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复合材料参数化桨叶的动力学减振优化设计
引用本文:陈琨,刘勇,张呈林,倪先平.复合材料参数化桨叶的动力学减振优化设计[J].航空动力学报,2014,29(8):1953-1960.
作者姓名:陈琨  刘勇  张呈林  倪先平
作者单位:南京航空航天大学 航空宇航学院 直升机旋翼动力学国家级重点实验室, 南京 210016;南京航空航天大学 航空宇航学院 直升机旋翼动力学国家级重点实验室, 南京 210016;南京航空航天大学 航空宇航学院 直升机旋翼动力学国家级重点实验室, 南京 210016;南京航空航天大学 航空宇航学院 直升机旋翼动力学国家级重点实验室, 南京 210016
基金项目:江苏高校优势学科建设工程资助项目
摘    要:为了进行桨叶动力学优化设计,建立面向工程设计的复合材料多闭室C型梁桨叶剖面参数化模型,实现了桨叶剖面气动外形、内部结构组件、复合材料铺层设计的参数化,并提出了一种保持C型梁纤维面积恒定的参数化设计方法.采用全局寻优能力较强的多种群遗传算法(MPGA),集成参数化设计模型与旋翼有限元气动弹性综合分析模型,通过桨叶各剖面结构组件的参数优化实现了旋翼动力学减振.算例给出了"海豚"直升机桨叶剖面特性实测值与参数化桨叶模型计算值的对比,整体误差不超过3%,并用该参数化模型对桨叶进行动力学减振优化,实现了旋翼加权优化振动载荷系数减小4.15%,经过优化后桨叶的配重位置更加分散,有利于缓解桨叶内部应力/应变突变;而且部分配重分配到桨尖,提高了旋翼的自转惯量,增加了旋翼自转下滑的安全性.

关 键 词:减振优化  旋翼气动弹性动力学  复合材料桨叶  翼型参数化建模  多种群遗传算法
收稿时间:2013/4/13 0:00:00

Vibration reduction optimization design for parameterized composite blade
CHEN Kun,LIU Yong,ZHANG Cheng-lin and NI Xian-ping.Vibration reduction optimization design for parameterized composite blade[J].Journal of Aerospace Power,2014,29(8):1953-1960.
Authors:CHEN Kun  LIU Yong  ZHANG Cheng-lin and NI Xian-ping
Institution:National Key Laboratory of Rotorcraft Aeromechanics, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;National Key Laboratory of Rotorcraft Aeromechanics, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;National Key Laboratory of Rotorcraft Aeromechanics, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China;National Key Laboratory of Rotorcraft Aeromechanics, College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China
Abstract:For blade dynamics optimization design, a parametrization model of composite multi-cell C-type blade section was estabished for engineering design. The parameterized design of aerodynamic shape of the blade section, the internal structure of components and composite material layer was implemented, and a parameterized method capable of maintaining a constant C-type beam fiber area was presented. Then in combination with the composite blade parameterization model and aero-elastic analysis model, the optimal parameters of blade sections could be obtained to reduce the hub vibration via the optimal process based on multi-population genetic algorithm(MPGA). The "Dolphin" helicopter's blade profile modeling and performance calculation contrasts were given, with total error less than 3%. With use of the blade parameterization model of blade for rotor dynamic optimization, the results show that the rotor's weighted optimizaton vibration load coefficient decreases by 4.15%, and the balance weight of blade is more smooth after optimization, helping to ease the blade internal stress/strain mutation; some balance weight assigned to the blade tip can increase the rotation inertia of the rotor, and improve the safety for autorotative glide.
Keywords:vibration reduction optimization  aero-elastic rotor dynamics  composite blade  blade parametrization model  multi-population genetic algorithm(MPGA)
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