摘要
采用基于GPU(graphics processing unit)大规模并行的粗粒化CFD-DEM(computational fluid dynamicsdiscrete element method)方法,耦合多分散、非球形颗粒曳力模型,对连续操作的三维流化床进行了长时间颗粒停留时间模拟。通过对不同尺寸(长度)流化床的模拟发现不同粒径颗粒平均停留时间(mean residence time,MRT)与流化床长度呈线性关系,该关系可以用来预测更大尺寸流化床内的颗粒停留时间。随着流化床长度的增加,不同粒径颗粒MRT的差异变大,说明流化床长度的增加对不同尺寸颗粒的停留时间具有一定的调控能力。
Scale-up of fluidized bed is a great challenge in chemical engineering.In order to explore the particle flow behavior and residence time distribution characteristics of the continuously operated polydisperse fluidized bed during the scale-up process,a large-scale parallel GPU-based coarse-grained CFD-DEM method coupled with a polydisperse and non-spherical particle drag model was used.Long-term particle residence time simulations were carried out in a continuously operated three-dimensional fluidized bed.Through the simulation of fluidized beds of different sizes(lengths),it is found that the mean residence time(MRT)of particles of different sizes has a linear relationship with the length of the fluidized bed.This relationship can be used to predict the particle MRT of larger fluidized beds.As the length of the fluidized bed increases,the difference in MRT of particles with different sizes becomes larger,indicating that the increase in the length of the fluidized bed has a certain ability to regulate the residence time of particles with different sizes.
作者
兰斌
徐骥
刘志成
王军武
LAN Bin;XU Ji;LIU Zhicheng;WANG Junwu(State Key Laboratory of Multiphase Complex Systems,Institute of Process Engineering,Chinese Academy of Sciences,Beijing 100190,China;School of Chemical Engineering,University of Chinese Academy of Sciences,Beijing 100049,China;Innovation Academy for Green Manufacture,Chinese Academy of Sciences,Beijing 100190,China;Sinopec Shanghai Research Institute of Petrochemical Technology,Shanghai 201208,China)
出处
《化工学报》
EI
CAS
CSCD
北大核心
2021年第1期521-533,共13页
CIESC Journal
基金
国家自然科学基金项目(21978295)
中国科学院绿色过程制造创新研究院自主部署项目(IAGM-2019-A13)
多相复杂系统国家重点实验室自主部署课题项目(MPCS-2019-A-07)。
关键词
气固流
多分散颗粒
停留时间分布
离散模拟
放大
gas-solid flow
polydisperse particles
residence time distribution
discrete simulation
scale-up
