钢渣配入烧结的工艺参数试验及响应曲面法优化
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杨双平(1967一),男,教授,从事炼铁新技术方面的研究。

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TF046.4

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陕西省四主体一联合电炉工程平台创新项目(Z20200233


Process parameter test and response surface method optimization of steel slag blending into sintering
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    摘要:

    为了优化钢渣配入烧结的最佳工艺参数, 本文对钢渣及烧结原料进行性能分析, 通过烧结试验研究碱度、抽风负压、配碳量和钢渣配量对烧结参数与烧结矿质量的影响作用, 同时采用响应曲面法对最佳钢渣配比及烧结参数进行优化。结果表明: 在 Design Expert 模拟下, 通过方差分析得到对烧结矿冶金性能影响程度较大的4个因素, 其从大到小依次为烧结矿碱度、钢渣配比、烧结负压、燃料配比, 优化后的烧结参数: 碱度为1.85, 钢渣配比为7.5%, 烧结负压为8.9 kPa, 配碳量为3.8%; 在模拟最优条件下进行烧结矿质量检验, 其还原性为77.2%, 低温还原粉化性为73.4%, 转鼓强度为71.6%, 烧结矿冶金质量符合高炉冶炼的需求。

    Abstract:

    In order to optimize the optimal process parameters of steel slag blending into sintering, the properties of steel slag and sintering raw materials are analyzed; the effect of alkalinity, suction negative pressure, proportions of carbon and steel slag addition on sintering parameters and sinter quality is studied through sintering test, and the optimal steel slag ratio and sintering parameters are optimized by the response surface method. The results show that, under the Design Expert simulation, 4 factors with greater influence on the metallurgical performance of sinter are obtained through ANOVA, including sinter alkalinity, steel slag ratio, sintering negative pressure and fuel ratio from large to small, and the optimized sintering parameters are: alkalinity is 1.85, steel slag ratio is 7.5%, sintering negative pressure is 8.9 kPa, and carbon allocation is 3.8%. Under the simulated optimal conditions, the quality inspection of sinter is 77.2%, the low-temperature reduction chalkbality is 73.4%, the bowl strength is 71.6%, and the metallurgical quality of sinter meets the needs of blast furnace smelting.

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杨双平,王玉萍,高文彬,李江菡.钢渣配入烧结的工艺参数试验及响应曲面法优化[J].烧结球团,2022,47(4):25-32

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  • 最后修改日期:2021-12-21
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  • 在线发布日期: 2026-10-18
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