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A discrete element method-based approach to predict the breakage of coal

机译:一种基于分立的元素方法,预测煤的破损

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Pulverization is an essential pre-combustion technique employed for solid fuels, such as coal, to reduce particle sizes. Smaller particles ensure rapid and complete combustion, leading to low carbon emissions. Traditionally, the resulting particle size distributions from pulverizers have been determined by empirical or semi-empirical approaches that rely on extensive data gathered over several decades during operations or experiments, with limited predictive capabilities for new coals and processes. This work presents a Discrete Element Method (DEM)-based computational approach to model coal particle breakage with experimentally characterized coal physical properties. The effect of select operating parameters on the breakage behavior of coal particles is also examined. (C) 2017 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.
机译:粉碎是用于固体燃料(例如煤)的必要预燃烧技术,以减少粒径。 较小的颗粒确保快速且完全燃烧,导致低碳排放量。 传统上,由粉碎机的所得到的粒度分布通过经验或半实证方法确定,依赖于在运营或实验期间几十年收集的广泛数据,具有有限的新煤和过程的预测能力。 该工作介绍了基于实验表征煤炭物理性质的模拟煤颗粒破损的基于分立元素法(DEM)的计算方法。 还检查了选择操作参数对煤颗粒破损行为的影响。 (c)2017年日本粉末科技学会。 由elsevier b.v发表。和日本粉末科技会。 版权所有。

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