Mathematical modeling and distribution characteristics evaluation of fuel particles in iron ore sintering process

Dai, Fanglei; Huang, Xiaoxian; Fan, Xiaohui; Chen, Xuling; Gan, Min; Ji, Zhiyun; Sun, Zengqing; Zhao, Gaige

doi:10.1016/j.apt.2022.103688

Cited by 4 publications

(3 citation statements)

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“…The initial fuel distribution in the material layer can be obtained based on a model from a previous study [21]. Based on the one-dimensional particle number balance equation, it is possible to predict the characteristics of the quasi-particles after granulation through the physical properties of the raw materials, the amount of water, and the ore blending scheme.…”

Section: Granulation Model For the Sinter Mixturementioning

confidence: 99%

“…Based on the particle size distribution characteristics of the granules in the vertical direction of the material layer, combined with the fuel distribution of granules, the coke breeze content for each unit of the material layer can be obtained as shown in Equation ( 3), and a more detailed description of the equation is provided [21].…”

Section: Granulation Model For the Sinter Mixturementioning

confidence: 99%

“…If we consider a fuel segregation state in the material layer in the numerical model, it requires giving the fuel distribution priority in the granules. Then, according to the ore blending structure and segregation conditions, the fuel distribution in the sinter layer is obtained from the model used in the previous study [21]. Furthermore, the fuel distribution is optimized through the numerical model and algorithms.…”

Section: Introductionmentioning

confidence: 99%

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Fuel-Appropriate Distribution of the Material Layer Based on Numerical Model of Sintering with Particle Swarm Optimization Algorithm

et al. 2023

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An optimization model for the fuel distribution of the material layer with mechanism models and algorithms is presented, which can reduce the fuel ratio of ore blending and enhance the fuel content in the upper layer to improve the homogeneity of the sinter quality. The actual fuel distribution of the material layer is analyzed through the granulation model and the theoretical fuel distribution for each unit is obtained using the numerical model. Then, the fuel particle size composition and segregation characteristics are optimized via the particle swarm optimization algorithm to bring fuel distribution close to the theoretical value, with a sum of their absolute values of 0.025. In comparison with the initial conditions, the fuel particle size composition conforms to a normal distribution with increased coarse particles, and the deviation of the granules from the vertical direction of the sinter layer decreases. Through this optimization method, the sinter bed with the ideal thermal profile can be achieved, namely uniform sintering along with a reduced coke ratio.

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Section: Granulation Model For the Sinter Mixturementioning

confidence: 99%

Section: Granulation Model For the Sinter Mixturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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