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Purpose <p>This research aims to develop aerospace wing panel composites with enhanced self-healing, damping, and thermal/electrical properties using a Nano-Engineered Filament Winding technique with Embedded Healing Microvascular Layers (NEW-HM). The aim is to optimize structural performance through advanced materials and data-driven modeling.</p> Methods <p>Composites were fabricated with a self-healing ionomer-epoxy matrix reinforced by Basalt Fiber Reinforced Polymer (BFRP) and multifunctional nanofillers including MXene, Boron Nitride Nanosheets (BNNS), and lead zirconate titanate (PZT) for vibration-assisted healing activation. Precision filament winding over contoured wing-shaped molds was followed by thermal curing under controlled vibration. Response Surface Methodology (Box-Behnken Design) evaluated the effects of nanoparticle concentration, vibration frequency, matrix composition, and winding tension on healing efficiency, interfacial bonding strength, surface roughness, and damping ratio. A hybrid deep learning framework combining Graph Neural Network (GNN), Shapley Additive Explanations (SHAP), and Random Forest regression (GNN-SHAP_RF) was used to analyze nonlinear relationships and quantify parameter influence.</p> Results <p>Results indicate that the optimal conditions obtaining maximum wing panel performance are, nanoparticle concentration 1.648 wt%, vibration 20 Hz, matrix ratio 0.6, winding tension 38.416 N; yielded a healing efficiency of 94.77%, interfacial strength 46 MPa, surface roughness 2.788 nm, and damping ratio 0.084. The hybrid GNN-SHAP_RF model outperformed conventional methods in predictive accuracy and interpretability. Vibration-assisted curing significantly improved healing efficiency and surface quality.</p> Conclusion <p>The proposed approach enables the design of durable, multifunctional aerospace composites with intelligent self-repair and adaptive functionalities, highlighting the synergistic effects of advanced materials, precision fabrication, and predictive modeling.</p>

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Design and Analysis of Vibration Enhanced Nano Engineered Aerospace Wing Panel Element based on Multifunctional Self-Healing Composites

  • 期刊论文

  • 发表日期：

    2025年10月20日

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  • D. Jayabalakrishnan,
  • S. Ravi,
  • V. Jayaseelan,
  • P Usha Rani

摘要

Purpose

This research aims to develop aerospace wing panel composites with enhanced self-healing, damping, and thermal/electrical properties using a Nano-Engineered Filament Winding technique with Embedded Healing Microvascular Layers (NEW-HM). The aim is to optimize structural performance through advanced materials and data-driven modeling.

Methods

Composites were fabricated with a self-healing ionomer-epoxy matrix reinforced by Basalt Fiber Reinforced Polymer (BFRP) and multifunctional nanofillers including MXene, Boron Nitride Nanosheets (BNNS), and lead zirconate titanate (PZT) for vibration-assisted healing activation. Precision filament winding over contoured wing-shaped molds was followed by thermal curing under controlled vibration. Response Surface Methodology (Box-Behnken Design) evaluated the effects of nanoparticle concentration, vibration frequency, matrix composition, and winding tension on healing efficiency, interfacial bonding strength, surface roughness, and damping ratio. A hybrid deep learning framework combining Graph Neural Network (GNN), Shapley Additive Explanations (SHAP), and Random Forest regression (GNN-SHAP_RF) was used to analyze nonlinear relationships and quantify parameter influence.

Results

Results indicate that the optimal conditions obtaining maximum wing panel performance are, nanoparticle concentration 1.648 wt%, vibration 20 Hz, matrix ratio 0.6, winding tension 38.416 N; yielded a healing efficiency of 94.77%, interfacial strength 46 MPa, surface roughness 2.788 nm, and damping ratio 0.084. The hybrid GNN-SHAP_RF model outperformed conventional methods in predictive accuracy and interpretability. Vibration-assisted curing significantly improved healing efficiency and surface quality.

Conclusion

The proposed approach enables the design of durable, multifunctional aerospace composites with intelligent self-repair and adaptive functionalities, highlighting the synergistic effects of advanced materials, precision fabrication, and predictive modeling.