Abstract

To substantiate the relationship between the quality of HBI and the material composition of pellets and the concentrate from which they were obtained, an array of data on the operation of the operating Hyl-3 metallization unit was used. The following are the main results of the work: (1) there is a pattern in the change in the quality of HBI and the performance of shaft furnaces, depending on the mineral composition of the original ore and concentrate, the effect of which is manifested even after granulation and heat treatment of pellets; (2) regularities of the influence of the material composition of the concentrate can be estimated numerically, and these digital models can become the basis for predictive control systems and equipment operation forecasting; (3) the direction of digitalization of pellets and HBI production is promising, associated with a comprehensive analysis of the operation of technological lines and consistent “characterization” of ore (by geochemical markers or mineral composition) based on equipment control models. The potential for improving the quality of HBI through the use of predictive models is estimated by the following values: by the degree of metallization—by 2% (abs.); by carbon content—by 0.1% (abs); for drum test +25 mm—by 1.7% (abs.).

中文翻译：

---

基于球团材料成分数据预测热压块铁 (HBI) 的质量

摘要

为了证实 HBI 的质量与颗粒的材料组成和获得它们的精矿之间的关系，使用了一系列关于运行中的 Hyl-3 金属化装置的操作数据。主要工作结果如下：（1）HBI质量和竖炉性能的变化存在规律性，取决于原矿和精矿的矿物成分，其效果体现即使在粒料的造粒和热处理之后；(2)可以通过数值方法估算精矿物质成分影响的规律，这些数字模型可以成为预测控制系统和设备运行预测的依据；(3)球团和HBI生产数字化方向大有可为，与基于设备控制模型的技术线运行和一致的矿石“表征”（通过地球化学标记或矿物成分）的综合分析相关联。通过使用预测模型提高 HBI 质量的潜力由以下值估算：金属化程度 - 2%（绝对值）；按碳含量——按 0.1% (abs)；对于鼓测试 +25 mm—1.7%（绝对值）。