东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2017, Vol. 38 ›› Issue (12): 1726-1730.DOI: 10.12068/j.issn.1005-3026.2017.12.012

• 材料与冶金 • 上一篇    下一篇

新疆库拜煤改质炼焦及冷态强度预测

朱子宗， 谢杨洋， 武强， 石国京   

  1. (重庆大学 材料科学与工程学院， 重庆400044)
  • 收稿日期:2016-06-20 修回日期:2016-06-20 出版日期:2017-12-15 发布日期:2018-01-02
  • 通讯作者: 朱子宗
  • 作者简介:朱子宗(1966- )，男，河南淮阳人，重庆大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(51044005).

Coke-Making with Modified Xinjiang Kubai Coals and Prediction the Cold Strength of Coke

ZHU Zi-zong， XIE Yang-yang， WU Qiang， SHI Guo-jing   

  1. College of Materials Science and Engineering， Chongqing University， Chongqing 400044， China.
  • Received:2016-06-20 Revised:2016-06-20 Online:2017-12-15 Published:2018-01-02
  • Contact: ZHU Zi-zong
  • About author:-
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摘要： 新疆库拜煤反应活性高，炼制的焦炭性能差，难以满足大型高炉冶炼需求.为降低焦炭反应性(CRI)，提高反应后强度(CSR)，进行了系列煤粉改质和炼焦研究.通过热重实验分析配合煤改性机理，发现煤粉改质剂主要作用于胶质体形成及半焦缩聚阶段，通过傅里叶红外光谱分析发现库拜QM含氧官能团主要为羟基和烃基醚，羧基几乎没有.以配合煤挥发分(Vdaf)，黏结指数(G)等为自变量，以焦炭抗碎强度(M25)和耐磨强度(M10)为因变量，用统计软件SPSS17.0分别对煤粉改质炼焦的结果进行多元线性回归分析，建立了焦炭冷态强度的预测模型，从而在热态性能和冷态强度两方面灵活地指导配煤和炼焦.

关键词: 煤粉, 改质, 焦炭, 冷态强度, 预测模型

Abstract: The cokes with Xinjiang coking coals present high activity and poor quality， which can not be used in blast furnace. In order to decrease the coke reactivity index (CRI) and increase the coke strength after reaction (CSR)， a series of coke-making experiments using modified Xinjiang coals were carried out. By the thermo-gravimetric analysis on the blending coals， it is found that the modifying additive is primarily acted on the process of the formation of colloids and the polycondensation of semi-coke. The results show that the oxygenic groups of QM are mainly hydroxyl and alkylether determined by FTIR， while the carboxyl is rarely found. Based on the multiple linear regression analysis by SPSS17.0 software， a prediction model of the cold strength of coke was established， which used the parameters such as the volatile matter (Vdaf) and caking index (G) as independent variable and used the crushing strength of coke (M25) and abrasive resistance (M10) as dependent variable. Hence， thermal properties and cold strength of coke can be controlled flexibly by this model.

Key words: coal, modification, coke, cold strength, prediction model

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