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A Mathematical Model for Carbothermic Reduction of Dust-Carbon Composite Agglomerates

机译:粉尘-碳复合团聚体碳热还原的数学模型

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Recycling iron–bearing dust from steel mills has gained a considerable attention in the past two decades to recover the valuable metals in dust while improving the sustainability of steel production. As a method for extracting the metals from dust, the reduction of dust–carbon composite agglomerates using a rotary hearth furnace (RHF) has been practiced in the steel industry. The use of low–grade carbonaceous reductants, such as low–rank coal and waste plastic, is of steelmakers’ interest to further enhance the waste recycling using the RHF process. However, applying these materials as reductants has proven to be a challenging task since the impact of the released volatile gas from such reductants on reduction reactions is not predictable. In addition, the reduction kinetics of dust pellet in RHF is more complicated than the reaction behaviour of sintered ore in blast furnace due to the higher furnace temperature, faster reduction and rapid gas evolution inside the agglomerate. To predict the reaction behaviour of the dust–carbon composite in RHF, a mathematical model was developed. The model takes into consideration heat and mass transfer as well as the reduction reaction of iron and zinc oxides, gasification of carbon and release of volatiles. The simulated behaviour of a dust pellet by the proposed model provides beneficial information to promote recycling an expanded range of waste materials in the RHF process. The modelling approach and calculation results are discussed in the present paper.
机译:在过去的二十年中,从钢厂回收含铁粉尘受到了相当大的关注,以回收粉尘中的贵重金属,同时提高钢铁生产的可持续性。作为一种从灰尘中提取金属的方法,钢铁行业已在实践中使用旋转式炉底炉(RHF)减少粉尘-碳复合材料团块。钢铁制造商有兴趣使用低级含碳还原剂,例如低等级煤和废塑料,以进一步加强使用RHF工艺的废物回收利用。然而,将这些材料用作还原剂已被证明是一项艰巨的任务,因为从这种还原剂释放的挥发性气体对还原反应的影响是不可预测的。此外,由于高炉温度,更快的还原速度和团块内部气体的快速释放,RHF中粉尘颗粒的还原动力学比高炉中烧结矿的反应行为更为复杂。为了预测粉尘-碳复合材料在RHF中的反应行为,建立了数学模型。该模型考虑了传热和传质以及铁和锌氧化物的还原反应,碳的气化和挥发物的释放。所提出的模型对粉尘颗粒的模拟行为提供了有益的信息,以促进在RHF工艺中回收更多种类的废料。本文讨论了建模方法和计算结果。

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