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40000 r/min时,优化后设计点压比和效率分别提高6.59%和3.73%。
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 40000 r/min,the optimized pressure ratio and efficiency at the design point are increased by 6.59%and 3.73%respectively.
作者
王智鑫
李潇宇
方伟豪
汪陈芳
WANG Zhixin;LI Xiaoyu;FANG Weihao;WANG Chenfang(School of Automotive and Transportation Engineering,Hefei University of Technology,Hefei 230009,China)
出处
《内燃机与动力装置》
2020年第1期12-16,共5页
Internal Combustion Engine & Powerplant
基金
安徽省自然科学基金面上项目(1908085ME137)。
关键词
电动增压
低比转速
轮毂轮缘
多目标优化
流场分析
electric supercharging
low specific speed
wheel hub and shroud
multi-objective optimization
flow field analysis