4.6 Article

Mechanical properties and failure mechanisms of composite laminates with classical fabric stacking patterns

Journal

JOURNAL OF MATERIALS SCIENCE
Volume 56, Issue 20, Pages 11814-11827

Publisher

SPRINGER
DOI: 10.1007/s10853-021-06073-z

Keywords

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Funding

  1. National Natural Science Foundation of China [51374070]
  2. Liaoning Revitalization Talents Program [XLYC1805007]
  3. China Post-doctoral Science Foundation [2019M661112]

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This study systematically investigated the mechanical properties and failure mechanisms of composite laminates with classical fabric stacking patterns. Results show that changing the stacking angle affects the tensile and bending properties, as well as the failure mode of the laminates. Finite element method simulations provide a cost-effective and efficient way for structural optimization design and failure prediction of composite materials.
In the design of composite materials, the properties and failure modes/mechanisms are always of the main concern. In this work, the mechanical properties and failure mechanisms of composite laminates with classical fabric stacking patterns ([(0, 90)](8) and [(0, 90)/(+/- 45)](4)) were systematically investigated through mechanical experiments and FEM (finite element method) numerical simulations. The results show that the tensile modulus and bending modulus of the laminates were reduced by 22.2% and 37% after partially changing the stacking angle to +/- 45 degrees, but corresponding elongation and bending displacement were increased by 8.8% and 11.7%, respectively. Bending failure mode changes from complete fracture to partial fracture. Meanwhile, the delamination damage and tow peeling from the matrix increase significantly. FEM simulations on tensile and bending processes of the composites indicate that the +/- 45 degrees stacking angle leads to the change of the axial stress direction from S-X (0 degrees) to S-Y (+/- 45 degrees), which is difficult to be observed from mechanical experiments. The FEM simulation provides a cost effective and efficient way for the structural visual optimization design and failure prediction of the actual composite materials.

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