航空发动机风扇叶片伸根段造型设计与优化

任远; 张成成; 高靖云; 李颖

doi:10.13224/j.cnki.jasp.2017.12.002

航空发动机风扇叶片伸根段造型设计与优化

doi: 10.13224/j.cnki.jasp.2017.12.002

中国航空发动机集团有限公司商用航空发动机有限责任公司上海商用飞机发动机工程技术研究中心,上海 200241

基金项目: 上海市“引进技术消化与吸收”专项资金（12XI-04）; 上海科委科研计划项目（13DJ1400200）

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出版历程
- 收稿日期: 2016-05-04
- 刊出日期: 2017-12-28

Shape design and optimization for shank of aeroengine fan blade

摘要

摘要: 探索了航空发动机风扇叶片伸根段造型的优化设计方法,利用它在保持叶身气动设计不变的情况下使风扇叶片振动特性得到改善。建立了基于非均匀有理B样条NURBS (non-uniform rational B-spline)桥接曲线的伸根段造型方法,实现气动叶身与榫头侧面间的光滑连接；通过改变桥接曲线控制顶点的位置实现伸根段造型的参数化设计,并在相关假设条件的基础上提取了完全定义伸根段造型所需的8个设计变量；以风扇叶片共振裕度最大化作为伸根段设计目标,在径向基函数网络(RBFN)与粒子群(PSO)算法的基础上建立了伸根段造型优化设计流程,其原理是构造RBFN近似模型来逼近和预测风扇叶片共振裕度与伸根段设计变量间的隐式目标函数,在此基础上使用PSO算法搜索使共振裕度达到最大化的伸根段设计变量组合。结果表明：某大涵道比宽弦风扇叶片采用上述流程,通过优化伸根段造型使风扇叶片轴向一弯模态的自振频率得到提高,与转速3倍频激振间的共振裕度提高约2%。
- 风扇叶片 /
- 桥接曲线 /
- 伸根段 /
- 共振裕度 /
- 径向基函数网络(RBFN) /
- 粒子群(PSO)
Abstract: The optimization method for designing the shape of the shank of an aeroengine fan blade was explored, and it was used to improve the vibration property of the fan blade without changing the aerodynamic design of the blade. First, the method for designing the shape of shank based on NURBS (nonuniform rational B-spline) bridging curves was established, and the smooth connection between the passage blade and the tenon sides was achieved. Then the parametric design of the shank shape was accomplished by adjusting the positions of the control points of the bridging curves, and 8 design variables which were required to completely define the shape of the shank were extracted on the basis of related assumptions. The maximization of resonance margin of the fan blade was chosen as the objective of shank design; the optimization process of shank shape design was established based on radial basis function network (RBFN) and particle swarm optimization (PSO), and the principle is that an RBFN metamodel is constructed to approximate and predict the implicit objective function whose input and output are design variables of the shank and resonance margin of the fan blade respectively, and that PSO is used to find the best combination of shank design variable which achieves the maximum resonance margin. The above process was used in the design of a high bypass ratio widechord fan blade, and the shank shape was optimized so that the natural frequency of the axial first order bending mode for the fan blade was increased and that the resonance margin for the excitation frequency that was the triple of the rotation speed was increased by about 2%.
- fan blade /
- bridging curve /
- shank /
- resonance margin /
- radial basis function network(RBFN) /
- particle swarm optimization(PSO)

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参考文献(18)

[1]	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)
[2]	陈光.航空发动机结构设计分析［M］.2版.北京:北京航空航天大学出版社,2014.
[3]	李惠莲,纪福森,伊锋,等.大涵道比宽弦风扇叶片连接结构设计及分析研究［J］.航空科学技术,2011,13(5):33-36.LI Huilian,JI Fusen,YI Feng,et al.The machinery design and analysis of the wide chord fan blade in huge bypass ratio aeroengine［J］.Aeronautical Science and Technology,2011,13(5):33-36.(in Chinese)
[4]	梁春华.高性能航空发动机先进风扇和压气机叶片综述［J］.航空发动机,2006,32(3):48-52.LIANG Chunhua.Overview of advanced fan and compressor blade/vane in high performance aeroengine［J］.Aeroengine,2006,32(3):48-52.(in Chinese)
[5]	刘廷毅,伊锋,张峻峰.航空发动机圆弧型榫头型面优化设计［J］.南京航空航天大学学报,2008,40(3):288-291.LIU Tingyi,YI Feng,ZHANG Junfeng.Optimization for arc contact face of swallowtailed root［J］.Journal of Nanjing University of Aeronautics and Astronautics,2008,40(3):288291.(in Chinese)
[6]	王维勃.NURBS曲线曲面的桥接［D］.北京:清华大学,2009.WANG Weibo.Bridging NURBS curves and surfaces［D］.Beijing:Tsinghua University,2009.(in Chinese)
[7]	PIEGL L.Modifying the shape of rational Bsplines curves:Part 1 computeraided design,1989,21(4):509-518.
[8]	余晶晶,李克安,陈岭.航空发动机转子叶片自由振动固有频率的数值计算方法［J］.湖南理工学院学报(自然科学版),2011,24(4):52-57.YU Jingjing,LI Kean,CHEN Ling.Numerical calculation method of natural frequency for free vibration of aeroengine rotor blade［J］.Journal of Hunan Institute of Science and Technology (Natural Sciences),2011,24(4):52-57.(in Chinese)
[9]	HORNIK K,STINCHCOMBE M,WHITE H.Multilayer feedforward networks are universal approximators［J］.Neural Networks,1989,2(5):359-366.
[10]	PARK J,SANDBERG I W.Universal approximation using radialbasis function networks［J］.Neural Computation,1991,3(2):246-257.
[11]	JONES D,SCHONLAU M,WELCH W.Efficient global optimization of expensive blackbox functions［J］.Journal of Global Optimization,1998,13(4):455-492.
[12]	VAPNIK V.An overview of statistical learning theory［J］.IEEE Transactions on Neural Networks,1999,10(5):988-999.
[13]	任远,白广忱.径向基神经网络在近似建模中的应用研究［J］.计算机应用,2009,29(1):115-118.REN Yuan,BAI Guangchen.Research on application of radial basis neural network in approximation modeling［J］.Journal of Computer Applications,2009,29(1):115-118.(in Chinese)
[14]	TORCZON V.On the convergence of pattern search algorithms［J］.SIAM(Society for Industrial and Applied Mathematics) Journal of Optimization,1997,7(1):1-25.
[15]	KENNEDY J,EBERHART R.Particle swarm optimization［C］∥Proceedings of IEEE International Conference on Neural Networks.Perth,Australia:IEEE,1995:1942-1948.
[16]	JONES D,SCHONLAU M,WELCH W.Efficient global optimization of expensive blackbox functions［J］.Journal of Global Optimization,1998,13(4):455-492.
[17]	张雯雰,王刚,朱朝晖,等.粒子群优化算法种群规模的选择［J］.计算机系统应用,2010,19(5):125-128.ZHANG Wenfen,WANG Gang,ZHU Xiaohui,et al.Population size selection of particle swarm optimizer algorithm［J］.Computer Systemsand Applications,2010,19(5):125-128.(in Chinese)
[18]	CLERC M.The swarm and the queen:towards a deterministic and adaptive particle swarm optimization［C］∥Proceedings of the Congress on Evolutionary Computation.Washington D C,USA:IEEE,1999:1951-1957.