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Optimization model coupling both chemical compositions and high-temperature characteristics of sintering materials for sintering burden
  • ISSN号:1004-7638
  • 期刊名称:《钢铁钒钛》
  • 时间:0
  • 分类:TQ531[化学工程—煤化学工程] U616.1[交通运输工程—船舶及航道工程;交通运输工程—船舶与海洋工程]
  • 作者机构:[1]School of Metallurgical and Ecological Engineering, University of Science and Technology Beijing, Beijing 100083, China, [2]State Key Laboratory of Advanced Metallurgy, University of Science and Technology Beijing, Beijing 100083, China
  • 相关基金:2013-07-10financially supported by the National Natural Science Foundation of China and Baosteel Group Co., Ltd., of Shanghai (U1260202); the Postdoctoral Science Foundation of China (2012T50045)
中文摘要:

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。

英文摘要:

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.

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期刊信息
  • 《钢铁钒钛》
  • 中国科技核心期刊
  • 主管单位:攀钢集团公司
  • 主办单位:攀钢集团攀枝花钢铁研究院有限公司
  • 主编:胡鸿飞
  • 地址:四川省攀枝花市东区桃源街90号攀枝花钢铁研究院有限公司
  • 邮编:617000
  • 邮箱:pgbjb@263.net
  • 电话:0812-3380539 3380763
  • 国际标准刊号:ISSN:1004-7638
  • 国内统一刊号:ISSN:51-1245/TF
  • 邮发代号:
  • 获奖情况:
  • 获中国钢铁工业协会"冶金优秀期刊奖”,获"中国科技核心期刊”称号
  • 国内外数据库收录:
  • 俄罗斯文摘杂志,美国化学文摘(网络版),波兰哥白尼索引,美国乌利希期刊指南,美国剑桥科学文摘,中国中国科技核心期刊,中国北大核心期刊(2008版),中国北大核心期刊(2011版),中国北大核心期刊(2014版),中国北大核心期刊(2000版)
  • 被引量:4010