Identification of working conditions and prediction of FeO content in sintering process of iron ore fines

IF 2.5 2区 材料科学
Xiao-ming Li, Bao-rong Wang, Zhi-heng Yu, Xiang-dong Xing
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引用次数: 0

Abstract

The iron oxide (FeO) content had a significant impact on both the metallurgical properties of sintered ores and the economic indicators of the sintering process. Precisely predicting FeO content possessed substantial potential for enhancing the quality of sintered ore and optimizing the sintering process. A multi-model integrated prediction framework for FeO content during the iron ore sintering process was presented. By applying the affinity propagation clustering algorithm, different working conditions were efficiently classified and the support vector machine algorithm was utilized to identify these conditions. Comparison of several models under different working conditions was carried out. The regression prediction model characterized by high precision and robust stability was selected. The model was integrated into the comprehensive multi-model framework. The precision, reliability and credibility of the model were validated through actual production data, yielding an impressive accuracy of 94.57% and a minimal absolute error of 0.13 in FeO content prediction. The real-time prediction of FeO content provided excellent guidance for on-site sinter production.

Abstract Image

铁矿粉烧结过程中工作条件的确定和氧化铁含量的预测
氧化铁(FeO)含量对烧结矿的冶金特性和烧结工艺的经济指标都有重要影响。精确预测氧化铁含量对于提高烧结矿质量和优化烧结工艺具有巨大潜力。本文提出了铁矿石烧结过程中氧化铁含量的多模型综合预测框架。通过应用亲和传播聚类算法,对不同的工作条件进行了有效分类,并利用支持向量机算法来识别这些条件。对不同工况下的多个模型进行了比较。最终选择了具有高精度和鲁棒稳定性特点的回归预测模型。该模型被整合到综合多模型框架中。通过实际生产数据验证了模型的精确度、可靠性和可信度,结果表明氧化铁含量预测的精确度高达 94.57%,绝对误差最小为 0.13。氧化铁含量的实时预测为现场烧结生产提供了很好的指导。
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来源期刊
自引率
16.00%
发文量
161
审稿时长
2.8 months
期刊介绍: Publishes critically reviewed original research of archival significance Covers hydrometallurgy, pyrometallurgy, electrometallurgy, transport phenomena, process control, physical chemistry, solidification, mechanical working, solid state reactions, materials processing, and more Includes welding & joining, surface treatment, mathematical modeling, corrosion, wear and abrasion Journal of Iron and Steel Research International publishes original papers and occasional invited reviews on aspects of research and technology in the process metallurgy and metallic materials. Coverage emphasizes the relationships among the processing, structure and properties of metals, including advanced steel materials, superalloy, intermetallics, metallic functional materials, powder metallurgy, structural titanium alloy, composite steel materials, high entropy alloy, amorphous alloys, metallic nanomaterials, etc..
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