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Multiphysics mechanism analysis and prediction of wrinkle defects in automated fiber placement of thermoplastic prepregs

  • Bingyi Lv
  • , Bo Wang
  • , Yuhang Zhou
  • , Junwei Xie
  • , Yan Liang
  • , Shiyu Wang
  • , Lihua Wen
  • , Xiao Hou
  • Northwestern Polytechnical University Xian
  • China Aerospace Science and Technology Corporation

Research output: Contribution to journalArticlepeer-review

Abstract

Wrinkle defects frequently arise during automated fiber placement of thermoplastic composites due to inadequate process design, with prepreg buckling instability as a defining feature. In this paper, a defect prediction framework integrating multiple deformation mechanisms was constructed to simulate wrinkle formation during automated fiber placement. A hypoelastic constitutive model was developed to capture the mechanical response of unidirectional thermoplastic prepreg. The formation mechanisms of wrinkles under varying temperatures and steering radii were investigated, and the predictive capability of the model was validated experimentally. Wrinkle defects were attributed to mechanical instabilities driven by the interplay of deformation mechanisms, evolving through a dynamic process of shear compensation followed by buckling instability. Experimental and simulation results demonstrated that, as the temperature increased, in-plane shear deformation became the dominant mechanism, dissipating part of the compressive strain energy and thereby mitigating axial buckling. Wrinkle formation was fundamentally driven by axial compression induced by placement trajectory curvature. With reduced steering radii, bending progressively became the prevailing mechanism, while interlaminar bonding was insufficient to restrict fiber motion or accommodate it through shear. The localized accumulation of compressive strain energy subsequently triggered prepreg buckling, resulting in the formation of wrinkle defects.

Original languageEnglish
Article number120240
JournalComposite Structures
Volume385
DOIs
StatePublished - 1 Jun 2026
Externally publishedYes

Keywords

  • Automatedfiber placement
  • CF/PEEK thermoplastic prepreg
  • Defects prediction
  • Deformation mechanism

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