AI Article Synopsis
- Wearable energy harvesters and sensors are gaining popularity due to advances in AI and IoT, but their effectiveness is limited by the thin-film materials used in their construction.
- Researchers embedded lead-free bismuth titanate-barium titanate nanoparticles and nanofibers into PVDF nanofibers to improve their electromechanical performance, which is crucial for flexible pressure sensors.
- The study shows that this combination results in a six-fold increase in output voltage for the sensors, marking significant improvements and offering insights into the mechanisms behind this enhancement.
Article Abstract
Wearable energy harvesters and sensors have recently attracted significant attention with the rapid development of artificial intelligence and the Internet of Things (IoT). Compared to high-output bulk materials, these wearable devices are mainly fabricated by thin-film-based materials that limit their application. Therefore, the enhancement of output voltage and power for these devices has recently become an urgent topic. In this paper, the lead-free bismuth titanate-barium titanate (0.93(NaBi)TiO-0.07BaTiO(BNBT)) nanoparticles and nanofibers were embedded into the PVDF nanofibers. They produced high inorganic electrical voltage coefficients, high electromechanical coupling coefficients, and environmentally friendly properties that enhance the electromechanical performance of pure PVDF nanofibers, and they are all the critical requirements for modern flexible pressure sensors. In detail, PVDF and PVDF-based composites nanofibers were prepared by electrospinning, and different flexible sandwich composite devices were fabricated by the PDMS encapsulation method. As a result, the six-time enhancement maximum output voltage was obtained in a PVDF-BNBT (fiber)-based composite sensor compared to the pure PVDF one. Our results indicate that the output voltage of the pressure sensors has been significantly enhanced, and the development gate is enabled by analyzing the related physical process and influence mechanism.
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911346 | PMC |
| http://dx.doi.org/10.3390/ma15051769 | DOI Listing |
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