Performance optimization of engine cooling fan

 

 

WANG Tianyu, WANG Xiao, LIU Huixia, FENG Shilin, SU Zhanlong

 

(School of Mechanical Engineering, Jiangsu University, Zhenjiang 212013, China)

 

 

Abstract: Aiming at the problem of performancebased optimization of the automotive engine cooling fan blade geometry, the parametric modeling technology was applied to description of the cooling fan blade installation angle, and a parameterized model of cooling fan was established. A platform for optimization design of engine cooling fan was built based on multidisciplinary optimization software isight and commercial fluid simulation software fluent. In the platform, parameterization modeling, meshing, computational simulation and optimization were combined together. In addition, the optimization of fan was performed on the platform, using nondonminated sorting genetic algorithms Ⅱ. The optimization results were compared with the test results. Moreover, the inner flow field of cooling fan was analyzed. The results indicate that the static pressure increased by 12.8406%, and dynamic pressure and efficiency of fan are also improved. The overall performance of fan has been optimized.

 

Key words: engine; cooling fan; computational fluid dynamics (CFD); optimization