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Coupled free vibration of a functionally graded pre-twisted blade-shaft system reinforced with graphene nanoplatelets

机译:用石墨烯纳米盖型加固的功能梯度预扭曲刀片轴系统的自由振动

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摘要

The free vibration of a rotating functionally graded (FG) pre-twisted blade-shaft assembly reinforced with graphene nanoplatelets (GPLs) is analytically investigated based on the coupled model proposed in this paper. The effective material properties of the blade and shaft are assumed to vary continuously along their thickness and radius directions, respectively, and are determined by Halpin-Tsai micromechanics model and the rule of mixture. Within the framework of the Rayleigh beam theory and Euler-Bernoulli beam theory, the governing equations of motion are derived by using Lagrange's equation. The substructure synthesis method and assumed modes method are utilized to determine the natural frequencies of the system. A comprehensive parametric study is conducted to examine the effects of GPL weight fraction, distribution pattern, geometry and dimensions as well as the blade length, location and pre-twist angle, the shaft length and rotating speed on the natural frequencies. The research findings shed an important light on the design of novel graphene reinforced blade-shaft system for remarkably improved dynamic performance.
机译:基于本文提出的耦合模型,分析了用石墨烯纳米片(GPLS)加强的旋转功能梯度(FG)预扭曲叶片组件的自由振动。假设叶片和轴的有效材料特性分别沿其厚度和半径方向连续变化,并且通过Halpin-Tsai微机械模型和混合物的规则确定。在瑞利光束理论和Euler-Bernoulli光束理论的框架内,通过使用拉格朗日的等式来源的动作方程。使用子结构合成方法和假设模式方法来确定系统的自然频率。进行综合参数研究以检查GPL重量分数,分配图案,几何形状和尺寸以及叶片长度,位置和预捻角度,轴长度和自然频率的旋转速度的影响。研究结果揭示了新型石墨烯增强刀片轴系统的设计,可显着提高动态性能。

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