ScholarWorks@성균관대학교

초록

This study presents a hybrid electronic pressure sensor that integrates triboelectric and piezoelectric effects using nylon-6,6 and polyvinylidene fluoride (PVDF) fabrics embedded with MXene and MoS₂ nanosheets. The hybrid triboelectric nanogenerator (TENG) design addresses the fundamental trade-off between energy harvesting efficiency and pressure sensing performance found in single-mechanism sensors. By leveraging the high voltage output of the triboelectric effect at low pressures and the linear response of the piezoelectric effect to applied pressure, this sensor achieves a broad sensing range of up to 150 kPa, high sensitivity of 3.18 V/kPa, and an ultra-fast response time of 0.38 ms. The incorporation of MXene nanofillers enhances charge transport by forming conductive pathways within the polymer matrix, while the PVDF/MoS₂/MXene (PMMX) layer further improves frictional and piezoelectric responses. MXene's high electronegativity and MoS₂’s piezoelectric properties contribute to increased sensitivity and charge transfer efficiency. When tested on various body parts, the sensor effectively detects human motion and supports energy harvesting. Furthermore, integration with a one-dimensional convolutional neural network (1D-CNN) achieves 99.18 % accuracy in gesture classification, demonstrating its potential for smart wearable applications. By combining high efficiency, rapid response, broad sensing range, and machine learning compatibility, this hybrid sensor provides a versatile and sustainable solution for next-generation flexible and wearable electronics. © 2025 Elsevier Ltd

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