期刊文献+
共找到2篇文章
< 1 >
每页显示 20 50 100
Accelerating CFD–DEM simulation of processes with wide particle size distributions 被引量:4
1
作者 Tamir Brosh Haim Kalman Avi Levy 《Particuology》 SCIE EI CAS CSCD 2014年第1期113-121,共9页
Sizereduction systems have been extensively used in industry for many years. Nevertheless, reliable engi neering tools to be used to predict the comminution of particles are scarce. Computational fluid dynamics (CFD... Sizereduction systems have been extensively used in industry for many years. Nevertheless, reliable engi neering tools to be used to predict the comminution of particles are scarce. Computational fluid dynamics (CFD)discrete element model (DEM) numerical simulation may be used to predict such a complex phe nomenon and therefore establish a proper design and optimization model for comminution systems, They may also be used to predict attrition in systems where particle attrition is significant. Therefore, empirical comminution functions (which are applicable for any attrition/comminution process), such as: strength distribution, selection, equivalence, breakage, and fatigue, have been integrated into the three dimensional CFDDEM simulation tool. The main drawback of such a design tool is the long computational time required owing to the large number of particles and the minute timestep required to maintain a steady solution while simulating the flow of particulate materials with very fine particles. The present study developed several methods to accelerate CFDDEM simulations: reducing the num ber of operations carried out at the singleparticle level, constructing a DEM grid detached from the CFD grid enabling a no binary search, generating a subgrid within the DEM grid to enable a no binary search for fine particles, and increasing the computational timestep and eliminating the finest particles in the simulation while still tracking their contribution to the process. The total speedup of the simulation process without the elimination of the finest particles was a factor of about 17. The elimination of the finest particles gave additional speedup of a factor of at least 18. Therefore, the simulation of a grinding process can run at least 300 times faster than the conventional method in which a standard no binary search is employed and the smallest particles are tracked. 展开更多
关键词 Computational fluid dynamicsdiscrete element modelSearch algorithmIncreased time-step
原文传递
Improvement,validation and application of CFD/DEM model to dense gas-solid flow in a fluidized bed 被引量:3
2
作者 Falah Alobaid Bernd Epple 《Particuology》 SCIE EI CAS CSCD 2013年第5期514-526,共13页
Dense gas-solid flow with solid volume fraction greater than 10% and at moderate Reynolds number is important in many industrial facilities such as fluidized beds. In this work, the Euler-Lagrange approach in combinat... Dense gas-solid flow with solid volume fraction greater than 10% and at moderate Reynolds number is important in many industrial facilities such as fluidized beds. In this work, the Euler-Lagrange approach in combination with a deterministic collision model is applied to a laboratory-scale fluidized bed. The fluid-particle interaction is studied using a new procedure called the offset method, which results in several numbers of spatial displacements of the fluid grid. The proposed method is highly precise in determining porosity and momentum transfer, thus improving simutation accuracy. A validation study was carried out to assess the results using this in-house CFD/DEM code against 5-s operation of a Plex- iglas spouted-fluidized bed, showing good qualitative correlation of solid distribution in the bed and acceptable quantitative agreement of pressure drops at different positions in the bed. In view of high computing cost, special emphasis is placed on effective program design, such as application of advanced detection algorithm for particle-particle/wall collisions, the multi-grid method and parallel calculation. In this context, the influence of increasing the processor number, up to 36, on calculation efficiency was investigated. 展开更多
关键词 Dense gas-solid flowComputational fluid dynamicsdiscrete element methodOffset methodParallelisation
原文传递
上一页 1 下一页 到第
使用帮助 返回顶部