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首页> 外文期刊>Powder Technology: An International Journal on the Science and Technology of Wet and Dry Particulate Systems >Application of CPFD method in the simulation of vertical dense phase pneumatic conveying of pulverized coal
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Application of CPFD method in the simulation of vertical dense phase pneumatic conveying of pulverized coal

机译:CPFD法在煤粉垂直密孔气动输送仿真中的应用

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Flow stability is a key issue to be addressed by the development of dense phase pneumatic conveying. Flow patterns are closely related to flow stability. From the view of experimental materials, angle of repose, packing density and tapped density and flowability results show that the tested pulverized coal approximated a Geldart's group C powder with strong cohesion. This study contributes with a computational particle fluid dynamic (CPFD) simulation which is based on the numerical solution of continuity and momentum balance equations in a three-dimensional (3-D) horizontal pipeline. A novel correction model was developed, describing interaction among particles and between fluid and particles decided by the experiment mentioned before. The drag force model was done with the parameter sensitivity analysis. The errors of particle velocity profiles and pressure drop predicted by the CPFD approach were below 5% for the stable cases. What's more, the six different flow patterns were predicted by the CPFD approach embedded in the correction model, which was confirmed by electrical capacitance tomography (Ea) in our experimental facility. With the help of our correction model and some suggestions, the CPFD approach may help people to predict dense-phase pneumatic conveying of cohesive powders, such as coal. (C) 2019 Elsevier B.V. All rights reserved.
机译:流动稳定性是由致密相气动输送的发展解决的关键问题。流动模式与流动稳定性密切相关。从实验材料的视野,休息角,填充密度和触发密度和流动性结果表明,经过测试的粉煤煤近似,具有强大的内聚力的Geldart的C组C粉末。该研究有助于计算粒子流体动力学(CPFD)模拟,其基于三维(3-D)水平管道中的连续性和动量平衡方程的数值解。开发了一种新颖的校正模型,描述了粒子之间的相互作用,并且在流体和粒子之间由之前提到的实验决定。使用参数灵敏度分析完成拖动力模型。 CPFD方法预测的粒子速度谱和压降的误差低于稳定情况的5%。更重要的是,通过嵌入校正模型中的CPFD方法预测了六种不同的流动模式,该方法在我们的实验设施中通过电容断层扫描(EA)确认。在我们的校正模型和一些建议的帮助下,CPFD方法可以帮助人们预测粘性粉末等粘合粉的密集气动输送。 (c)2019年Elsevier B.V.保留所有权利。

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