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GPU-accelerated large eddy simulation of stirred tanks
Shu, Shuli; Yang, Ning
2018-05-18
Source PublicationCHEMICAL ENGINEERING SCIENCE
ISSN0009-2509
Volume181Pages:132-145
Abstract

A fast and economical solver, accelerated by the Graphics Process Units (GPU) of a single graphics card in a desktop computer, is developed for the simulation of stirred tanks, integrating Lattice Boltzmann Method (LBM), coherent Large Eddy Simulation (LES) and Immersed Boundary Method (IBM). The grid resolution can reach 13.8 million nodes in maximum, resolving considerable details of flow field in stirred tanks with only such a simple desktop computer. In the meantime, the computational speed is 1500-fold faster than that of the traditional transient simulation of Computational Fluid Dynamics (CFD) based on Navier-Stokes equations implemented on 16 CPU cores. It only takes less than two minutes to update the simulation of one impeller revolution, enabling the transient simulation of longer physical time of stirred tanks. We find that at least 4000 impeller revolutions in simulation is needed to achieve an obviously time-independent macro-instability frequency. With the coherent LES model and reasonable grid resolution, the fast solver is able to resolve more than 95% of total Turbulent Kinetic Energy (TKE) for highly turbulent region, reproducing the monotonic decrease of TKE along the radial direction, much better than the Smagorinsky model. The average velocity and TKE predicted by the fast solver are in better agreement with the experimental data in literature. The solver is therefore more suitable for the fast simulation of stirred tanks using only a desktop computer without the need of much finer grid resolution and supercomputers. (C) 2018 Elsevier Ltd. All rights reserved.

KeywordStirred Tank Lbm Large Eddy Simulation Gpu Acceleration
SubtypeArticle
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.ces.2018.02.011
Indexed BySCI
Language英语
WOS KeywordLattice Boltzmann Method ; Numerical-simulation ; Turbulent-flow ; Rushton Turbine ; Mixing Time ; Vessels ; Impeller ; Model ; Prediction ; Les
WOS Research AreaEngineering
WOS SubjectEngineering, Chemical
Funding OrganizationNational Key Research and Development Program of China(2017YFB0602500) ; National Natural Science Foundation of China(91634203) ; Chinese Academy of Sciences(122111KYSB20150003)
WOS IDWOS:000431193400013
Citation statistics
Document Type期刊论文
Identifierhttp://ir.ipe.ac.cn/handle/122111/24419
Collection多相复杂系统国家重点实验室
AffiliationChinese Acad Sci, Inst Proc Engn, State Key Lab Multiphase Complex Syst, POB 353, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Shu, Shuli,Yang, Ning. GPU-accelerated large eddy simulation of stirred tanks[J]. CHEMICAL ENGINEERING SCIENCE,2018,181:132-145.
APA Shu, Shuli,&Yang, Ning.(2018).GPU-accelerated large eddy simulation of stirred tanks.CHEMICAL ENGINEERING SCIENCE,181,132-145.
MLA Shu, Shuli,et al."GPU-accelerated large eddy simulation of stirred tanks".CHEMICAL ENGINEERING SCIENCE 181(2018):132-145.
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