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<p>This investigation says about design and development of electromechanical smart graphene nanoplatelet-doped polymer-matrix composite sensors. This article aims to monitor the crack propagation during fatigue loading in terms of piezo-resistivity and improved thermal signature by smart skin graphene nanoplatelet (GNP) spray coating in infrared thermography technique. Monitoring the crack propagation during fatigue loading in terms of piezo-resistivity and improved thermal signature by smart skin graphene nanoplatelet (GNPs) in Al 2024T351. The thermoelastic behaviour was evaluated in tensile-tensile fatigue loading, and during this dynamic loading, the surface temperature arising from the aluminium alloy-2024T351 specimen was considered. The improved temperature signal has been checked using an infrared thermography camera (SC 7000, FLIR) with graphene nanoplatelets (GNPs) sensor on the surface coating. The extended finite element method has been studied with Abaqus 6.12 to see the stress field pattern. This variation of stress field helps in entropy variation that varies the surface temperature pattern and is absorbed by graphene nanoplatelets. Fatigue testing was done upon defect and without defect specimens at 1&#xa0;Hz, 5&#xa0;Hz, 12&#xa0;Hz and 15&#xa0;Hz frequency loading. The reported gauge factor values (GF = 133 for 1.5 kΩ sensor) are unusually high and scientifically interesting for sensing fracture. In the analysis of intelligent sensing, the increment of change in temperature was observed. This SHM potential ability opens new possibilities for implementing the sensor in future with high-quality GNPs in a clean, straightforward way. Collectively, these statistical, physical, and durability-based analyses establish the 1500 Ω sensor as the most reliable and efficient configuration for high-performance piezoresistive strain sensing applications.</p>

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Design and development of electromechanical smart graphene nanoplatelet-doped polymer-matrix composite sensors for piezo-resistive sensing and fault diagnosis of aluminium 2024-T351

  • 期刊论文

  • 发表日期：

    2026年3月24日

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  • D. Sethy

摘要

This investigation says about design and development of electromechanical smart graphene nanoplatelet-doped polymer-matrix composite sensors. This article aims to monitor the crack propagation during fatigue loading in terms of piezo-resistivity and improved thermal signature by smart skin graphene nanoplatelet (GNP) spray coating in infrared thermography technique. Monitoring the crack propagation during fatigue loading in terms of piezo-resistivity and improved thermal signature by smart skin graphene nanoplatelet (GNPs) in Al 2024T351. The thermoelastic behaviour was evaluated in tensile-tensile fatigue loading, and during this dynamic loading, the surface temperature arising from the aluminium alloy-2024T351 specimen was considered. The improved temperature signal has been checked using an infrared thermography camera (SC 7000, FLIR) with graphene nanoplatelets (GNPs) sensor on the surface coating. The extended finite element method has been studied with Abaqus 6.12 to see the stress field pattern. This variation of stress field helps in entropy variation that varies the surface temperature pattern and is absorbed by graphene nanoplatelets. Fatigue testing was done upon defect and without defect specimens at 1 Hz, 5 Hz, 12 Hz and 15 Hz frequency loading. The reported gauge factor values (GF = 133 for 1.5 kΩ sensor) are unusually high and scientifically interesting for sensing fracture. In the analysis of intelligent sensing, the increment of change in temperature was observed. This SHM potential ability opens new possibilities for implementing the sensor in future with high-quality GNPs in a clean, straightforward way. Collectively, these statistical, physical, and durability-based analyses establish the 1500 Ω sensor as the most reliable and efficient configuration for high-performance piezoresistive strain sensing applications.