王智鑫，李潇宇，方伟豪，汪陈芳*
合肥工业大学汽车与交通工程学院，安徽合肥230009
摘要：对电动增压器用低比转速离心压气机轮毂轮缘进行优化设计。采用NUMECA/FINE Design 3D对压气机进行几何参数化，生成数据库样本，利用人工神经网络和遗传算法对轮毂轮缘型线进行优化，并进行流场分析。仿真结果表明，在设计转速为40 000 r/min时，优化后设计点压比和效率分别提高6.59%和3.73%。
关键词：电动增压；低比转速；轮毂轮缘；多目标优化；流场分析
Abstract:The design of the low specific speed wheel hub and shroud for electric supercharger is optimized.The compressor geometry is parameterized by NUMECA/FINE Design3D, and database samples are generated.The artificial neural network and genetic algorithm are used to optimize the wheel profile.The simulation results show that, at the design speed 40 000 r/min,the optimized pressure ratio and efficiency at the design point are increased by 6.59% and 3.73% respectively.
Keywords:electric supercharging; low specific speed; wheel hub and shroud; multiobjective optimization; flow field analysis
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