In this paper, a hybrid nanogenerator with concurrently harvested piezoelectric and triboelectric mechanisms, called a fully encapsulated piezoelectric-triboelectric hybrid nanogenerator (PTHG), is demonstrated. In the construction of piezoelectric nanogenerator (PENG), an in-situ poling near-field electrospinning (NFES) was utilized to direct-write piezoelectric polymeric nano/micro fibers (NMFs) polyvinylidene fluoride (PVDF) as the functional layer of piezoelectric nanogenerators. On the other hand, the nano-textured functional layer of triboelectric nanogenerators (TENGs) is also concurrently combined with PENG. This hybridized nanogenerator was demonstrated to simultaneously harvest piezoelectric and triboelectric output such that the superimposed peak output voltage /current signals of ~130 V/4 µA at 2 Hz, which can be translated to the area power density of 8.34 mW/m 2. Individually measured TENG under a hand-induced strain 0.2 and 2 Hz actuation, the output voltage/current peak is measured about 110 V/2.8 µA, while the PENG counterpart shows the the output voltage/current peak is about 18 V/0.6 µA. In addition, the proposed PTHG can harvest sustainable energy sources such as rain water with the output maximum voltage reaches ~20 V and area power density ~0.981 mW/m 2 for dropping rate of 10 ml/s. This research shows the substantial improvement in the synergy of nano-textured triboelectric and piezoelectric functional layers. The practical application of the self-powered system can be ubiquitously implemented in the sustainable energy sources and future industry 4.0 scenarios to provide the stand alone energy sources of IoT sensors.
Researchers have made a lot of effort for the lightweight and high flexibility of wearable electronic devices, which also requires the associated energy harvesting equipment to have ultra-thin thickness and high stretchability. Therefore, a piezoelectric-triboelectric hybrid self-powered sensor (PTHS) has been proposed which can be used as the second layer of the human body. This elastic PTHS can even work on a person’s fingers without disturbing the body’s movements. The open circuit voltage and short circuit current of devices with a projected area of 30 mm × 25 mm can reach 1.2 V and 30 nA, respectively. Two piezoelectrically-triboelectrically sensors with machine learning optimized identification strategies were experimentally proven as the potential applications of the PTHS. The PTHS’s ultra-thin thickness, high stretchability and superior geometry control features are promising in electronic skin, artificial muscle and soft robotics. The novelty of this work is that a smart mask integrated with PTHS can generate a signal of the hybrid sensor for the biomechanical motion classifier. After suitable training, an overall accuracy of 87.9% using long short-term memory can be achieved.
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