Pretražite po imenu i prezimenu autora, mentora, urednika, prevoditelja

Napredna pretraga

Pregled bibliografske jedinice broj: 1153018

Experimental Characterization of Optimized Piezoelectric Energy Harvesters for Wearable Sensor Networks


Gljušćić, Petar; Zelenika, Saša
Experimental Characterization of Optimized Piezoelectric Energy Harvesters for Wearable Sensor Networks // Sensors, 21 (2021), 21; 7042, 25 doi:10.3390/s21217042 (međunarodna recenzija, članak, znanstveni)


CROSBI ID: 1153018 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Experimental Characterization of Optimized Piezoelectric Energy Harvesters for Wearable Sensor Networks

Autori
Gljušćić, Petar ; Zelenika, Saša

Izvornik
Sensors (1424-8220) 21 (2021), 21; 7042, 25

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
piezoelectric energy harvesters ; medical sensor networks ; DoE ; frequency up-conversion ; optimized geometry ; FE numerical modelling ; experimental assessment

Sažetak
The development of wearable devices and remote sensor networks progressively relies on their increased power autonomy, which can be further expanded by replacing conventional power sources, characterized by limited lifetimes, with energy harvesting systems. Due to its pervasiveness, kinetic energy is considered as one of the most promising energy forms, especially when combined with the simple and scalable piezoelectric approach. The integration of piezoelectric energy harvesters, generally in the form of bimorph cantilevers, with wearable and remote sensors, highlighted a drawback of such a configuration, i.e., their narrow operating bandwidth. In order to overcome this disadvantage while maximizing power outputs, optimized cantilever geometries, developed using the design of experiments approach, are analysed and combined in this work with frequency up-conversion excitation that allows converting random kinetic ambient motion into a periodical excitation of the harvester. The developed optimised designs, all with the same harvesters’ footprint area of 23 × 15 mm, are thoroughly analysed via coupled harmonic and transient numerical analyses, along with the mostly neglected strength analyses. The models are validated experimentally via innovative experimental setups. The thus-proposed f = 50 mm watch-like prototype allows, by using a rotating flywheel, the collection of low-frequency (ca. 1 to 3 Hz) human kinetic energy, and the periodic excitation of the optimized harvesters that, oscillating at their eigenfrequencies (~325 to ~930 Hz), display specific power outputs improved by up to 5.5 times, when compared to a conventional rectangular form, with maximal power outputs of up to >130 mW and average power outputs of up to >3 mW. These power levels should amply satisfy the requirements of factual wearable medical systems, while providing also an adaptability to accommodate several diverse sensors. All of this creates the preconditions for the development of novel autonomous wearable devices aimed not only at sensor networks for remote patient monitoring and telemedicine, but, potentially, also for IoT and structural health monitoring.

Izvorni jezik
Engleski

Znanstvena područja
Strojarstvo, Temeljne tehničke znanosti, Interdisciplinarne tehničke znanosti



POVEZANOST RADA


Projekti:
NadSve-uniri-tehnic-18-32 - Inovativne mehatroničke konstrukcije za pametna tehnološka rješenja (Zelenika, Saša, NadSve - Natječaj za dodjelu sredstava potpore znanstvenim istraživanjima na Sveučilištu u Rijeci za 2018. godinu - projekti iskusnih znanstvenika i umjetnika) ( CroRIS)

Ustanove:
Tehnički fakultet, Rijeka,
Sveučilište u Rijeci

Profili:

Avatar Url Saša Zelenika (autor)

Avatar Url Petar Gljušćić (autor)

Poveznice na cjeloviti tekst rada:

Pristup cjelovitom tekstu rada doi www.mdpi.com

Citiraj ovu publikaciju:

Gljušćić, Petar; Zelenika, Saša
Experimental Characterization of Optimized Piezoelectric Energy Harvesters for Wearable Sensor Networks // Sensors, 21 (2021), 21; 7042, 25 doi:10.3390/s21217042 (međunarodna recenzija, članak, znanstveni)
Gljušćić, P. & Zelenika, S. (2021) Experimental Characterization of Optimized Piezoelectric Energy Harvesters for Wearable Sensor Networks. Sensors, 21 (21), 7042, 25 doi:10.3390/s21217042.
@article{article, author = {Glju\v{s}\'{c}i\'{c}, Petar and Zelenika, Sa\v{s}a}, year = {2021}, pages = {25}, DOI = {10.3390/s21217042}, chapter = {7042}, keywords = {piezoelectric energy harvesters, medical sensor networks, DoE, frequency up-conversion, optimized geometry, FE numerical modelling, experimental assessment}, journal = {Sensors}, doi = {10.3390/s21217042}, volume = {21}, number = {21}, issn = {1424-8220}, title = {Experimental Characterization of Optimized Piezoelectric Energy Harvesters for Wearable Sensor Networks}, keyword = {piezoelectric energy harvesters, medical sensor networks, DoE, frequency up-conversion, optimized geometry, FE numerical modelling, experimental assessment}, chapternumber = {7042} }
@article{article, author = {Glju\v{s}\'{c}i\'{c}, Petar and Zelenika, Sa\v{s}a}, year = {2021}, pages = {25}, DOI = {10.3390/s21217042}, chapter = {7042}, keywords = {piezoelectric energy harvesters, medical sensor networks, DoE, frequency up-conversion, optimized geometry, FE numerical modelling, experimental assessment}, journal = {Sensors}, doi = {10.3390/s21217042}, volume = {21}, number = {21}, issn = {1424-8220}, title = {Experimental Characterization of Optimized Piezoelectric Energy Harvesters for Wearable Sensor Networks}, keyword = {piezoelectric energy harvesters, medical sensor networks, DoE, frequency up-conversion, optimized geometry, FE numerical modelling, experimental assessment}, chapternumber = {7042} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus
  • MEDLINE


Uključenost u ostale bibliografske baze podataka::


  • Compendex (EI Village)
  • EMBASE (Excerpta Medica)
  • INSPEC
  • Gale
  • ANVUR
  • CABI
  • CAB Direct
  • CAPlus / SciFinder
  • CNKI
  • CLOCKSS
  • dblp Computer Science Bibliography
  • DOAJ
  • EBSCO
  • Electronic Journals Library
  • Google Scholar
  • Helveticat
  • IndexCopernicus
  • Essential Science Indicators / InCites
  • J-Gate
  • JCR
  • Norwegian Register
  • NLM
  • ProQuest
  • JUFO
  • Research4Life
  • SCImago
  • Sherpa Romeo
  • WorldCat


Citati:





    Contrast
    Increase Font
    Decrease Font
    Dyslexic Font