我们开发了联合化学作文和 sintering 材料的高温度的特征的一个数学优化模型,指向最好的质量和最低费用。单一的算法被采用解决这个模型。四种进口的铁矿石,铁矿石集中的二种汉语,和二种流动被选择验证模型和算法。结果证实了在优化模型认为化学作文和铁的高温度的特征是矿石的可能性。这个模型提供一张技术路线图基于给定的原料的条件在泉华获得在最低费用和铁的等级之间的精确数学关联,它能提供引用为企业在 sintering 进程调整铁的等级。
We developed a mathematical optimization model coupling chemical compositions and high-temperature characteristics of sintering materials, targeting the best quality and lowest cost. The simplex algorithm was adopted to solve this model. Four kinds of imported iron ores, two kinds of Chinese iron ore concentrates, and two kinds of fluxes were selected to verify both the model and the algorithm. The results confirmed the possibility of considering both chemical compositions and high-temperature characteristics of iron ores in the optimization model. This model provides a technical roadmap to obtain a precise mathematical correlation between the lowest cost and the grade of iron in sinters based on the condition of given raw materials, which can provide a reference to adjust the grade of iron in the sintering process for enterprise.