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一种高负荷叶型优化设计方法

赵清伟 潘若痴

赵清伟, 潘若痴. 一种高负荷叶型优化设计方法[J]. 航空动力学报, 2016, 31(12): 3017-3025. doi: 10.13224/j.cnki.jasp.2016.12.026
引用本文: 赵清伟, 潘若痴. 一种高负荷叶型优化设计方法[J]. 航空动力学报, 2016, 31(12): 3017-3025. doi: 10.13224/j.cnki.jasp.2016.12.026
ZHAO Qing-wei, PAN Ruo-chi. A method of optimal design of highly-loaded airfoil[J]. Journal of Aerospace Power, 2016, 31(12): 3017-3025. doi: 10.13224/j.cnki.jasp.2016.12.026
Citation: ZHAO Qing-wei, PAN Ruo-chi. A method of optimal design of highly-loaded airfoil[J]. Journal of Aerospace Power, 2016, 31(12): 3017-3025. doi: 10.13224/j.cnki.jasp.2016.12.026

一种高负荷叶型优化设计方法

doi: 10.13224/j.cnki.jasp.2016.12.026
详细信息
    作者简介:

    赵清伟(1985-),男,黑龙江海伦人,工程师,硕士,主要从事风扇/压气机气动设计及研究.

  • 中图分类号: V231.3

A method of optimal design of highly-loaded airfoil

  • 摘要: 采用3段3次贝塞尔曲线拟合叶型中弧线弯角分布,两段3次贝塞尔曲线拟合厚度分布,进行流线面造型,并结合优化算法进行寻优.S1流场评价工具为MISES软件,寻优算法为遗传算法(GA).将传统遗传算法进行改进,引入并行模块,较大程度地提高了计算效率.实现了高负荷叶型的自动优化,探讨了高负荷叶型的设计准则,并将准则应用于超声叶型设计.结果表明:相比于原始叶型,优化后的叶型Ⅰ在总压损失系数略降低和出口气流角不变的条件下,可用攻角范围拓宽约2°,叶型Ⅱ的总压损失系数明显降低,可用攻角范围拓宽约0.6°,落后角降低约3.9°.

     

  • [1] 周正贵.混合遗传算法及其在叶片自动优化设计中的应用[J].航空学报,2002,23(6):571-574. ZHOU Zhenggui.Composite genetic algorithm and its application to automatic optimization of turbomachinery blade[J].Acta Aeronautica et Astronautica Sinica,2002,23(6):571-574.(in Chinese)
    [2] 汪光文,周正贵,胡骏.基于并行遗传算法压气机叶片自动优化设计[J].航空动力学报,2006,21(5):923-928. WANG Guangwen,ZHOU Zhenggui,HU Jun.Design optimization of compressor blades using parallel genetic algo-rthms[J].Journal of Aerospace Power,2006,21(5):923-928.(in Chinese)
    [3] 陈忠良,姜斌,郑群,等.高亚声速轴流压气机的优化叶型[J].航空动力学报,2015,30(4):891-900. CHEN Zhongliang,JIANG bin,ZHENG Qun,et al.Optimized profile of high subsonic axial flow compressor[J].Journal of Aerospace Power,2015,30(4):891-900.(in Chinese)
    [4] 金东海,桂幸民.混合遗传算法的研究及其在压气机叶型优化设计中的应用[J].航空学报,2006,27(1):29-32. JIN Donghai,GUI Xingmin.Design optimization of compressor blades by hybrid genetic algorithm[J].Acta Aeronautica et Astronautica Sinica,2006,27(1):29-32.(in Chinese)
    [5] 徐国华,周正贵.任意回转面叶型优化设计研究[J].机械制造,2013,51(4):30-33.
    [6] 邓文剑,楚武利,张皓光,等.压气机叶型气动优化设计研究[J].流体机械,2007,35(3):25-28. DENG Wenjian,CHU Wuli,ZHUANG Haoguang,et al.Application of response surface method in the air-foil aerodynamic optimization design[J].Fluid Machinery,2007,35(3):25-28.(in Chinese)
    [7] 李军,邓清华,丰镇平.基于进化算法的压气机叶型多目标优化设计[J].中国电机工程学报,2004,24(10):205-209. LI Jun,DENG Qinghua,FENG Zhenping.Multiobjec-tive optimization design of a compressor airfoil using evolutionary algorithms[J].Proceeding of the Chinese Society for Electrical Engineering,2004,24(10):205-209.(in Chinese)
    [8] 刘宝杰,袁春香,于贤君.前缘形状对可控扩散叶型性能影响[J].推进技术,2013,34(7):890-897. LIU Baojie,YUAN Chunxiang,YU Xianjun.Effects of leading-edge geometry on aerodynamic performance in controlled diffusion airfoil[J].Journal of Propulsion Technology,2013,34(7):890-897.(in Chinese)
    [9] 王掩刚,魏崃,陈为雄.大弯角串列叶型优化设计与数值分析[J].推进技术,2014,35(11):1469-1474. WANG Yangang,WEI Lai,CHEN Weixiong.Optimization and numerical simulation of high-turing tandem cascade[J].Journalof Propulsion Technology,2014,35(11):1469-1474.(in Chinese)
    [10] Frank S,Beat R,Casey M,et al.Design of industrial axial compressor blade sections for optimal range and performance[J]. Journal of Turbomachinery,2004,126(2):323-331.
    [11] Terry L.Aerodynamic shape optimization using a real-number-encoded genetic algorithm[R].AIAA-2001-2473,2001.
    [12] Alireza F,Abdollah S,Mohammad A.A strategy for multi-point compressor blading using multi-objective optimization[R].ASME Paper GT2012-9643,2012.
    [13] Akin K,Amit K D,Dieter B.Modern compressor aerodynamic blading process using multiobjective optimization[R].ASME Paper GT2006-90206,2006.
    [14] Koller U,Moning R.Development of advanced compressor airfoils for heavy-duty gas turbins:Part Ⅰ design and optimization[J].Journal of Turbomachinery,2000,122(3):397-405.
    [15] Cornelius C,Biesinger T,Galpin P,et al.Experimental and computational analysis of a multistage axial compressor including stall prediction by steady and transent CFD methods[R].ASME Paper GT2013-9463,2013.
    [16] Holland J H.Adaptation in natural and artificial systems[M].Ann Arbor,MI:University of Michigan Press,1975.
    [17] 于荣彬.基于遗传算法的叶型气动优化设计[J].装备制造技术,2014(1):64-65,69. YU Rongbin.Genetic algorithm based blade profile aerodynamic optimal design[J].Equipment Manufacturing Technology,2014(1):64-65,69.(in Chinese)
    [18] 赵清伟,董洪瑞,潘若痴,等.基于并行遗传算法的高负荷叶型优化[C]//第十五届推进系统气动热力学会议论文集.北京:中国航空学会动力分会,2015:288-292.
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出版历程
  • 收稿日期:  2016-07-02
  • 刊出日期:  2016-12-28

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