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Characterising coals for coke production and assessing coke: predicting coke quality based on coal petrography, rheology and coke petrography

机译:表征用于焦炭生产的煤并评估焦炭:基于煤岩石学,流变学和焦炭岩石学预测焦炭质量

摘要

Given the high costs and general shortage of coking coals on the domestic andudinternational markets, and because the nature and qualities of many of the coking coalsudavailable on the markets are themselves mixed products, conventional mechanisms andudtried and trusted formulae for manufacturing coke products based on single coals ofudknown qualities can no longer apply. There is therefore an urgent need to develop moreudeffective techniques for evaluating and assessing the properties of individual coalsudrapidly and reliably and in a manner that could provide useful data for use in modellingudthe effect of new coal components in a coke blend. Towards this end, the current researchudhas sought to find more accurate coal characterisation techniques at laboratory scale thanudcurrently exists in industry at present.udSeventeen coking or blend coking coals from widely different sources were selected andudcokes were produced from them in as close to full scale conventional conditions asudpossible. Both coals and cokes were analysed using conventional chemical, physical,udpetrographic and rheological coking methods.udThe results indicated that, whilst all coals had acceptable chemical, physical andudpetrographic properties as evaluated on individual parameters thereby indicating theirudpotential values as prime coking coals, in fact the resultant cokes of some of the coals hadudproperties that disproved this assessment. These anomalies were investigated byudintegrating all characteristics and statistically evaluating them.udThe result [outcome] indicated that the series of coals under review fall naturally intoudthree distinct categories according to rank, as determined by the reflectance of vitrinite,udand that the coking coals in each rank category were further characterised by parametersudspecific to that level of rank. In this way more accurate predictions of coke quality wereudobtained than has been the case to date when using single set evaluations or previouslyuddevised formulae.udOn this basis it was concluded that, when selecting coals for coke making, it is essentialudto first establish the rank of the coal by vitrinite reflectance and then to apply cokeudevaluating parameters specific to that level of rank. The formulae developed for thisudpurpose held good for all coals tested, however, it remains to be seen whether this appliesuduniversally to an even wider source of coals.
机译:鉴于国内和国际市场上炼焦煤的高成本和普遍短缺,并且由于市场上可供应的许多炼焦煤的性质和质量本身就是混合产品,常规机制以及生产过程中受过推崇和信赖的公式基于 unknown品质的单一煤的焦炭产品将不再适用。因此,迫切需要开发更有效的技术来快速可靠地评估和评估单个煤的性能,并提供可用于模拟/分析焦炭混合物中新煤成分效果的有用数据。为此,目前的研究 ud试图在实验室规模上找到比目前工业上更精确的煤炭表征技术。 ud从广泛不同的来源中选择了17种焦化或混合焦煤,并从中生产出了焦炭。尽可能接近全尺寸常规条件。结果表明,尽管所有煤均具有可接受的化学,物理和铀谱性质,但按个别参数进行评估,结果表明它们的潜势值是主要的。焦煤,事实上,某些煤的焦炭具有 ud性质,从而证明了这一评估。通过综合所有特征并对其进行统计评估,对这些异常进行了调查。 ud结果[结果]表明,根据镜质体的反射率确定,所审查的煤系列根据等级自然分为 udy三个不同类别。每个等级类别的焦煤进一步通过该等级的特定参数来表征。通过这种方式,与迄今为止使用单组评估或以前的未设计公式时相比,获得了对焦炭质量的更准确的预测。 udd在此基础上得出的结论是,在选择用于炼焦的煤时,这是至关重要的 udto首先通过镜质体反射率确定煤的等级,然后应用特定于该等级的焦炭/去评估参数。为此目的开发的公式适用于所有测试的煤,但是,这是否适用于更广泛的煤炭来源还有待观察。

著录项

  • 作者

    Jordan Pierre;

  • 作者单位
  • 年度 2008
  • 总页数
  • 原文格式 PDF
  • 正文语种 en
  • 中图分类
  • 入库时间 2022-08-20 20:54:14

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