摘要
针对褐铁矿磁化焙烧过程中,单颗粒氧化铁还原机理认识难的复杂问题,建立了基于多孔介质模型的一维非稳态还原模型。通过数值计算,开展了不同温度、CO浓度及不同初始孔隙率影响下的褐铁矿还原度的研究。研究表明,随机孔模型能很好地应用于还原模型,多孔介质孔道内气体传输特性对反应有一定的影响,粒径为100μm的颗粒在800℃下完全还原仅需18 s左右。
One-dimensional unstable reduction model based on porous medium model was developed aiming at the complex problems in acquaintance of single ferric oxide particle during magnetization roasting of limonite. By numerical calculation, the conversion degree of limonite was studied at different temperature, various CO concentration and different initial porosity. The research results showed that random pore model can be applied to reduction model well, and transmission characteristics of gas within the porous media channels have some degree of impacts on reaction. It takes only about 18 s for particles of 100 μm in diameter to complete reduction course at 800 ℃.
出处
《金属矿山》
CAS
北大核心
2014年第2期79-82,共4页
Metal Mine
基金
内蒙古科技厅创新团队项目(编号:83101004)
关键词
单颗粒褐铁矿
随机孔模型
还原模型
数值模拟
Single limonite particle, Random pore model, Reduction model, Numerical simulation
