• English
  • Deutsch
  • Log In
    or
  • Research Outputs
  • Projects
  • Researchers
  • Institutes
  • Statistics
Repository logo
Fraunhofer-Gesellschaft
  1. Home
  2. Fraunhofer-Gesellschaft
  3. Konferenzschrift
  4. Numerical Modelling of Damage Initiation and Failure of Long Fibre-Reinforced Thermoplastics
 
  • Details
  • Full
Options
2017
  • Konferenzbeitrag

Titel

Numerical Modelling of Damage Initiation and Failure of Long Fibre-Reinforced Thermoplastics

Abstract
Characterising the mechanical properties of long fibre-reinforced thermoplastic (LFT) composites including failure is a challenging task. The macroscopic behaviour is generally associated with parameters like fibre orientation, volume fraction and length. A thorough understanding of the micromechanical mechanisms gets more and more important for describing macroscopic behaviour. Large aspect ratios (fibre length divided by fibre diameter) make it difficult to create numerical models of the random LFT microstructure since representative volume elements (RVE) that consider the microstructure in a cross section over the entire thickness lead to a large computational effort. Numerical explorations of selectively predetermined fibre constellations can reduce the model size. In addition, complex interface behaviour can be considered. Therefore a numerical study is performed to identify relevant parameters in micromechanical finite element models of a long fibre-reinforced thermoplastic composite. Different unit cell models of discontinuous fibres embedded in a polypropylene matrix are analysed numerically to identify major mechanisms related to damage and failure in relevant loading directions.
Author(s)
Schulenberg, L.
Sun, D.-Z.
Seelig, T.
Hauptwerk
Deformation and fracture behaviour of polymer materials
Konferenz
Discussion Conference on "Deformation and Fracture behaviour of Polymers" (PolyMerTec) 2014
Thumbnail Image
DOI
10.1007/978-3-319-41879-7_6
Language
Englisch
google-scholar
IWM
  • Cookie settings
  • Imprint
  • Privacy policy
  • Api
  • Send Feedback
© 2022