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Toward Enhanced Humidity Stability of Triboelectric Mechanical Sensors via Atomic Layer Deposition.
Kim, Wook; Yasmeen, Sumaira; Nguyen, Chi Thang; Lee, Han-Bo-Ram; Choi, Dukhyun.
Afiliação
  • Kim W; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin 17104, Korea.
  • Yasmeen S; Department of Materials Science and Engineering, Incheon National University, Incheon 22012, Korea.
  • Nguyen CT; Department of Materials Science and Engineering, Incheon National University, Incheon 22012, Korea.
  • Lee HB; Department of Materials Science and Engineering, Incheon National University, Incheon 22012, Korea.
  • Choi D; Department of Mechanical Engineering (Integrated Engineering Program), Kyung Hee University, Yongin 17104, Korea.
Nanomaterials (Basel) ; 11(7)2021 Jul 09.
Article em En | MEDLINE | ID: mdl-34361180
ABSTRACT
Humid conditions can disrupt the triboelectric signal generation and reduce the accuracy of triboelectric mechanical sensors. This study demonstrates a novel design approach using atomic layer deposition (ALD) to enhance the humidity resistance of triboelectric mechanical sensors. Titanium oxide (TiOx) was deposited on polytetrafluoroethylene (PTFE) film as a moisture passivation layer. To determine the effective ALD process cycle, the TiOx layer was deposited with 100 to 2000 process cycles. The triboelectric behavior and surface chemical bonding states were analyzed before and after moisture exposure. The ALD-TiOx-deposited PTFE showed three times greater humidity stability than pristine PTFE film. Based on the characterization of TiOx on PTFE film, the passivation mechanism was proposed, and it was related to the role of the oxygen-deficient sites in the TiOx layer. This study could provide a novel way to design stable triboelectric mechanical sensors in highly humid environments.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Ano de publicação: 2021 Tipo de documento: Article