• 文献标题:   Enhancement of buckling response of stainless steel-based 3D-fiber metal laminates reinforced with graphene nanoplatelets: Experimental and numerical assessments
  • 文献类型:   Article
  • 作  者:   YAGHOOBI H, MOTTAGHIAN F, TAHERI F
  • 作者关键词:   graphene nanoplatelets gnps, basalt fabric, stainless steel, buckling analysi, microstructural analysi, finite element simulation, threedimensional fiber metal laminates 3dfmls
  • 出版物名称:   THINWALLED STRUCTURES
  • ISSN:   0263-8231 EI 1879-3223
  • 通讯作者地址:  
  • 被引频次:   7
  • DOI:   10.1016/j.tws.2021.107977 EA MAY 2021
  • 出版年:   2021

▎ 摘  要

This research investigates the effects of the inclusion of graphene nanoplatelets (GNPs) on the buckling response of a set of novel three-dimensional fiber metal laminates (3D-FMLs) under a uniaxial compressive load. This special 3D-FML consists of a 3D fiberglass fabric (3DFGF)-epoxy composite hybridized with basalt-epoxy laminate with their resin containing different concentrations of GNPs (0.25, 0.5, and 1.0 wt%), sandwiched between stainless steel (SS) face-sheet with different thicknesses (0.3 mm and 0.48 mm). To further enhance the response of the 3D-FMLs, the cavities of their 3D fabric are filled with two-part low- and high-density liquid polyurethane foam. The main objective is to develop a lightweight and resilient hybrid material system with a competitive cost. In addition, the response of the 3D-FMLs is simulated numerically using LS-DYNA, a commercially available finite element (FE) software. The results produced by the FE models are in good agreement with those obtained experimentally. Moreover, a parametric numerical study is carried out to assess the influence of SS thicknesses and specimen gauge lengths on the buckling response of this hybrid system. The results indicate that a combination of high-density polyurethane foam with 0.25 wt% of GNP content produces the highest buckling capacity, cost-effectively. The microstructural analysis using the field emission scanning electron microscopy (FESEM) technique would also exhibit the distribution and agglomeration of GNPs within the core of 3D-FMLs.