基于铁矿粉液相生成特性互补优化配料模型

doi:10.13228/j.boyuan.issn0449-749x.20140654

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摘要根据铁矿粉液相生成特性互补理论，以烧结矿的成本为目标，烧结矿的化学成分、混匀矿的液相生成特性、铁矿粉的库存量为限制条件，提出了基于铁矿粉液相生成特性互补的优化配料模型，首先对6种铁矿粉的化学成分、液相生成特性进行研究，然后基于研究的结果用此数学模型来求解，并对优化后的配料方案与当前生产方案进行烧结杯对比试验。结果表明：优化后的配料方案得到的烧结矿比目前配比下生产每吨烧结矿成本低12.35元，且烧结矿的冶金性能得到提高，其中，还原性提高2.86%、低温还原粉化率提高0.87%、软化区间变窄25 ℃，滴落区间变窄6 ℃，证明了基于铁矿粉液相生成特性互补优化配料模型的有效性。

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	姚朝权
	张建良
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	李新宇
	李克江

关键词 ：液相生成特性, 互补, 配料模型, 矿粉

Abstract：In order to reduce the cost of sinter production， an ore-blending optimization model was proposed based on the fact that the liquid phase formation characteristic of various types of iron ore fines was complementary to each other. Besides， the constraints in this model were the sinter chemical composition， liquid phase formation characteristics of blended iron ore fines， and the storage amount of iron ore fines. The first step was to determine the chemical composition as well as the liquid phase formation characteristics for all the selected six kinds of iron ore fines. Then simplex algorithm was employed to obtain the ore-blending optimization scheme. In addition， sintering cup experiments as both the optimization scheme and the current scheme were conducted for comparison. The results showed that compared with the current scheme， the scheme after optimization was capable of reducing the cost of sinter production by 12.35 RMB per ton sinter. Moreover， the metallurgical properties of the obtained sinter were improved. Among these properties， the reducibility was improved 2.86%； the reduction degradation index (RDI) was increased by 0.87%； the temperature range of cohesive zone was decreased by 25 oC and the temperature range of the dripping zone was decreased by 6 ℃. Therefore， the ore-blending model established was proved to be effective.

收稿日期: 2014-11-03 出版日期: 2015-06-11

PACS:

TF046

引用本文:

闫炳基，张建良，姚朝权，孙海宁，张亚鹏，李克江. 基于铁矿粉液相生成特性互补优化配料模型[J]. 钢铁, 2015, 50(6): 40-45. YAN Bing-ji，ZHANG Jian-liang，YAO Chao-quan，SUN Hai-ning，ZHANG Ya-peng，LI Ke-jiang. Ore-blending optimization model based on liquid phase formation characteristics of iron ore fines. Iron and Steel, 2015, 50(6): 40-45.

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