• 文献标题:   Parameter Interval Uncertainty Analysis of Internal Resonance of Rotating Porous Shaft-Disk-Blade Assemblies Reinforced by Graphene Nanoplatelets
  • 文献类型:   Article
  • 作  者:   CAI Y, LIU ZF, ZHAO TY, YANG J
  • 作者关键词:   shaftdiskblade assembly, chebyshev polynomial approximation method, interval uncertainty, graphene nanoplatelet, porosity
  • 出版物名称:   MATERIALS
  • ISSN:  
  • 通讯作者地址:  
  • 被引频次:   4
  • DOI:   10.3390/ma14175033
  • 出版年:   2021

▎ 摘  要

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).