首页> 外文期刊>American Journal of Applied Chemistry >Application of Coal Rock Analysis in Coking Productions
【24h】

Application of Coal Rock Analysis in Coking Productions

机译:煤岩分析在焦化生产中的应用

获取原文
       

摘要

In the coking industry, the variety and quality of single coal is the basis for influencing the quality of coal blending and ultimately the quality of coke products. Nowadays, some coking plants generally use industrial analysis methods to determine the quality of coal varieties and coal blending. However, using industrial analysis method alone cannot ensure that the variety quality identification of single coal and mixed coal is correct and reliable, therefore, there is no guarantee of coking coal blending and the final coking quality. Identifying coal by means of coal-rock analysis and distinguishing mixed coal can make up for the deficiency of industrial analysis in testing coal quality and types of coal. At the same time, according to the reflectivity of the vitrinite of coal can be additive, using synthetic coal reflectance distribution map to guide coal coking, can predict, improve and raise the quality of coke products. In this paper, some examples are given to identify coal type and distinguish mixed coal by reflectivity of coal vitrinite combined with industrial analysis method. At the same time, the method and example of applying synthetic coal reflectivity distribution map to guide coking coal to improve coke quality are also given. Finally noted, when using coal-rock method to guide coking and predict coke quality, it must be tested no arbitrary application.
机译:在炼焦行业中,单一煤的种类和质量是影响混煤质量以及最终影响焦炭产品质量的基础。如今,一些炼焦厂通常使用工业分析方法来确定煤炭品种和配煤的质量。但是,仅使用工业分析方法不能确保单一煤和混合煤的品种质量鉴定正确,可靠,因此不能保证焦煤掺混和最终焦化质量。通过煤岩分析识别煤和区分混合煤可以弥补工业分析在检验煤质和煤种方面的不足。同时,可以根据煤的镜质的反射率进行累加,利用合成煤的反射率分布图来指导炼焦,可以预测,提高和提高焦炭产品的质量。文中给出了一些实例,通过镜质体煤的反射率结合工业分析方法来识别煤类型和区分混合煤。同时给出了应用合成煤反射率分布图指导焦煤提高焦炭质量的方法和实例。最后要指出的是,当使用煤岩方法指导焦化和预测焦炭质量时,必须进行任意应用测试。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号