Simulation of flow and drying characteristics of high-moisture particles in an impinging stream dryer via CFD-DEM

被引:47
作者
Khomwachirakul, Patiwat [1 ]
Devahastin, Sakamon [2 ]
Swasdisevi, Thanit [3 ]
Soponronnarit, Somchart [1 ]
机构
[1] King Mongkuts Univ Technol Thonburi, Sch Energy Environm & Mat, Div Energy Technol, Bangkok 10140, Thailand
[2] King Mongkuts Univ Technol Thonburi, Fac Engn, Dept Food Engn, Bangkok 10140, Thailand
[3] King Mongkuts Univ Technol Thonburi, Sch Energy Environm & Mat, Div Thermal Technol, 126 Pracha U Tid Rd, Bangkok 10140, Thailand
关键词
CFD-DEM; flash drying; ISD; particle-particle interactions; pneumatic drying; residence time distribution; transport phenomena; GAS-SOLID FLOW; NUMERICAL-SIMULATION; HEAT-TRANSFER; FLUIDIZED-BED; MODEL;
D O I
10.1080/07373937.2015.1081930
中图分类号
TQ [化学工业];
学科分类号
0817 ;
摘要
Impinging stream dryer (ISD) is an alternative for drying high-moisture particulate materials. Due to the complex multiphase transport phenomena that take place within an ISD, use of a reliable computational model instead of a tedious experimental route to aid the design of the dryer is desirable. In the present study, computational fluid dynamics were used in combination with the discrete element method (CFD-DEM) to predict, for the first time, the multiphase transport phenomena within a coaxial ISD; results from a model that does not consider particle-particle interactions (CFD) were also obtained and compared with those from the CFD-DEM model. In all cases, high-moisture particles having negligible internal transport resistance were assumed. Both models were used to simulate the gas-particle motion behavior, particle mean moisture content, particle mean residence time, and particle residence time distribution. The simulated results from both models were compared with the experimental data whenever possible. The results showed that the CFD-DEM model could be utilized to predict the particle motion behavior and led to more physically realistic results than the CFD model. The CFD-DEM model also gave predictions that were in better agreement with the experimental mean particle residence time and moisture content data.
引用
收藏
页码:403 / 419
页数:17
相关论文
共 34 条
[1]  
[Anonymous], CHEM ENG SCI
[2]  
[Anonymous], DRYING TECHNOLOGY
[3]  
[Anonymous], 2013, ANSYS FLUENT THEOR G
[4]   Modeling of Heat Transfer in Pneumatic Conveyer Using a Combined DEM-CFD Numerical Code [J].
Brosh, T. ;
Levy, A. .
DRYING TECHNOLOGY, 2010, 28 (02) :155-164
[5]   Numerical Simulation of Multiphase Transport Phenomena During Impinging Stream Drying of a Particulate Material [J].
Choicharoen, Kwanchai ;
Devahastin, Sakamon ;
Soponronnarit, Somchart .
DRYING TECHNOLOGY, 2012, 30 (11-12) :1227-1237
[6]   Performance and Energy Consumption of an Impinging Stream Dryer for High-Moisture Particulate Materials [J].
Choicharoen, Kwanchai ;
Devahastin, Sakamon ;
Soponronnarit, Somchart .
DRYING TECHNOLOGY, 2010, 28 (01) :20-29
[7]   CFD-DEM simulation of the gas-solid flow in a cyclone separator [J].
Chu, K. W. ;
Wang, B. ;
Xu, D. L. ;
Chen, Y. X. ;
Yu, A. B. .
CHEMICAL ENGINEERING SCIENCE, 2011, 66 (05) :834-847
[8]  
Crowe C.T., 1998, MULTIPHASE FLOW DROP
[9]   Mathematical Model Based on DSMC Method for Particulate Drying in a Coaxial Impinging Stream Dryer [J].
Du, Min ;
Gong, Jun ;
Chen, Wei ;
Wang, Qian .
DRYING TECHNOLOGY, 2015, 33 (06) :646-658
[10]   A modified DSMC method for simulating gas-particle two-phase impinging streams [J].
Du, Min ;
Zhao, Changsui ;
Zhou, Bin ;
Guo, Hongwei ;
Hao, Yingli .
CHEMICAL ENGINEERING SCIENCE, 2011, 66 (20) :4922-4931