DocumentCode :
2619052
Title :
The parallel algorithm study of cavitation flow on the hydrofoil
Author :
Zhang, Mu ; Tan, Junjie ; Ma, Xinjian ; Yi, Wenjun ; Chen, Zhihua
Author_Institution :
Sch. of Energy & Power Eng., Nanjing Univ. of Sci. & Technol., Nanjing, China
fYear :
2011
fDate :
27-29 June 2011
Firstpage :
863
Lastpage :
866
Abstract :
Since the numerical simulation for two phase flow that couples the cavitation model with turbulent flow, remains as one of the challenging issues in the society and needs a long calculation time to achieve the result. Hence, based on the shared-memory multiprocessor, a parallel algorithm is designed to reduce the calculation time in this paper. The LES technology and Sauer cavitation model are used to simulate the cavitation flow on the hydrofoil. A divisional method is designed to implement the load balance. A case of NACA0015 hydrofoil is adopted to validate the parallel algorithm. Furthermore, the speedup ratio and parallel efficiency are investigated. Comparison of the parallel calculation result with the experiment result and the serial calculation result, it´s shown that the parallel algorithm can be applied to the simulation of cavitation flow.
Keywords :
cavitation; computational fluid dynamics; external flows; flow simulation; hydrodynamics; mechanical engineering computing; numerical analysis; parallel algorithms; resource allocation; shared memory systems; two-phase flow; LES technology; NACA0015 hydrofoil; Sauer cavitation model; cavitation flow; divisional method; load balance; numerical simulation; parallel algorithm; parallel efficiency; shared memory multiprocessor; speedup ratio; turbulent flow; two phase flow; Computational modeling; Equations; Mathematical model; Numerical models; Numerical simulation; Parallel algorithms; Simulation; LES; MPI; cavitation; parallel algorithm; parallel efficiency;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Science and Service System (CSSS), 2011 International Conference on
Conference_Location :
Nanjing
Print_ISBN :
978-1-4244-9762-1
Type :
conf
DOI :
10.1109/CSSS.2011.5974607
Filename :
5974607
Link To Document :
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