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Low frequency accelerator sensorbased on piezoelectric ZnO nanorodsgrown by low temperaturescalable process: Low frequency accelerator sensor based on ZnO nanorods
Linköping University, Department of Science and Technology. Linköping University, Faculty of Science & Engineering.
Department of Physics, Faculty of Science, Royal University of Phnom Penh, Phnom Penh, Cambodia.
Linköping University, Department of Science and Technology, Physics and Electronics. Linköping University, Faculty of Science & Engineering.ORCID iD: 0000-0001-6235-7038
Linköping University, Department of Science and Technology, Physics and Electronics. Linköping University, Faculty of Science & Engineering.
2016 (English)In: Physica status solidi. A, Applied research, ISSN 0031-8965, E-ISSN 1521-396XArticle in journal (Refereed) Epub ahead of print
Abstract [en]

Piezoelectric vertically aligned zinc oxide (ZnO) nanorods (NRs) were grown by low temperature aqueous chemical approach and successfully used as a low frequency self-powered accelerator detector system. The nanogenerator (NG) device was tested under the influence of low frequency vibrations, different load masses, and finger prints pressure. The experimental results show relatively high sensitivity to frequencies as low as 5 Hz. This energy conversion device has produced a maximum output voltage of about 0.3 and 1.4 V under a frequency of 41 Hz and a mass of 1000 g, respectively. The fabricated NG can be used as an accelerator sensor with a good performance in the range from about 0.67 to 5.5 m s−2 with a sensitivity of 0.045 V s2 m−1. Furthermore, it has been demonstrated that the NG is able to harvest energy under finger-print scanning. The result from the finger-print pressure was consistent with the masses testing results. This energy-harvesting technology also provides a simple and cost-effective platform to capture low-frequency mechanical energy, i.e., body movements, and other applications like developing a sensitive finger print camera, etc.

Place, publisher, year, edition, pages
Wiley-Blackwell, 2016.
National Category
Nano Technology
Identifiers
URN: urn:nbn:se:liu:diva-128901DOI: 10.1002/pssa.201600142OAI: oai:DiVA.org:liu-128901DiVA: diva2:933719
Available from: 2016-06-07 Created: 2016-06-07 Last updated: 2016-06-10Bibliographically approved

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Nour, EimanChey, ChanWillander, MagnusNur, Omer
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