Evaluation of sulfur distribution in the process of coal-based smelting reduction ironmaking

Guo, Zhancheng; Xie, Yuanyuan; Daguang, Wang

doi:10.1016/s0196-8904(96)00171-9

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“…It was also concluded that high pressure, temperature, & carbon content in liquid iron and high hydrogen content in coal were not favorable to obtain low sulphur gas. [13] M. Benvenuti studied the effect of Sn/W on metal & slag in Sn/W-rich hematite ore. It was verified that depending upon operating condition, tin can significantly partition at the rate of 50% of original content of ore into the metallic iron phase whereas tungsten was predominantly transferred into the silicate slag.…”

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confidence: 99%

Optimization of Smelting Process by Surface Response Modeling for Pig Iron Production

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2016

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Section: Introductionmentioning

confidence: 99%

Optimization of Smelting Process by Surface Response Modeling for Pig Iron Production

.¹

2016

IJRET

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Parametric Dimensional Analysis on a C-H2 Smelting Reduction Furnace with Double-Row Side Nozzles

2020

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Higher requirements for steel smelting technology have been put forward based on the increasing awareness of energy conservation and environmental protection. In the field of iron making, carbon reduction processes are often used. In this study, molten iron was smelted by designing a C-H2 smelting reduction method. Although previous researchers have studied this through a large number of physical and numerical simulations, they have not yet refined general laws from the perspective of dimensional analysis. In this paper, a double-row side blow hydraulics simulation was carried out in the C-H2 smelting reduction furnace, and an entire list of dimensionless groups of input and output parameters was proposed based on its hydraulics simulation data. The expressions between the dimensionless group of mixing time and dimensionless groups such as Capillary number (Ca) and Lagrange group (La1) were obtained by multiple linear regression based on the experimental research results and data analysis. By verifying the calculated and experimental values of the dimensionless group of mixing time, it can be seen that both have a good positive correlation. This study provides a better methodology for controlling key parameters and lays the foundation for the optimal design of the process parameters for the C-H2 smelting reduction furnace.

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Evaluation of sulfur distribution in the process of coal-based smelting reduction ironmaking

Cited by 2 publications

References 1 publication

Optimization of Smelting Process by Surface Response Modeling for Pig Iron Production

Optimization of Smelting Process by Surface Response Modeling for Pig Iron Production

Parametric Dimensional Analysis on a C-H2 Smelting Reduction Furnace with Double-Row Side Nozzles

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