ABSTRACT The determination of hot metal and slag composition is of utmost importance for the smooth operation of the blast furnace. In the present work, an attempt is made to bridge the gap between theoretical slag composition and actual slag chemistry by encapsulating the theoretical burden calculation with the flux optimization technique. The burden calculation model optimizes the amount of raw material wherein the amount of flux is optimized using matrix operations iteratively to attain the target chemical composition of the slag. Based on the target slag composition, the best combination of fluxes is predicted that closely meets the target slag compositions. The model suggests the optimum amount of fluxes and subsequently, the desired burden matrix setpoints are downloaded to the controller controlling the blast furnace charging system. It has been shown that the burden calculation model has resulted into reducing the variability in slag basicity, MgO and Al2O3 values.

中文翻译：

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优化高炉炉料原料熔剂计算改进配料实践

摘要 铁水和炉渣成分的测定对于高炉的平稳运行至关重要。在目前的工作中，试图通过用熔剂优化技术封装理论炉料计算来弥合理论炉渣成分和实际炉渣化学之间的差距。炉料计算模型优化原材料的量，其中使用矩阵运算迭代地优化熔剂的量以获得炉渣的目标化学成分。根据目标渣组成，预测出与目标渣组成非常接近的最佳熔剂组合。该模型会建议最佳通量，然后将所需的炉料矩阵设定值下载到控制高炉装料系统的控制器。