4.4 Article

Predicting consolidation-induced wrinkles and their effects on composites structural performance

期刊

INTERNATIONAL JOURNAL OF MATERIAL FORMING
卷 13, 期 6, 页码 907-921

出版社

SPRINGER FRANCE
DOI: 10.1007/s12289-019-01514-2

关键词

Manufacturing simulation; Failure analysis; Wrinkles; Toughened prepreg

资金

  1. EPSRC Centre for Innovative Manufacturing in Composites EPSRC project Defect Generation Mechanisms in Thick and Variable Thickness Composite Parts - Understanding, Predicting and Mitigation (DefGen) [EP/I033513/1]
  2. EPSRC platform grant SIMulation of new manufacturing PROcesses for Composite Structures (SIMPROCS) [EP/P027350/1]
  3. EPSRC [EP/I033513/1, EP/P027350/1] Funding Source: UKRI

向作者/读者索取更多资源

The majority of high-performance composite parts are nowadays designed using advanced numerical simulations that are able to accurately predict a part's strength and deformation, providing that the internal ply architecture and exact fibre orientation are known with sufficient accuracy. However, most parts have some deviation of the fibre orientation from the 'as-designed' geometry, leading to the simulation overestimating the component's strength. Up until recently, the advancement of the process simulation tools has not been sufficient to allow knowledge of this fibre deviation before any part has been manufactured, thus leading to overly conservative designs and costly experimental optimisation of the manufacturing process to reduce fibre path defects. This results in additional cost, waste of material and increased fuel consumption (due to the unnecessary weight of the components). This paper shows how state-of-the-art composite manufacturing simulations of the autoclave consolidation process can predict and help to mitigate against out-of-plane wrinkle formation in components made from toughened UD prepregs and thus raise confidence in failure analyses predictions. The industry relevant case of a stepped laminate is used as an example. Model predictions for the internal ply geometries are quantitatively compared to micrograph images of real samples. It is then shown how the input of the simulated ply architecture helps improving the accuracy of the failure simulations.

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