| 航空发动机风扇叶片伸根段造型设计与优化 |
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| 引用本文： | 任远,张成成,高靖云,李颖.航空发动机风扇叶片伸根段造型设计与优化[J].航空动力学报,2017,32(12):2824-2834. |
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| 作者姓名： | 任远 张成成 高靖云 李颖 |
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| 作者单位： | 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 |
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| 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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| 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%。
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| 关 键 词： | 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) |
| 收稿时间： | 2016/5/4 0:00:00 |
Shape design and optimization for shank of aeroengine fan blade |
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| 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%. |
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| Keywords: | fan blade bridging curve shank resonance margin radial basis function network(RBFN) particle swarm optimization(PSO) |
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