首页> 外文期刊>Advanced Powder Technology: The internation Journal of the Society of Powder Technology, Japan >Performance of drag models for simulation of fluidized beds with Geldart D particles
【24h】

Performance of drag models for simulation of fluidized beds with Geldart D particles

机译:用Geldart D粒子模拟流化床模拟的性能

获取原文
获取原文并翻译 | 示例
       

摘要

CFD-DEM algorithm which couples the macroscopic governing equations for gas phase and the second law of motions for individual particles in the system, is more accurate than the continuum based description of the particle phase. However, certain key challenges still remain which are the massive computational time and the selection of appropriate drag correlation. In the present work, coupled CFD-DEM simulations of two and three dimensional fluidized beds are carried out using the open source code MFIX, first, to understand the performance of different drag laws and second to investigate the effect of scaling down the actual geometry on fluidization behavior. The average gas and solid phase properties such as bed pressure drop, and the mean particle velocity, are determined and compared with the experimental results to benchmark the numerical simulations. (C) 2016 The Society of Powder Technology Japan. Published by Elsevier B.V. and The Society of Powder Technology Japan. All rights reserved.
机译:CFD-DEM算法耦合用于气相的宏观控制方程和系统中单个颗粒的第二型运动法,比基于颗粒相的基于连续性描述更准确。然而,某些关键挑战仍然是巨大的计算时间和适当的拖动相关的选择。在本作的工作中,使用开源代码MFIX进行两个和三维流化床的耦合CFD-DEM仿真,首先要了解不同阻力法的性能,并探讨缩放实际几何的效果流化行为。确定并将平均气体和固相性能如床压下降和平均颗粒速度相比,与实验结果进行比较,以基准数值模拟。 (c)2016年日本粉技术学会。由elsevier b.v发表。和日本粉末科技会。版权所有。

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