首页> 外文期刊>Chemical engineering journal >Numerical study of particle segregation in a coal beneficiation fluidized bed by a TFM-DEM hybrid model: Influence of coal particle size and density
【24h】

Numerical study of particle segregation in a coal beneficiation fluidized bed by a TFM-DEM hybrid model: Influence of coal particle size and density

机译:用TFM-DEM混合模型对选矿流化床中颗粒偏析的数值研究:煤粒径和密度的影响

获取原文
获取原文并翻译 | 示例
           

摘要

Particle segregation behavior in a coal beneficiation fluidized bed (CBFB) is numerically studied using a TFM-DEM hybrid model, in which the gas and the dense solid phases are modeled using a Eulerian-Eule-rian or two fluid model (TFM), while the beneflciated coal particles are modeled as a dilute phase by the discrete element method (DEM). For validation purpose, the numerical model was setup using geometric and operating conditions similar to a laboratory experimental model with the bed thickness set to one particle diameter to save computational cost. For a fixed gas injection velocity, the influence of particle size and density of the beneflciated samples was studied. It was found that the particles would segregate along the bed height due to the density differences with the degree of segregation being strongly influenced by particle size. Obvious segregation occurs for the coarse samples (6.7 mm and 4.3 mm) and little segregation occurs for the particles smaller than 3 mm. The flow patterns and segregation kinetics were qualitatively comparable with those observed in physical experiments conducted under similar conditions. On this basis, the underlying mechanisms governing particle segregation have been explained in terms of the hydrody namic forces acting on individual particles. It was demonstrated that the segregation of coarse particles was mainly controlled by the balance between gravity and the local pressure force, while fine particles were more strongly affected by the direct drag forces from the gas phase and the continuum solid phase, thus making them difficult to separate.
机译:使用TFM-DEM混合模型对煤选矿流化床(CBFB)中的颗粒偏析行为进行了数值研究,其中气体和致密固相使用欧拉-欧拉或两种流体模型(TFM)进行建模,而通过离散元素法(DEM)将选矿后的煤颗粒建模为稀相。为了验证目的,使用类似于实验室实验模型的几何和操作条件来建立数值模型,并将床厚设置为一个粒径,以节省计算成本。对于固定的气体注入速度,研究了选矿样品的粒径和密度的影响。已经发现,由于密度差异,颗粒将沿着床高度分离,并且分离的程度强烈地受粒度影响。粗样品(6.7 mm和4.3 mm)明显偏析,小于3 mm的颗粒偏析很少。流动模式和偏析动力学在质量上与在类似条件下进行的物理实验中观察到的相当。在此基础上,已经根据作用在单个颗粒上的水动力来解释了控制颗粒偏析的基本机理。结果表明,粗颗粒的偏析主要受重力和局部压力之间的平衡控制,而细颗粒受到气相和连续体固相的直接拖曳力的影响更大,从而使其难以分离。分离。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号