Research on the Quality Improvement and Consumption Reduction of Iron Ore Agglomeration Based on Optimization

Author:

Zhou Mingshun12,Zhao Desheng3,Zhang Jiangning4,Yang Guang4,Hou Enjian4,Liu Mingxu5,Zhang Hui12,Jiang Xin67,Fan Kai6,Shen Fengman67

Affiliation:

1. State Key Laboratory of Metal Material for Marine Equipment and Application, Anshan 114009, China

2. Iron and Steel Research Institute of Angang Iron and Steel Group Corporation, Anshan 114009, China

3. Iron-Making Plant, Anshan Iron and Steel Group Co., Ltd., Anshan 114000, China

4. East Anshan Sintering Plant, Anshan Iron and Steel Group Co., Ltd., Anshan 114006, China

5. Plate Research and Development Institute of Benxi Steel Co., Ltd., Benxi 117000, China

6. School of Metallurgy, Northeastern University, Shenyang 110819, China

7. Key Laboratory for Ecological Metallurgy of Multimetallic Mineral (Ministry of Education), Northeastern University, Shenyang 110819, China

Abstract

In order to increase agglomeration production and improve its quality while reducing energy consumption, a new intelligent blending method has been established at Ansteel to optimize its sinter blends. The statistical model of the ore blending results shows that (1) a blending ratio of 47.2% Ore A and 52.8% Ore C corresponded to the best sinter yield of 72.44%. (2) From the viewpoint of sinter reducibility, sinter basicity should not be less than 1.98 when the proportion of Ore A in the blend is more than 35%. Due to the low mixing efficiency of disc pelletizers, Ansteel has therefore gone through a massive technical transformation at Sinter Plant 3 to replace its 16 existing disc pelletizers with one drum granulator. Since the installation of the drum granulator, the standard deviation has decreased from 1.517 to 0.7332 for total Fe (T.Fe) and from 0.146 to 0.0956 for basicity. In the case of the drum granulator, the standard deviation for sinter T.Fe and basicity were 0.6926 and 0.05449, respectively, as compared to 0.8902 and 0.2033 for the disc pelletizers. In addition, a single lattice method is proposed to optimize the particle-size distribution of the coke breeze to further improve sinter quality and reduce fuel consumption. The lattice method indicated that the optimum coke breeze to achieve maximum sinter tumble strength should consist of approximately 57.20%: −1 mm, 25.63%: 1–3 mm, 11.17%: 3–5 mm, and 6.00%: >5 mm particles. Given the international trend of increasing bed depth, Ansteel has successfully achieved a bed height of 1050 mm or more under its blend conditions, which typically contain 75% concentrates. Finally, some new iron ore agglomerations research is discussed.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Xingliao Talent Project

Publisher

MDPI AG

Subject

General Materials Science,Metals and Alloys

Reference28 articles.

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3