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Surface Textures for Stretchable Cap...
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Liu, Han.
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Surface Textures for Stretchable Capacitive Strain Sensors.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Surface Textures for Stretchable Capacitive Strain Sensors./
作者:
Liu, Han.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2020,
面頁冊數:
40 p.
附註:
Source: Masters Abstracts International, Volume: 82-01.
Contained By:
Masters Abstracts International82-01.
標題:
Civil engineering. -
電子資源:
https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=27837622
ISBN:
9798662372092
Surface Textures for Stretchable Capacitive Strain Sensors.
Liu, Han.
Surface Textures for Stretchable Capacitive Strain Sensors.
- Ann Arbor : ProQuest Dissertations & Theses, 2020 - 40 p.
Source: Masters Abstracts International, Volume: 82-01.
Thesis (M.S.)--Iowa State University, 2020.
This item must not be sold to any third party vendors.
Advances in smart materials and electronics have enabled compliant sensing systems mimicking nature. In structural health monitoring (SHM) applications, the technology still lacks accuracy in tracking measurements over large geometries. Herein we report a facile fabrication for a compliant sensor based on an elastomeric capacitive sensor technology, augmented with a scalable surface texture inspired by various grid geometries. Texture designs are selected to direct, and therefore improve, the strain sensing capabilities and thus the sensor's gauge factor. We showcase selected designs based on an a detailed engineering analysis. The selected surface patterns are investigated under increasing strain targets and strain frequency sweeps. Results confirm that a stretchable thermoplastic composite sensor with a textured pattern embossed into the hyper-elastic matrix yields approximately 30% increase in the gauge factor and 35% in signal accuracy, great linearity up to 30% strain, and overall signal stability to empower SHM applications.
ISBN: 9798662372092Subjects--Topical Terms:
860360
Civil engineering.
Subjects--Index Terms:
Sensing skin
Surface Textures for Stretchable Capacitive Strain Sensors.
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Advances in smart materials and electronics have enabled compliant sensing systems mimicking nature. In structural health monitoring (SHM) applications, the technology still lacks accuracy in tracking measurements over large geometries. Herein we report a facile fabrication for a compliant sensor based on an elastomeric capacitive sensor technology, augmented with a scalable surface texture inspired by various grid geometries. Texture designs are selected to direct, and therefore improve, the strain sensing capabilities and thus the sensor's gauge factor. We showcase selected designs based on an a detailed engineering analysis. The selected surface patterns are investigated under increasing strain targets and strain frequency sweeps. Results confirm that a stretchable thermoplastic composite sensor with a textured pattern embossed into the hyper-elastic matrix yields approximately 30% increase in the gauge factor and 35% in signal accuracy, great linearity up to 30% strain, and overall signal stability to empower SHM applications.
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