| 张效溥1，王仲林1，田杰1，2，3，陈勇1，2，3，欧阳华1，2，3.基于积叠线的风扇叶片优化与振动特性研究[J].航空发动机,2020,46(4):58-64 |
| 基于积叠线的风扇叶片优化与振动特性研究 |
| Study on Optimization and Vibration Characteristics of Fan Blade Based on Stack Line |
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| DOI： |
| 中文关键词: 风扇叶片 积叠线 Kriging 代理模型 振动特性 优化设计 航空发动机 |
| 英文关键词:fan blade stack line Kriging surrogate model vibration characteristics optimization design aeroengine |
| 基金项目:航空动力基础研究项目资助 |
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| 中文摘要: |
| 为了改善航空发动机风扇叶片静强度和振动特性，以风扇叶片静应力和应变能密度指数为优化目标，采用Kriging 代理
模型和微种群遗传算法，分析风扇叶片重心积叠线周向构型变化对叶片强度振动性能的影响。以叶片重心积叠线周向构型为设计
参数，实现风扇叶片参数化建模和有限元网格的自动划分及有限元计算。建立航空发动机风扇“参数化建模—有限元仿真—强度和
振动特性优化”的一体化平台，对某宽弦风扇叶片进行优化设计。结果表明：优化后叶片中心的高应力区向叶尖偏移，叶根前缘的高
应力区得到了改善，最大静应力减小了5.45%，应变能密度指数减小了5.94%，在相同载荷下的第1 阶振动应力裕度从66.81%提高
到了70.46%；叶片的固有频率、振型和共振裕度等没有明显变化，表明此优化算法可有效改善叶片的静强度和振动应力分布，且不
会对其他振动特性产生不利影响。 |
| 英文摘要: |
| In order to improve the static strength and vibration characteristics of aeroengine fan blades，the static stress and Strain
Energy Density（SED）index of fan blades were taken as the optimization objective. The influence of the circumferential configuration change
of the fan blade barycenter stack line on the blade performance of strength and vibration was analyzed by Kriging surrogate model and micro
population genetic algorithm. Taking the circumferential configuration of the blade barycenter stack line as the design parameters，the
parametric modeling of the fan blade，the automatic division of the finite element mesh and the finite element calculation were realized. An
integrated platform of“parametric modeling-finite element simulation- characteristics optimization of strength and vibration”for aeroengine
fan was established to optimize the design of a wide-chord fan blade. The results show that the high stress zone in the center of blade moves
to the tip after optimization，the high stress zone of the leading edge of the blade root is improved. The maximum static stress decreases by
5.45%，the SED index decreases by 5.94%，and the vibration stress margin of first order increases from 66.81% to 70.46% under the same
load. There is no obvious change in the natural frequency，vibration mode and resonance margin of the blade，which shows that the
optimization algorithm can effectively improve the static strength and vibration stress distribution of the blade，and will not have adverse
influence on other vibration characteristics. |
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