Application of High‐ and Low‐Reactivity Cokes in Hydrogen‐Rich Blast Furnaces.
Published In: Steel Research International, 2025, v. 96, n. 1. P. 1 1 of 3
Database: Academic Search Ultimate 2 of 3
Authored By: Li, Chao; Ma, Xingye; Bai, Jinfeng; Wang, Gang; Liu, Yang; Sui, Yuesi; Zhong, Xiangyun; Xu, Guozhong; Wu, Shiyong 3 of 3
Abstract
The effects of two cokes with different reactivity on the lump ore's metallurgical properties and coke's solution loss are investigated under the high‐temperature load reduction. The work used an improved test device for softening‐melting and dropping characteristics of iron ores in both CO2 and CO2H2O atmospheres. The deterioration behavior of highly reactive cokes is expounded under hydrogen‐rich conditions. High‐reactivity cokes under hydrogen‐rich conditions are more favorable for enhancing the breathability of charge and the penetration of the coke layer. However, it increased the thickness of the softening zone. High‐reactivity cokes had obvious internal and external reaction gradients. The solution loss reaction mostly occurred on the surface, with selectivity. The longitudinal stacking height, layer number, and order degree in the carbon structure decreases after the reaction. The carbon‐structure difference weakens between the shell and core. The enhancement of coke's reactivity, however, results in the significant loss of coke powders on its surface. Unreduced FeO and refractory Fe2SiO4 are more likely to appear in the droplets, which is not conducive to the reduction of Fe and the generation of slag crust in the furnace. The difficulty in separating lump ores and cokes is aggravated, and more iron‐containing charge remain in the furnace. [ABSTRACT FROM AUTHOR]
Additional Information
- Source:Steel Research International. 2025/01, Vol. 96, Issue 1, p1
- Document Type:Article
- Subject Area:History
- Publication Date:2025
- ISSN:1611-3683
- DOI:10.1002/srin.202400445
- Accession Number:181948316
- Copyright Statement:Copyright of Steel Research International is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Looking to go deeper into this topic? Look for more articles on EBSCOhost.