欢迎登录材料期刊网

材料期刊网

高级检索

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。

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. Be-sides,the constraints in this model were the sinter chemical composition,liquid phase formation characteristics of blend-ed 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 optimi-zation 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.

参考文献

[1] 聂俊,韦火明,苗会员.承钢炼铁厂降低烧结矿成本的探索[C].2012年全国炼铁生产技术会议暨炼铁学术年会论文集,2012:783-785.
[2] Li-Heng HSIEH .Effect of Raw Material Composition on the Sintering Properties[J].ISIJ International,2005(4):551-559.
[3] 李立芬,张淑会,吕庆,张娜辉.烧结配矿的研究现状及展望[J].钢铁研究学报,2013(09):1-5.
[4] 阎丽娟,吴胜利,尤艺,裴元东,张丽华.各种铁矿粉的同化性及其互补配矿方法[J].北京科技大学学报,2010(03):298-305.
[5] 苏步新,张建良,常健,王广伟,王春龙,车晓梅.铁矿粉的烧结特性及优化配矿试验研究[J].钢铁,2011(09):22-28.
[6] 施思强,李家新,龙红明,李杰民,肖俊军,左俊.马钢铁矿粉烧结优化配矿实验研究[J].安徽工业大学学报(自然科学版),2013(04):351-355.
[7] 王喆,张建良,左海滨,高冰,王润博,于韬.基于铁矿粉高温基础性能的烧结配料优化研究[J].烧结球团,2013(03):1-4.
[8] 范晓慧;姜涛;甘敏 等.一种烧结铁矿石液相生成特性的检测方法[P].中国,101666762A,2010-03-10.
[9] 范晓慧.铁矿烧结优化配矿原理与技术[M].北京:冶金工业出版社,2013
[10] 袁晓丽,范晓慧,万新,陈许玲,胡林,张明远,杜长坤.烧结优化配矿模型的设计与软件开发[J].中南大学学报(自然科学版),2009(06):1476-1481.
[11] Kawaguchi T;Sato S;Takata K .Development and application of an integrated simulation model for iron ore sintering[J].Journal of the Iron and Steel Institute of Japan(in Japanese),1987,73(15):1940.
[12] 吴胜利,戴宇明,Dauter Oliveira,裴元东,徐健,韩宏亮.基于铁矿粉高温特性互补的烧结优化配矿[J].北京科技大学学报,2010(06):719-724.
[13] Engelbrecht A P.计算群体智能基础[M].北京:清华大学出版社,2009
上一张 下一张
上一张 下一张
计量
  • 下载量()
  • 访问量()
文章评分
  • 您的评分:
  • 1
    0%
  • 2
    0%
  • 3
    0%
  • 4
    0%
  • 5
    0%