Abstract

Pre-reduction of manganese ore has a direct impact on energy savings for the subsequent smelting process. To this end, knowledge of the kinetics of the pre-reduction of manganese ore is useful in controlling the process parameters for the subsequent smelting process. In this study, a kinetic model that considers the effects of temperature, ore size, and CO content during the reduction process is developed. The model was performed using an unreacted core model using similarity to iron ore. This modified unreacted core model can be used to predict the change in the state of manganese ore over time, and this can predict the change in the reduction rate depending on the process temperature, CO gas change and ore size. The rate constants of the chemical reaction of manganese ore are obtained experimentally. The results of the developed prediction model show good agreement with the experimental data and the reduction degree of manganese ore is found to increase with increasing temperature and CO content in the gas.

Graphic Abstract

中文翻译：

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CO气体还原锰矿的改进未反应岩心模型

摘要

锰矿的预还原对后续冶炼过程的节能有直接影响。为此，锰矿石预还原动力学的知识有助于控制后续冶炼过程的工艺参数。在这项研究中，开发了一个动力学模型，该模型考虑了还原过程中温度、矿石尺寸和 CO 含量的影响。该模型是使用与铁矿石相似的未反应岩心模型进行的。这种改进的未反应岩心模型可用于预测锰矿石状态随时间的变化，这可以根据工艺温度、CO 气体变化和矿石尺寸预测还原率的变化。锰矿化学反应的速率常数是通过实验得到的。

图形摘要