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Abstract
In the present work, cost-effective strain gauges were fabricated by using inkjet printing and photonic curing on flexible and recyclable PET substrates. Ohmic resistance (a.k.a. DC resistance) (R0) and complex electrical impedance (Z) as a function of test frequency were characterized, respectively, with the state-of-the-art electronic testing equipments. For the fabrication process, commercially available silver nanoparticle (AgNP) inks and substrates were used. In order to validate the in-house cantilever beam measurement setup and devices, first, commercially available metallic foil strain gauges (with the provided gauge factor GF=2.0 by the manufacturer) were tested at different locations. Thereafter, the printed strain gauges were investigated with several repetitions at different measurement locations. The measurement results demonstrated an affordable, rapid and tailorable design and repeatable fabrication approach for strain gauges with GFavg∼6.6, which has potential applications in remote sensing and structural monitoring applications.
| Original language | English |
|---|---|
| Pages (from-to) | 647-660 |
| Number of pages | 14 |
| Journal | Research on Engineering Structures and Materials |
| Volume | 7 |
| Issue number | 4 |
| DOIs | |
| Publication status | Published - 5 Dec 2021 |
| MoE publication type | A1 Journal article-refereed |
Funding
The authors gratefully acknowledge the funding from Academy of Finland BESIMAL project (decision number 334197). J.W. also acknowledges the funding from Jenny and Antti Wihuri Foundation. Besides, the authors acknowledge the technical assistance of Timi Lehtola and Juhapekka Hietala.
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
Keywords
- Impedance
- Monitoring and sensing technologies
- Printed electronics
- Strain gauges
Fingerprint
Dive into the research topics of 'Characterization of low-cost inkjet printed-photonic cured strain gauges for remote sensing and structural monitoring applications'. Together they form a unique fingerprint.Projects
- 1 Finished
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BESIMAL: Backscatter enabled sustainable monitoring Infrastructure for assisted living (BESIMAL)
Jäntti, R. (Principal investigator), Karakoc, A. (Project Member), Kerminen, J. (Project Member), Liao, J. (Project Member), Wiklund, J. (Project Member), Rimpiläinen, T. (Project Member), Xie, B. (Project Member) & Bai, Y. (Project Member)
01/09/2020 → 31/08/2024
Project: RCF Academy Project
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