteristics in iron ore sintering process

Seenivasan

Acharyulu

Sabariraj

et al. 2021

Ironmaking & Steelmaking

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In the present study, the influence of industrial sinter machine speed on the temperature distribution of the bed is evaluated using a one-dimensional transient mathematical model. The model is developed considering the law of conservation of mass, momentum, and energy of solid and gas phases. The prediction of bed temperature from the model is compared with the measured lab scale pot test and the exit gas temperature of an industrial sinter machine wind boxes shows a reliable agreement. The effect of machine speed on the temperature of the bed is quantified using Maximum Temperature, and the coke combustion characteristics are expressed in terms of Duration Time of Coke Combustion and Combustion Zone Thickness. Eventually, the Melting Zone Thickness and melt fraction of the bed is evaluated. This model result demonstrates that the increasing industrial sinter machine speed significantly affects the temperature distribution of the top layer of the sinter bed.

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“…Zhang et al [10] simulated the sintering process of iron ore by an unsteady two-dimensional mathematical model, which incorporated the significant physical phenomena and chemical reactions; sinter pot tests were also carried out. Wang et al [11] established a research route with sinter pot trials to characterize the evolution of the flame front and the phase chemistry along the bed height of sintering.…”

Section: Introductionmentioning

confidence: 99%

Thermodynamic modelling of the lead sintering roasting process

Rojas

Romero‐Serrano

Ramirez

et al. 2019

J min metall B Metall

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This work proposes a simulation strategy of the lead sintering process assuming that it takes place in a horizontally moving packed bed with transverse air flow. Some local chemical reactions occur at rates that depend on the temperature, and chemical species formed in one volume stage will flow for further reaction in other stages. To simulate this process, the model reactor is divided into a number of sequential stages. Condensed species flow horizontally, and gaseous species leave each stage vertically. The compositions and temperatures of the species are calculated considering that the local thermodynamic equilibrium is reached in each stage without external heat transfer, apart from the gas flow, before moving on to the next stage. The model calculates the temperature profile along the sintering machine, the compositions of the sinter and the exhaust gas. The results of the proposed model were compared with sinter pot experimental trials and a reasonably good agreement was obtained. This model can be used to optimize the operating conditions of the lead sintering process.

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Modeling and Simulation of Iron Ore Sintering Process with Consideration of Granule Growth

Cited by 11 publications

References 22 publications

Numerical Simulation on Influence of Coke Oven Gas Injection on Iron Ore Sintering

Numerical Simulation on Influence of Coke Oven Gas Injection on Iron Ore Sintering

Modelling the effect of sinter machine speed on bed temperature and coke combustion characteristics in iron ore sintering process

Thermodynamic modelling of the lead sintering roasting process

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