Cai Yi, Liu Zi-Feng, Zhao Tian-Yu, Yang Jie
School of Control Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China.
AVIC Xi'an Aircraft Industry Group Company Ltd., Xi'an 710089, China.
Materials (Basel). 2021 Sep 3;14(17):5033. doi: 10.3390/ma14175033.
This paper conducts a parameter interval uncertainty analysis of the internal resonance of a rotating porous shaft-disk-blade assembly reinforced by graphene nanoplatelets (GPLs). The nanocomposite rotating assembly is considered to be composed of a porous metal matrix and graphene nanoplatelet (GPL) reinforcement material. Effective material properties are obtained by using the rule of mixture and the Halpin-Tsai micromechanical model. The modeling and internal resonance analysis of a rotating shaft-disk-blade assembly are carried out based on the finite element method. Moreover, based on the Chebyshev polynomial approximation method, the parameter interval uncertainty analysis of the rotating assembly is conducted. The effects of the uncertainties of the GPL length-to-width ratio, porosity coefficient and GPL length-to-thickness ratio are investigated in detail. The present analysis procedure can give an interval estimation of the vibration behavior of porous shaft-disk-blade rotors reinforced with graphene nanoplatelets (GPLs).
本文对由石墨烯纳米片(GPL)增强的旋转多孔轴-盘-叶片组件的内共振进行了参数区间不确定性分析。该纳米复合旋转组件被认为由多孔金属基体和石墨烯纳米片(GPL)增强材料组成。通过使用混合法则和Halpin-Tsai微观力学模型获得有效材料性能。基于有限元法对旋转轴-盘-叶片组件进行建模和内共振分析。此外,基于切比雪夫多项式逼近方法,对旋转组件进行参数区间不确定性分析。详细研究了GPL长径比、孔隙率系数和GPL长厚比的不确定性影响。本文的分析过程可以给出石墨烯纳米片(GPL)增强的多孔轴-盘-叶片转子振动行为的区间估计。