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指标可加性在焦炭质量预测中的应用研究 被引量:1

Application and study of index additivity in coke quality prediction
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摘要 以有关参考文献中的配煤炼焦实验数据为研究对象,分析其数据具有明显非线性交互作用的规律,得到的结论是焦炭的性质尤其是热性质,是可以通过单种焦的热性质加和进行预测的。同时文中提出了改进的焦炭性质加和预测方法,既保持了加和方法简捷明了的优点,又限定了该方法的适用范围,有利于在配煤炼焦生产实践中应用。 Coal blending and coke-making test data in relevant references were analyzed, the obtained conclusion is that coke property, especially for thermal property can be predicted by means of thermal property additivity of single kind of coke. At the same time, the improved coke property additivity predic- tion method was given, which not only might have simple and clear advantage of additivity law, also could limit the applicable range of this method, it is beneficial to the application of coal blending and cokemaking production practice.
机构地区 安徽工业大学
出处 《燃料与化工》 2009年第6期19-21,共3页 Fuel & Chemical Processes
关键词 焦炭质量预测 炼焦煤 配煤 加和方法 Coke quality prediction Coal for coke-making Coal blend Additivity law
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参考文献6

  • 1Yoshiaki MIURA. Recent Studies Coke and Their on the Properties Future Prospect of Blast Furnace[J]. Transactions ISIJ, 1982, 22:483- 494.
  • 2Heribert BERTLING.. Coal and Coke for Blast Furnaces[J]. ISIJ International, 1999, 39: 617-624.
  • 3M.A. Dl'ez, R. Alvarez, C. Barriocanal. Coal for metallurgical coke production: predictions of coke quality and future requirements for cokemaking[J]. International Journal of Coal Geology, 2002, 50:389- 412.
  • 4Richard Sakurovs. Direct evidence that the thermoplastic properties of blends are modified by interactions between the component coals [J]. Fuel, 1997, 76(7):615-621.
  • 5R. A' lvarez, M.A. Dl'ez, C. Barriocanal, E. D??az-Faes, J.L.G. Cimadevilla. An approach to blast furnace coke quality prediction[J]. Fuel, 2007, 86:2159-2166.
  • 6Qun Zhang, Xinei Wu, Anzhu Feng, et al. Prediction of coke quality at Baosteel[J]. Fuel Processing Technology, 2004, 86:1-11.

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