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铁矿粉颗粒特性对其烧结制粒性的影响
引用本文:吴胜利,王跃飞,朱 娟.铁矿粉颗粒特性对其烧结制粒性的影响[J].钢铁,2015,50(5):19-25.
作者姓名:吴胜利  王跃飞  朱 娟
作者单位:北京科技大学冶金与生态工程学院, 北京 100083
摘    要: 掌握铁矿粉的烧结制粒性是进行制粒工艺参数优化以保证混匀矿优良制粒效果的基础,确定铁矿粉颗粒特性对其制粒性的影响,是值得深入研究的工艺理论问题。通过微型圆筒制粒法研究铁矿粉的圆形度(Ψw)]、气孔率(P)]、润湿性(cosθ)]以及粒度分布对其制粒性的影响,在此基础上,采用回归方法预测混匀矿的制粒性。结果表明,铁矿粉的圆形度和气孔率对其制粒性有负面影响,而提高润湿性则有利于铁矿粉制粒;铁矿粉粗颗粒群的制粒性与其等效表面积呈反比,细颗粒群的制粒性与其黏附粉与中间粒级的比值(R<0.25 mm/0.25~1.00 mm)]呈正比;混匀矿的制粒性可以根据各组元的配比和颗粒特性进行有效预测。

关 键 词:烧结  铁矿粉  制粒  表面特性  粒度分布  
收稿时间:2014-06-03

Influence of particle characteristics on the granulation of iron ores in sintering process
WU Sheng-li,WANG Yue-fei,ZHU Juan.Influence of particle characteristics on the granulation of iron ores in sintering process[J].Iron & Steel,2015,50(5):19-25.
Authors:WU Sheng-li  WANG Yue-fei  ZHU Juan
Affiliation:School of Metallurgical and Ecological Engineering, University Science and Technology Beijing, Beijing 100083, China
Abstract:Learning granulating ability of iron ores is the base of subsequent parameter optimization aiming at efficient granulation when sintering blend was granulated. Clarifying the granulation of different iron ores and the influence of particle characteristics was a valuable subject that worth further research. Laboratory granulation test was conducted to study the effect of particle characteristics knowing as circularity, porosity, wettability and size distributions on granulation behaviour of iron ore. Granulation estimation of sintering blend by combination of coarse and fine particles was carried out on the base. Results gained are summarized as follows. Circularity and porosity had negative effect on granulation of iron ore whilecosθ]was positive. When iron ore that with complex size distributions was granulated, equivalent surface area was the main influencing factor for coarse particles larger than 1 mm that was negatively related, and the ratio of adhering fines to intermediate (R<0.25 mm/0.25~1.00 mm)] was the main factor for fine particles smaller than 1 mm that was positively related. Granulation ability of sintering blend was estimated by combining granulation of coarse and fine particles with and their proportioning, good verification was achieved with designed schemes, suggesting an effective predicting method for blend granulation.
Keywords:
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