Enhanced Energy Harvesting In Pvdf/Zno Nanogenerators: A Comparative Investigation Of Fabrication Methods
This work created a high-performance nanogenerator based on zinc oxide (ZnO) and polyvinylidene fluoride (PVDF) nanoparticles using three different production techniques: spin coating, electrospinning, and, centrifugal spinning. The electrical output created under mechanical stress was monitored and examined in order to assess the effectiveness of the various production techniques. First, a baseline performance of power density $0.261 \mu \text{W} / \text{cm}^{2}$ under hand press and $0.313 \mu \text{W} / \text{cm}^{2}$ utilizing a hitting machine was obtained for centrifugal spinning fabrication technique with pure PVDF nanogenerators. A notable rise in the voltage produced was noted upon the incorporation of ZnO nanoparticles into the PVDF matrix during centrifugal spinning processing. The centrifugally spun PVDF/ZnO samples had a power density of $0.469 \mu \text{W} / \text{cm}^{2}$ when using a hand press and $0.609 \mu \text{W} / \text{cm}^{2}$ when using a hitting machine. Under the same circumstances, the samples created by electrospinning likewise demonstrated enhanced performance, with power densities of 0.393 $\mu \text{W} / \text{cm}^{2}$ and $0.581 \mu \text{W} / \text{cm}^{2}$ respectively while spin coating techniques produce lower power densities of 0.118 $\mu \text{W} / \text{cm}^{2}$ and $0.123 \mu \text{W} / \text{cm}^{2}$ respectively. Fourier-transform infrared (FTIR) analysis, scanning electron microscopy (SEM), and x-ray diffraction (XRD) were used to thoroughly assess the nanogenerators. Among the three techniques, centrifugal spinning demonstrated superior piezoelectric output, with enhanced electrical generation.
Authors
- Bong-Hwan Kim (ORCID: https://orcid.org/0000-0003-1679-5226)
- Wolyoung Kim
- Seokyu Kim
- Jeongmin Ha (ORCID: https://orcid.org/0000-0002-3908-2678)
- Hyeji Lee
- Sangho Kim (ORCID: https://orcid.org/0000-0003-0599-289X)
- Md. Jahirul Islam (ORCID: https://orcid.org/0000-0003-2330-0244)
- Subin Lee (ORCID: https://orcid.org/0000-0001-9856-7758)
- Yejin Kwon (ORCID: https://orcid.org/0009-0007-3656-9396)
- Kihak Lee
Institutions
- Daegu Catholic University (KR)
Publication Details
- Published
- 2024-11-18
- DOI
- https://doi.org/10.1109/powermems63147.2024.10814159
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation of Korea