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March 19, 2026Journal of Reinforced Plastics and Composites0 citations

Design and analysis of simulated ice for a civil aircraft airfoil

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XLXiang LiGCGuohui ChangDCDeng’an Cai

Key Points

  • This research aims to develop reliable simulated ice models for evaluating the performance of civil aircraft under icing conditions.
  • Utilized a 3D-printed sandwich composite for replicating ice shapes.
  • Conducted computational fluid dynamics simulations to assess aerodynamic effects.
  • Developed a finite element model to evaluate structural integrity with specific failure criteria.
  • Leading-edge ice accretion reduced maximum lift coefficient by 24.1% at 0.4 Ma.
  • Stall angle was advanced by 2° due to premature flow separation.
  • Simulated ice showed negligible deformation of less than 0.2% of the chord length.

Abstract

Natural icing flight tests are costly and risky, necessitating reliable simulated ice models for airworthiness certification. This study presents a novel approach utilizing a 3D-printed sandwich composite (UV-curable resin core with GFRP skins) to replicate critical ice shapes for dry air flight testing. Computational fluid dynamics (CFD) simulations quantified the aerodynamic degradation, revealing that leading-edge ice accretion reduces the maximum lift coefficient by 24.1% at 0.4 Ma and advances the stall angle by 2° due to premature flow separation. A finite element model incorporating cohesive zone elements and the Tsai–Wu failure criterion was developed to assess the structural integrity of the simulated ice. The results indicate that the simulated ice exhibits negligible deformation (less than 0.2% of the chord length) while maintaining sufficient safety margins under aerodynamic loading, which is accurately mapped to structural nodes using the inverse-distance weighting interpolation method. This study provides a feasible implementation scheme for dry air flight test with simulated ice, offering high safety reliability while fully complying with airworthiness requirements.

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Cite This Study

Li et al. (2026) studied this question.

synapsesocial.com/papers/69bb92f2496e729e62980acahttps://doi.org/10.1177/07316844261435073
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Also Consider

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