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DEVELOPMENT OF WATER-BASED METHODS FOR DETERMINING COAL WASHABILITY DATA

机译:确定煤可洗性数据的水基方法的发展

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摘要

In Australia, coal washability analysis, which is used to obtain the cumulative yield-ash percent relationship-has traditionally been generated using the float-sink method AS4156.1-1994 [1]. This technique relies on heavy organic liquids to fractionate coal and mineral particles based on particle density. These organic liquids are considered problematic for health, safety, and environmental reasons. This paper examines water-based methods for attaining coal washability data for - 50 + 0.045 mm particles, covering a water fluidization method based on the Reflux Classifier, and two batch jigging devices. Data produced by the three methods are compared with results obtained using the float-sink method. The cumulative yield versus cumulative ash curves generated by all three methods were found to be in reasonable agreement with the data obtained using the float-sink method, but with a consistent discrepancy evident at relatively low ash levels. The discrepancy was attributed to the effects of dispersion, a phenomenon inherent in most particle separation processes. The fractionation achieved using the Reflux Classifier required further fractionation by size separation, while the two jigs generally required no fractionation by size provided the initial size range was not too broad. The Boner Jig, in which the vessel is moved up and down at a given frequency and amplitude, showed the best performance on the -16 + 0.25 mm size range. The Mintek Jig, in which the upward fluid flow is varied, showed the best performance on the -50+16mm size range. For the ultrafine particles, covering the size range-0.25+ 0.045 mm, the Reflux Classifier proved to be the ideal choice, achieving higher yields than multistage flotation. It was also demonstrated, using the data from the Reflux Classifier, that the "true" washability data could be deduced mathematically by combining a model of the separation process, with the normalized partition curve [2].
机译:在澳大利亚,传统上使用浮沉法AS4156.1-1994来进行煤可洗性分析,以获取累积的产量-灰分百分比关系[1]。该技术依靠重有机液体根据颗粒密度对煤和矿物颗粒进行分级。出于健康,安全和环境的原因,这些有机液体被认为是有问题的。本文研究了基于水的方法来获得-50 + 0.045 mm颗粒的洗煤性数据,该方法涵盖了基于Reflux分类器的水流化方法和两个分批夹具。将这三种方法产生的数据与使用浮沉法获得的结果进行比较。发现通过这三种方法生成的累积收率与累积灰分曲线与使用浮沉法获得的数据合理地吻合,但是在相对较低的灰分水平下存在一致的差异。差异归因于分散的影响,这是大多数颗粒分离过程固有的现象。使用回流分类器实现的分级分离需要通过尺寸分离进一步分级,而两个夹具通常不需要按尺寸分级分离,前提是初始尺寸范围不太宽。在容器以给定的频率和振幅上下移动的Boner跳汰机中,在-16 + 0.25 mm尺寸范围内显示出最佳性能。 Mintek跳汰机(其向上的流体流量有所变化)在-50 + 16mm尺寸范围内显示出最佳性能。对于覆盖尺寸范围-0.25+ 0.045 mm的超细颗粒,Reflux分级机被证明是理想的选择,比多级浮选具有更高的产量。通过使用回流分类器的数据还证明,通过将分离过程的模型与归一化的分配曲线[2]相结合,可以在数学上得出“真实的”可洗性数据。

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