从高炉糙面数字高程模型中提取负担颗粒轮廓线

IF 1.6 4区 材料科学 Q2 METALLURGY & METALLURGICAL ENGINEERING Isij International Pub Date : 2024-03-19 DOI:10.2355/isijinternational.isijint-2024-047
Jiuzhou Tian, Akira Tanaka, Di Gao, Qingwen Hou, Xianzhong Chen
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引用次数: 0

摘要

本文报告了高炉炉料表面颗粒特征研究的新进展。本文提出了一种从数字高程模型中提取炉料表面颗粒轮廓的算法。根据颗粒轮廓的提取结果,计算出焦炭和烧结矿料面颗粒大小的统计分布。将前一项研究获得的统计结果与本文的统计结果进行了比较。颗粒表面高度分布可根据负荷颗粒粒度分布近似得出。估算的颗粒表面高度分布的峰值位置与负载表面高度分布的峰值位置一致。
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Burden Particle Contour Extraction from Digital Elevation Model of Blast Furnace Rough Surface

This paper reports new research progress on characterizing the burden surface particles of the blast furnace. An algorithm is proposed to extract the contour of the particles on the burden surfaces from their digital elevation models. The statistical distributions of particle size corresponding to the coke and sintered ore burden surfaces are counted from the extraction results of the particle contours. The statistical results obtained in the former research are compared with those of here. The particle surface height distributions can be approximated based on the burden particle size distributions. The peak positions of the estimated particle surface height distribution are consistent with that of the burden surface height distribution.

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来源期刊
Isij International
Isij International 工程技术-冶金工程
CiteScore
3.40
自引率
16.70%
发文量
268
审稿时长
2.6 months
期刊介绍: The journal provides an international medium for the publication of fundamental and technological aspects of the properties, structure, characterization and modeling, processing, fabrication, and environmental issues of iron and steel, along with related engineering materials.
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