Spongy Ag Foam for Soft and Stretchable Strain Gauges
- Authors
- Hong, Seokkyoon; Zhang, Haozhe; Lee, Junsang; Yu, Tianhao; Cho, Seungse; Park, Taewoong; Walsh, Julia; Ji, Yuhyun; Kim, Joshua Jeremiah; Lee, Hyowon; Kim, Dong Rip; Xu, Baoxing; Lee, Chi Hwan
- Issue Date
- May-2024
- Publisher
- American Chemical Society
- Keywords
- nanowires; spongy foam; steam etching; strain gauge; wearable sensors
- Citation
- ACS Applied Materials & Interfaces, v.16, no.20, pp 26613 - 26623
- Pages
- 11
- Indexed
- SCIE
SCOPUS
- Journal Title
- ACS Applied Materials & Interfaces
- Volume
- 16
- Number
- 20
- Start Page
- 26613
- End Page
- 26623
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/197348
- DOI
- 10.1021/acsami.4c04719
- ISSN
- 1944-8244
1944-8252
- Abstract
- Strain gauges, particularly for wearable sensing applications, require a high degree of stretchability, softness, sensitivity, selectivity, and linearity. They must also steer clear of challenges such as mechanical and electrical hysteresis, overshoot behavior, and slow response/recovery times. However, current strain gauges face challenges in satisfying all of these requirements at once due to the inevitable trade-offs between these properties. Here, we present an innovative method for creating strain gauges from spongy Ag foam through a steam-etching process. This method simplifies the traditional, more complex, and costly manufacturing techniques, presenting an eco-friendly alternative. Uniquely, the strain gauges crafted from this method achieve an unparalleled gauge factor greater than 8 × 103 at strains exceeding 100%, successfully meeting all required attributes without notable trade-offs. Our work includes systematic investigations that reveal the intricate structure-property-performance relationship of the spongy Ag foam with practical demonstrations in areas such as human motion monitoring and human-robot interaction. These breakthroughs pave the way for highly sensitive and selective strain gauges, showing immediate applicability across a wide range of wearable sensing applications.
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