Comprehensive evaluation of sintering basic characteristics of iron ore based on grey relational analysis

被引:0
|
作者
Dong-hui Liu
Jun-hua Li
Yue Peng
Jian-liang Zhang
Guang-wei Wang
Xun Xue
机构
[1] Tsinghua University,School of Environment
[2] University of Science and Technology Beijing,School of Metallurgy and Ecological Engineering
[3] Beijing Shenwu Environment & Energy Technology Co.,undefined
[4] Ltd.,undefined
关键词
Iron ore; Basic characteristics; Sinter; Grey relational analysis; Iron ore purchasing; Ore proportioning optimization;
D O I
暂无
中图分类号
学科分类号
摘要
Sintering basic characteristics of fourteen iron ores were comprehensively evaluated using micro-sinter and grey relational analysis methods. The results show that magnetite has a low assimilability, high bonding phase strength, and high crystal strength. Hematite presents a good assimilability, while limonite exhibits a strong assimilability, but the bonding phase strength and crystal strength of these two kinds of iron ores are comparatively low. Great difference in liquid flowability exists for the same kind of iron ores. When the assimilation temperature of the sinter mixture is too high, limonite can be added; when the bonding phase strength or crystal strength of the sinter mixture is too low, magnetite can be added. The liquid fluidity of the sinter mixture can be adjusted according to the ratios of corresponding iron ores. Grey relational analysis is an effective method to evaluate the comprehensive sintering characteristics of iron ores, which can provide theoretical basis for the purchasing department of the steel enterprises.
引用
收藏
页码:691 / 696
页数:5
相关论文
共 50 条
  • [1] Comprehensive evaluation of sintering basic characteristics of iron ore based on grey relational analysis
    Liu, Dong-hui
    Li, Jun-hua
    Peng, Yue
    Zhang, Jian-liang
    Wang, Guang-wei
    Xue, Xun
    JOURNAL OF IRON AND STEEL RESEARCH INTERNATIONAL, 2019, 26 (07) : 691 - 696
  • [2] Study on sintering basic characteristics of iron ore
    Liu, Zhenlin
    Wen, Hongxia
    Feng, Gensheng
    Gao, Zhengkai
    Kang T'ieh/Iron and Steel (Peking), 2004, 39 (07):
  • [3] Optimization Method for Iron Ore Blending Based on the Sintering Basic Characteristics of Blended Ore
    Li, Ning
    Li, Jiaxin
    Long, Hongming
    Chun, Tiejun
    Mu, Gutian
    Yu, Zhengwei
    9TH INTERNATIONAL SYMPOSIUM ON HIGH-TEMPERATURE METALLURGICAL PROCESSING, 2018, : 455 - 464
  • [4] The Comprehensive Performance Evaluation to LSSC Based on Grey relational analysis
    Qiang, Yang
    Yi, Zhuang
    CURRENT TRENDS IN THE DEVELOPMENT OF INDUSTRY, PTS 1 AND 2, 2013, 785-786 : 1477 - 1479
  • [5] Comprehensive evaluation of forestry desertification based on grey relational analysis
    School of Information and Computer Engineering, Northeast Forestry University, Harbin, China
    Int. J. Smart Home, 7 (113-122):
  • [6] Evaluation on Undergraduate's Comprehensive Diathesis Based on Grey Relational Analysis
    Lu, Jimei
    PROCEEDINGS OF THE 2010 INTERNATIONAL CONFERENCE ON INFORMATION TECHNOLOGY AND SCIENTIFIC MANAGEMENT, VOLS 1-2, 2010, : 965 - 968
  • [7] Research on comprehensive evaluation of the entrepreneur quality based on grey relational analysis
    Xu, D., 1600, Asian Network for Scientific Information (13):
  • [8] The Effects of Different Zn Forms on Sintering Basic Characteristics of Iron Ore
    Ju, Jiantao
    Zu, Jian
    Xing, Xiangdong
    Yang, Lei
    Xiang, Xinru
    MATERIALS, 2024, 17 (12)
  • [9] Experimental study on basic sintering characteristics of Baogang iron ore powder
    School of Material and Metallurgy, University of Science and Technology Inner Mongolia, Baotou 014010, China
    不详
    不详
    Guocheng Gongcheng Xuebao, 2008, SUPPL. (198-204): : 198 - 204
  • [10] Comprehensive Evaluation System of Power Quality Compensation Based on Grey Relational Analysis
    Jiang, Li-Min
    Yan, Hua-Guang
    Meng, Jun-Xia
    Yin, Zhong-Dong
    Lin, Zhi
    PROCEEDINGS OF 2017 2ND INTERNATIONAL CONFERENCE ON POWER AND RENEWABLE ENERGY (ICPRE), 2017, : 617 - 621