MODELING OF THE PARTICLE RESIDENCE TIME DISTRIBUTION IN FLUIDIZED BED RISERS USING A STATIONARY DEM-BASED MARKOV PROCESS

摘要：

　　A stochastic model based on first-order Markov chain that represents the motion of particles in a 2D fluidized bed riser is introduced.The matrix of transition probability is calculated directly using statistic data obtained from a DEM simulation.The probability distribution of particles position is shown based on the Markov process.It indicates the capability of the stochastic model to describe the macroscopic properties of particles movement.Residence time distributions (RTD) of DEM simulation and stochastic model are compared, and the mathematical expectations have less than 2% difference.The stationary DEM-based Markov process successfully characterizes RTD property of the fluidized bed riser.The influence of cells size on the RTD in Markov process is discussed, and it seems to be unimportant in this case when concerning RTD.

关键词： Markov chain discrete element method (DEM) fluidized bed residence time distribution

作者: Yaming Zhuang Ming Zhao Daoyin Liu Juncong Sai Xiaoping Chen Yalin Qiu

作者单位: Key Laboratory of Energy Thermal Conversion and Control (Southeast University),Ministry of Education YunNan Electric Power Test & Research Institute Group CO.,LTD.Electric Power Research Institute,Kunm

会议类型: 国际会议

会议名称: The 11th International Conference on Fluidized Bed Technology(CFB-11)(第十一届流化床技术国际会议)

会议地点: 北京

会议语种:英文

页码: 395-400

在线出版日期: 2014-05-14（万方平台首次上网日期，不代表论文的发表时间）