Mesostructural simulation of discontinuous prepreg platelet based carbon fibre sheet moulding compounds informed by X-ray computed tomography

  • Philipp Stelzer (Speaker)
  • Bernhard Plank (Speaker)
  • Major, Z. (Speaker)

Activity: Talk or presentationContributed talkscience-to-science

Description

Discontinuous prepreg platelet based carbon fibre sheet moulding compound (CF-SMC) materials offer huge potential for lightweight applications in the automotive industry. The composition of these materials and the flow behaviour during compression moulding result in a complex stochastic mesostructure, which presents a challenge in the modelling of the mechanical behaviour. The objective of the current work is to use the information obtained from multiscale X-ray computed tomography (XCT) scans to generate full-scale three- dimensional finite element models of tensile coupon specimens for the prediction of the elastic modulus. The models incorporate the stochastic distribution and discontinuous nature of the prepreg plate-lets. Defects such as porosity, resin-rich areas and fibre waviness can be observed by means of XCT. Porosity is found to be below 0.0076 vol.% and thus negligible. An average volume fraction of 6.48 vol.% of interlaminar resin-rich areas is considered in the mesostructural simu-lations. The predicted values of the tensile modulus are validated by experimental tensile tests on basis of a large series of specimens. The statistical analysis of variance methodology is employed to reach conclusive validation. The inherent stochasticity of prepreg platelet based CF-SMC materials is well captured with the proposed mesos-tructural simulation approach and the variability in their mechanical properties is accurately predicted.
Period04 Feb 2020
Event title10th Conference on Industrial Computed Tomography
Event typeConference
LocationAustriaShow on map

Fields of science

  • 205 Materials Engineering
  • 205015 Composites
  • 211912 Product design
  • 604008 Design
  • 104019 Polymer sciences

JKU Focus areas

  • Digital Transformation
  • Sustainable Development: Responsible Technologies and Management