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投稿时间:2022-03-28 修订日期:2022-04-10 录用日期:2022-04-13 网络发布日期:2022-08-11
投稿时间:2022-03-28 修订日期:2022-04-10 录用日期:2022-04-13 网络发布日期:2022-08-11
中文摘要: 利用锯末为焙烧高炉灰提供还原气氛,回收高炉灰中的铁,在绿色节能的同时实现高炉灰资源化利用。通过响应曲面法设计分析了焙烧温度、焙烧时间和还原剂配比对磁选精矿中铁品位、回收率的影响,并建立自变量与响应值间的数学预测模型,确定了磁化焙烧回收高炉灰中铁的最优工艺条件:焙烧温度686.65 ℃、焙烧时间25.03 min、还原剂配比1︰8.6,在此条件下得到预测磁性铁品位68.325%、回收率90.945%,试验验证值与模型预测值相差在0.3%以内,表明该模型优化结果可靠,可应用于锯末磁化焙烧高炉灰提铁过程。
Abstract:Sawdust is used to provide a reducing atmosphere for roasted blast furnace dust and to recover iron from it, realizing the resource utilization of blast furnace dust while saving energy in a green way. Based on the single-factor test, effects of roasting temperature, roasting time, and reducing agent ratio on iron grade and iron recovery of magnetic separation recovered concentrate were analyzed by response surface method design, and a mathematical prediction model between the independent variables and response values was established. The optimal process conditions for recovering iron from blast furnace dust by magnetization roasting were determined according to the model: roasting temperature of 686.65 ℃, roasting time of 25.03 min, and reducing agent ratio of 1︰8.6. The predicted magnetic iron grade of 68.325% and recovery rate of 90.945% is obtained at this condition, and the difference between experimental verification value and predicted value of the model is within 0.3%, indicating that the model optimization results are reliable. It can be applied to iron extraction process of blast furnace ash by magnetizing roasting of sawdust.
keywords: blast furnace dust sawdust response surface methodology interaction magnetization roasting
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基金项目:国际海底区域资源研究开发“十三五”项目(JS-KTHT-2019-01);国家高技术研究发展计划项目(2012AA062401)
| 作者 | 单位 | |
| 张茜 | 北京科技大学土木与资源工程学院 | ancegemo@163.com |
| 冯雅丽* | 北京科技大学土木与资源工程学院 | ylfeng126@126.com |
| 李浩然 | 中国科学院过程工程研究所生化工程国家重点实验室 |
引用文本:
张茜,冯雅丽,李浩然.响应曲面法优化锯末磁化还原高炉灰工艺研究[J].有色金属(冶炼部分),2022(9):117-124.
ZHANG Qian,FENG Ya-li,LI Hao-ran.Optimization of Sawdust Magnetization Reduction of Blast Furnace Dust by Response Surface Methodology[J].Nonferrous Metals (Extractive Metallurgy),2022(9):117-124.
张茜,冯雅丽,李浩然.响应曲面法优化锯末磁化还原高炉灰工艺研究[J].有色金属(冶炼部分),2022(9):117-124.
ZHANG Qian,FENG Ya-li,LI Hao-ran.Optimization of Sawdust Magnetization Reduction of Blast Furnace Dust by Response Surface Methodology[J].Nonferrous Metals (Extractive Metallurgy),2022(9):117-124.

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