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。
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.
作者
周创鑫
成金鑫
黄松
王名扬
赵胜丰
ZHOU Chuangxin;CHENG Jinxinl;HUANG Song;WANG Mingyang;ZHAO Shengfeng(Laboratory of Light-Duty Gas Turbine,Institute of Engineering Thermophysics,Chinese Academy of Sciences,Beijing 100190,China;University of Chinese Academy of Sciences,Beijing 100049,China;Innovation Academy for Light-duty Gas Turbine,Chinese Academy of Sciences,Beijing 100190,China)
出处
《航空动力学报》
EI
CAS
CSCD
北大核心
2021年第4期673-686,共14页
Journal of Aerospace Power
基金
国家自然科学基金(51706223)。
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
axial compressor
aerodynamic optimization
surface parameterization
multi-island genetic algorithm
global optimization