流体机械

2013, v.41;No.492(06) 42-45

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轴流风机叶型自动优化设计
Automatic Optimization Design of Axial-flow Fan Profiles

安志强;周正贵;刘龙龙;
AN Zhi-qiang,ZHOU Zheng-gui,LIU Long-long(Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

摘要(Abstract):

将遗传算法与流场正问题计算相结合,构造轴流风机叶型自动优化设计软件。利用遗传算法可并行特质,实现局域网多CPU并行优化,大幅度缩短寻优耗时。应用所研制的软件,对一低压轴流风机5个型面进行优化设计、沿径向积叠构成三维叶片,并运用NUMECA软件对设计叶轮进行数值验算。结果表明:优化叶轮基本达到给定压升、流量并具有较高的全压效率和较大的稳定工作裕度。
A genetic algorithm,combined with direct flow computational method,is applied to develop the software used for the automatic optimization design of axial-flow fan profiles.With the ability of parallel computing,the genetic algorithm can minimize the optimization time substantially.The software is used to design profiles on five radial surfaces of a low-pressure axial-flow fan rotor,and the rotor is tested with NUMECA software,which shows high efficiency and large stability margin.

关键词(KeyWords): 轴流风机;正问题设计;数值优化
axial-flow fan;direct design method;numerical optimization

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作者(Author): 安志强;周正贵;刘龙龙;
AN Zhi-qiang,ZHOU Zheng-gui,LIU Long-long(Nanjing University of Aeronautics and Astronautics,Nanjing 210016,China)

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