Volume 32 Issue 1
Jan.  2017
Turn off MathJax
Article Contents
Aerodynamic optimization design of high bypass ratio fan blades[J]. Journal of Aerospace Power, 2017, 32(1): 239-247. doi: 10.13224/j.cnki.jasp.2017.01.032
Citation: Aerodynamic optimization design of high bypass ratio fan blades[J]. Journal of Aerospace Power, 2017, 32(1): 239-247. doi: 10.13224/j.cnki.jasp.2017.01.032

Aerodynamic optimization design of high bypass ratio fan blades

doi: 10.13224/j.cnki.jasp.2017.01.032
  • Received Date: 2015-04-17
  • Publish Date: 2017-01-28
  • The automatic optimization method was applied to 3D aerodynamic design of a high bypass ratio fan blade. A genetic algorithm was used as numerical optimization method, and multiCPU parallel optimization was realized by using network communication protocol to greatly shorten the optimization time. The fan blade profiles, stack line, the flow passage in meridian plane, installation angle and chord length were set as design variables. The parameterization method based on modifications to these design variables was combined with the range limit of the design variables in the genetic algorithm, and it controlled and rationalized the individuals generated in optimization process.Dentons viscous volume force method was applied to flow field calculation of the fans,decreasing the calculation time and further reducing the optimization time. The optimization goal was set to improve the fan efficiency and keep total pressure ratio and mass flow rate unchanged at the design point, and the optimized fans performance at offdesign points was checked. The original fan was optimized in two steps, in which the design parameters were adjusted according to aerodynamic characteristics of the fan to be optimized. The final optimized fans efficiency increased from 09463 to 09560, and stability margin increased from 112% to 219%. Mach number of shock wave at blade tip section of the final optimized fan decreased slightly, and the shock wave leaned to the blade passages. Therefore, loss of the shock wave and its effect on boundary layer decreasd, and the stability margin increased.

     

  • loading
  • [1]
    刘大响,金捷,彭友梅,等.大型飞机发动机的发展现状和关键技术分析[J].航空动力学报,2008,23(6):976-980. LIU Daxiang,JIN Jie,PENG Youmei,et al.Summarization of development status and key technologies for large airplane engines[J].Journal of Aerospace Power,2008,23(6):976-980.(in Chinese)
    [2]
    陈懋章,刘宝杰.风扇/压气机气动设计技术发展趋势:用于大型客机的大涵道比涡扇发动机[J].航空动力学报,2008,23(6):961-975. CHEN Maozhang,LIU Baojie.Fan/compressor aero design trend and challenge on the development of high bypass ratio turbofan[J].Journal of Aerospace Power,2008,23(6):961-975.(in Chinese)
    [3]
    Ahn C S,Kim K Y.Aerodynamic design optimization of a compressor rotor with NavierStokes analysis[J].Journal of Power and Energy,2003,217(2):179-183.
    [4]
    Benini E.Threedimensional multiobjective design optimization of a transonic compressor rotor[J].Journal of Propulsion and Power,2004,20(3):559-565.
    [5]
    Lian Y S,Liou M S.Multiobjective optimization of transonic compressor blade using evolutionary algorithm[J].Journal of Propulsion and Power,2005,21(6):979-987.
    [6]
    周明,孙树栋.遗传算法原理及应用[M].北京:国防工业出版社,2001.
    [7]
    张晨凯,胡骏,王志强,等.低速轴流压气机转子叶片三维优化的数值研究[J].航空动力学报 2015,30(2):483-490. ZHANG Chenkai,HU Jun,WANG Zhiqiang,et al.Numerical study on threedimensional optimization of lowspeed axial compressor rotor blade[J].Journal of Aerospace Power,2015,30(2):483-490.(in Chinese)
    [8]
    黄磊,楚武利,邓文剑,等.轴流压气机三维叶片周向积叠的多目标优化[J].机械科学与技术,2009,28(6):716-780. HUANG Lei,CHU Wuli,DENG Wenjian,et al.Multiobjective optimization of the circumferential stacking of axial compressor 3D blades[J].Mechanical Science and Technology for Aerospace Engineering,2009,28(2):716-780.(in Chinese)
    [9]
    王志强,胡骏.风扇转子叶片周向积叠的三维气动优化设计[J].燃气涡轮试验与研究,2007,20(2):8-12. WANG Zhiqiang,HU Jun.Threedimensional aerodynamic design optimization on circumferential stacking of fan blades[J].Gas Turbine Experiment and Research,2007,20(2):8-12.(in Chinese)
    [10]
    Oyama A,Liou M S.Highfidelity swept and leaned rotor blade design optimization using evolutionary algorithm[R].AIAA20034091,2003.
    [11]
    Lian Y S,Liou M S.Multiobjective optimization using coupled response surface model and evolutionary algorithm[J].AIAA Journal,2005,43(6):1316-1325.
    [12]
    ZHENG Rongye,XIANG Jianhua,SUN Jinju.Blade geometry optimization for axial flow compressor[R].ASME Paper GT201022229,2010.
    [13]
    邱名.高级压比轴流压气机转子通道内激波控制规律研究[D].南京:南京航空航天大学,2014. QIU Ming.Research the shock control law in high stage pressureratio compressor rotor channel[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2014.(in Chinese)
    [14]
    周正贵.压气机/风扇叶片自动优化设计[M].北京:国防工业出版社,2013.
    [15]
    周正贵,邱名,徐夏,等.压气机/风扇二维叶型自动优化设计[J].航空学报,2011,32(11):1987-1997. ZHOU Zhenggui,QIU Ming,XU Xia,et al.Automatic optimization design of compressor/fan 2D blade profiles[J].Acta Aeronautica et Astronautica Sinica,2011,32(11):19871997.(in Chinese)
    [16]
    刘龙龙,周正贵,陶胜.基于遗传算法的2维叶型优化设计[J].航空发动机,2014,40(5):50-56. LIU Longlong,ZHOU Zhenggui,TAO Sheng.Optimization design on 2D blade profiles based on genetic algorithm[J].Aeroengine,2014,40(5):50-56.(in Chinese)
    [17]
    陶胜,周正贵,严欣,等.三维环境下离心/斜流压气机二维叶型优化设计[J].航空动力学报,2014,29(12):2095-3002. TAO Sheng,ZHOU Zhenggui,YAN Xin,et al.Optimization design of centrifugal/oblique flow compressor twodimensional blade profiles in threedimensional environment[J].Journal of Aerospace Power,2014,29(12):2095-3002.(in Chinese)
    [18]
    邱名,周正贵.优化方法在轴流压气机转子叶片气动设计中的应用[J].南京航空航天大学学报,2013,45(1):75-81. QIU Ming,ZHOU Zhenggui.Application of numerical optimization method in aerodynamic design of axial compressor rotor[J].Journal of Nanjing University of Aeronautics and Astronautics,2013,45(1):75-81.(in Chinese)
    [19]
    安志强,周正贵,张益豪.轴流压气机叶片准三维自动优化设计[J].推进技术,2014,35(4):485-491. AN Zhiqiang,ZHOU Zhenggui,ZHANG Yihao.Axial compressor blade automatic optimization design based on a quasi threedimensional approach[J].Journal of Propulsion Technology,2014,35(4):485-491.(in Chinese)
    [20]
    汪光文.基于并行遗传算法风扇/压气机叶片气动优化设计[D].南京:南京航空航天大学,2009. WANG Guangwen.Research on aerodynamic optimization design of fan/compressor blade using parallel genetic algorithm[D].Nanjing:Nanjing University of Aeronautics and Astronautics,2009.(in Chinese)
    [21]
    Denton J D.The calculation of three dimensional viscous flow through multistage turbomachines[J].ASME Paper 90GT19,1990.
    [22]
    Dickens T,Day I.The design of highly loaded axial compressors[J].Journal of Turbomachinery,2009,133(3):5767.
  • 加载中

Catalog

    通讯作者: 陈斌, bchen63@163.com
    • 1. 

      沈阳化工大学材料科学与工程学院 沈阳 110142

    1. 本站搜索
    2. 百度学术搜索
    3. 万方数据库搜索
    4. CNKI搜索

    Article Metrics

    Article views (1064) PDF downloads(402) Cited by()
    Proportional views
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return