Abstract—

The coking behavior of coal is an important facet in utilization of coal in metallurgy and in other industries. The carbonization behavior of coal mainly depends on coal rank, petrographic composition, ultimate composition and rheology of coal. Coal petrography has become very useful technique for establishment between formulation of coal blend composition and coke quality prediction. It is generally established that blend containing optimal reactives produces the coke of maximum strength. The coking properties of coal not depend only on the macerals composition, but also on the way in which the macerals are distributed among one another, forming preferential associations called microlithotypes. The measurements of relative proportion of microlithotypes are called microlithotype analysis. In present work, distribution of macerals (microlithotype) in coal samples were studied and correlated with the coke quality. Beneficiation by wet method were carried out (only indigenous coal) by washing media of specific gravity 1.30 to 1.40 to achieve <10% ash level. Coal microlithotypes plays an important role on coke quality. Bi-maceral and tri-macerals microlithotype distribution (vitrinertite and duroclarite and clarodurite) in coal samples act as a vital role for coke quality. Inter-growth of internite within vitrinite macerals has also significant role on coke quality. Therefore, the combined analysis of maceral and microlithotype distribution is important for coke quality. Distribution of bi-maceral and tri- maceral in coal improved coke quality (M₄₀ and M₁₀ indices). The microlithotype distribution measurement by petrography analysis gave considerable correlations with M₄₀, M₁₀, Coke Reactivity Index (CRI) and Coke Strength after Reaction (CSR) parameters. It gave details the adaptability of Indian coke quality in favor of macerals assemblages in coal.

中文翻译：

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微石型显微分布对焦炭质量的影响

摘要—

煤炭的焦化行为是冶金和其他行业中煤炭利用的重要方面。煤的碳化行为主要取决于煤的等级，岩石学组成，最终组成和流变性。煤岩学已成为建立煤掺合物组成和焦炭质量预测之间非常有用的技术。通常确定含有最佳反应物的共混物产生最大强度的焦炭。煤的焦化特性不仅取决于微石的组成，还取决于微石之间的分布方式，形成了称为微石型的优先结合。微石型相对比例的测量称为微石型分析。在目前的工作中，研究了煤样品中微晶（微石型）的分布，并将其与焦炭质量相关联。通过洗涤比重为1.30至1.40的介质（小于10％的灰分）进行湿法选矿（仅适用于本机煤）。煤微石型对焦炭质量起重要作用。煤样品中的双金属和三金属微石型分布（玻璃锰铁矿，硬铁锰矿和球铁矿）对焦炭质量起着至关重要的作用。镜质矿物中内生矿物的互生对焦炭质量也具有重要作用。因此，结合显微和微石型分布分析对于焦炭质量很重要。煤中双-和三-的分布改善了焦炭质量（M 通过洗涤比重为1.30至1.40的介质（小于10％的灰分）进行湿法选矿（仅适用于本机煤）。煤微石型对焦炭质量起重要作用。煤样品中的双金属和三金属微石型分布（玻璃锰铁矿，硬铁锰矿和球铁矿）对焦炭质量起着至关重要的作用。镜质矿物中内生矿物的互生对焦炭质量也具有重要作用。因此，结合显微和微石型分布分析对于焦炭质量很重要。煤中双-和三-的分布改善了焦炭质量（M 通过洗涤比重为1.30至1.40的介质（小于10％的灰分）进行湿法选矿（仅适用于本机煤）。煤微石型对焦炭质量起重要作用。煤样品中的双金属和三金属微石型分布（玻璃锰铁矿，硬铁锰矿和球铁矿）对焦炭质量起着至关重要的作用。镜质矿物中内生矿物的互生对焦炭质量也具有重要作用。因此，结合显微和微石型分布分析对于焦炭质量很重要。煤中双-和三-的分布改善了焦炭质量（M 煤样品中的双金属和三金属微石型分布（玻璃锰铁矿，硬铁锰矿和球铁矿）对焦炭质量起着至关重要的作用。镜质矿物中内生矿物的互生对焦炭质量也具有重要作用。因此，结合显微和微石型分布分析对于焦炭质量很重要。煤中双-和三-的分布改善了焦炭质量（M 煤样品中的双金属和三金属微石型分布（玻璃锰铁矿，硬铁锰矿和球铁矿）对焦炭质量起着至关重要的作用。镜质矿物中内生矿物的互生对焦炭质量也具有重要作用。因此，结合显微和微石型分布分析对于焦炭质量很重要。煤中双-和三-的分布改善了焦炭质量（M₄₀和M ₁₀指数）。通过岩相分析的微石版分布测量结果与M ₄₀，M ₁₀，焦炭反应性指数（CRI）和反应后焦炭强度（CSR）参数具有相当的相关性。它详细说明了印度焦炭质量对煤中的Macerals组合的适应性。