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基于贝塞尔曲面参数化方法的1.5高负荷轴流压气机气动优化
引用本文:周创鑫,成金鑫,黄松,王名扬,赵胜丰. 基于贝塞尔曲面参数化方法的1.5高负荷轴流压气机气动优化[J]. 航空动力学报, 2021, 36(4): 673-686. DOI: 10.13224/j.cnki.jasp.2021.04.001
作者姓名:周创鑫  成金鑫  黄松  王名扬  赵胜丰
作者单位:1.中国科学院 工程热物理研究所 轻型动力重点实验室,北京 100190
基金项目:国家自然科学基金(51706223)
摘    要:基于贝塞尔曲面参数化控制理论发展了一套高效的轴流压气机全局优化设计方法,通过在优化循环中改变转、静子叶片吸力面几何形状来得到优化解,具有优化变量少、物理直观性强及曲面光滑等优点。以某1.5级高负荷轴流压气机为研究对象,在Isight平台上集成了贝塞尔曲面参数化程序、CFD求解器及多岛遗传算法来对其进行气动性能优化。结果表明:在总压比变化不超过±0.5%、流量不降低的约束条件下,优化后压气机设计点流量增大0.938%,等熵效率提高0.486%,综合裕度拓宽1.361%,验证了全局优化方法的有效性。 

关 键 词:轴流压气机   气动优化   曲面参数化   多岛遗传算法   全局寻优
收稿时间:2020-05-22

Aerodynamic optimization of 1.5-stage highly loaded axial compressor through Bezier surface parameterization method
ZHOU Chuangxin,CHENG Jinxin,HUANG Song,WANG Mingyang,ZHAO Shengfeng. Aerodynamic optimization of 1.5-stage highly loaded axial compressor through Bezier surface parameterization method[J]. Journal of Aerospace Power, 2021, 36(4): 673-686. DOI: 10.13224/j.cnki.jasp.2021.04.001
Authors:ZHOU Chuangxin  CHENG Jinxin  HUANG Song  WANG Mingyang  ZHAO Shengfeng
Affiliation:1.Laboratory of Light-Duty Gas-Turbine,Institute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing 100190,China2.University of Chinese Academy of Sciences,Beijing 100049,China3.Innovation Academy for Light-duty Gas Turbine,Chinese Academy of Sciences,Beijing 100190,China
Abstract:An efficient global optimization strategy based on the Bezier surface parameterization method for axial compressors was developed. The suction surface shapes of the rotors and stators were changed in the optimization cycles to obtain the optimized solution. It had the advantages of fewer optimization variables, strong physical visuality and keeping surfaces smoothing. A numerical optimization process was conducted for a 1.5-stage highly loaded axial compressor based on the Isight platform, which integrated the Bezier surface parameterization codes, CFD solver and multi-island genetic algorithm. Results showed that the mass flow was increased by 0.938%, the isentropic efficiency was enlarged by 0.486%, and the surge margin was extended by 1.361% at the design point after optimization, while the maximum changed in the total pressure ratio was lower than ±0.5% and the mass flow did not decrease. Therefore, the global optimization strategy was demonstrated to be effective in axial compressor optimization.
Keywords:axial compressor  aerodynamic optimization  surface parameterization  multi-island genetic algorithm  global optimization
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