ABSTRACT A mathematical model has been developed by coupling genetic algorithm (GA) with heat and material balance equations to estimate rate parameters and solid-phase evolution related to the reduction of iron ore-coal composite pellets in a multi-layer bed Rotary hearth Furnace (RHF). The present process involves treating iron ore-coal composite pellets in a crucible over the hearth in RHF. The various solid phases evolved at the end of the process are estimated experimentally, and are used in conjunction with the model to estimate rate parameters. The predicted apparent activation energy for the wustite reduction step is found to be lower than those of the reduction of higher oxides. The thermal efficiency is found to decrease significantly with an increase in the carbon content of the pellet. Thermal efficiency was also found to increase mildly up to three layers. Multilayer bed remains as a potential design parameter to increase thermal efficiency.

中文翻译：

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转底炉生产海绵铁的还原动力学模拟研究

摘要 通过将遗传算法 (GA) 与热量和物料平衡方程耦合，建立了一个数学模型，以估计与铁矿煤复合球团在多层床转底炉中还原相关的速率参数和固相演化（ RHF)。本方法包括在 RHF 炉床上方的坩埚中处理铁矿石-煤复合球团。在过程结束时形成的各种固相通过实验进行估计，并与模型结合使用以估计速率参数。发现维氏体还原步骤的预测表观活化能低于高级氧化物还原的表观活化能。发现热效率随着颗粒碳含量的增加而显着降低。还发现热效率温和增加至三层。多层床仍然是提高热效率的潜在设计参数。