• 主题
高级搜索  >
历史搜索 清空历史
首页> 美国政府科技报告 >Characterization of the fluidization behavior of different solid types based on chaotic time series analysis of pressure signals.
【24h】

Characterization of the fluidization behavior of different solid types based on chaotic time series analysis of pressure signals.

机译：基于压力信号的混沌时间序列分析表征不同固体类型的流化行为。

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Results from a laboratory-scale fluidized bed are presented to show that chaotic time series analysis of pressure-drop measurements can be used to distinguish the behavior patterns of three different fluidizing solids belonging to groups A, B, and D (Geldart classification scheme). The results also show that chaotic time series analysis of pressure measurements can be used to detect transitions in flow regime as gas velocity is increased for a given solid. The results are based on pressure-drop measurements from a room-temperature, atmospheric fluidized bed operated over a range of air flows and a static bed height of 28 cm. In the present study, two different pressure-drop measurements were used. One provided the overall pressure drop and the other provided the pressure drop across a 12.7-cm-high section located near the top of the static bed. In addition to the conventional Fourier analysis, we employ the following chaotic time series analysis tools: principal components analysis of the phase-space trajectory, the mutual information function, and the average Kolmogorov entropy. Our objectives are to show how these analytical tools when applied to fluidized bed pressure-drop measurements can be used to detect transition in fluidization regime as well as to delineate the difference, if any, of the fluidization states in a local or global scale (i.e., spatially distributed) for a given fluidizing solid.

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