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弱黏煤配煤炼焦的实验研究 被引量:5

STUDY ON BLENDING COKING OF WEAKLY CAKING COAL
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摘要 根据煤岩配煤理论,分析以往生产配煤比方案、装炉煤和焦炭质量,结合弱黏煤和其他各煤种性质,制定了五种配煤比方案,利用40kg焦炉进行实验.通过分析各配煤比方案以及单种煤、装炉煤和焦炭结果,认为弱黏煤配比应控制在3%~5%之间,最后经4.3m顶装焦炉生产实践验证结果在正常生产的范围内. According to the coal blending theory, the previous production of coal blending ratio scheme, coal and coke quality were analyzed. Combined with weakly caking coal and other coal properties, five coal blending ratio scheme were made, tested with 40 kg coke oven. Through the analysis of the blending ratio scheme and single coal, coal and coke results, it was considered that weakly caking coal ratio should be controlled in 3%-5%, finally by 4.3 m top charging coke oven production practice, and it is thought that the result is correct.
作者 刘承东
出处 《煤炭转化》 CAS CSCD 北大核心 2013年第2期49-51,55,共4页 Coal Conversion
关键词 弱黏煤 煤岩配煤 40kg焦炉 配煤方案 weakly caking coal, coal blending theory, 40 kg coke oven, blending scheme
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  • 1谢海深,刘永新,孟军波,吕庆.焦炭质量预测模型的研究[J].煤炭转化,2006,29(3):54-57. 被引量:32
  • 2贺永德.现代煤化工手册[M].北京:化学工业出版社,2005.
  • 3Vapnik V, Vashist A. A New Learning Paradigm: Learning Using Privileged Information[J]. Neural Networks, 2009,22( 6): 544 -557.
  • 4Vapnik V N. An Overview of Statistical Learning Theory[J]. IEEE Transactions on Neural Networks, 1999,10(5) :988- 999.
  • 5李国正,王猛,曾华君,等译.支持向量机导论[M].北京:电子工业出版社,2005.
  • 6Zhang Qun,Wu Xinci,Feng Anzhu et al.Prediction of Coke Quality at Baosteel Fuel[J].Processing Technology,2004,86:1-11.
  • 7Diez M A,Alvarez R,Barriocanal C.Coal for Metallurgical Coke Production:Predictions of Coke Quality and Future Requirements for Cokemaking[J].International Journal of Coal Geology,2002,50:389-412.
  • 8和晓群,刘文卿.应用回归分析[M].北京:中国人民大学出版社,2001:42-46.
  • 9殷春根,骆仲泱,岑可法,姚强,周俊虎,倪明江.人工神经网络在配煤过程状态建模中的应用研究[J].工程热物理学报,1998,19(5):637-641. 被引量:10
  • 10孟庆波,刘洋,郭武卫,张东升,耿茜,黄胜林.用镜质组反射率分布控制水钢焦炭质量的研究[J].煤炭转化,2009,32(4):61-65. 被引量:6

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