Multi-purpose sensors using conductive Iono-elastomers
Abstract
A sensor module includes a first contact, a second contact, and a sensing element made from an iono-conductive material having a conductivity that varies at least in response to variations in an environmental factor. The sensing element is electrically coupled to the first contact and to the second contact, and a first resistance of the sensing element, measured between the first contact and the second contact, varies in response to the variations in the environmental factor.
- Inventors:
- Issue Date:
- Research Org.:
- Argonne National Laboratory (ANL), Argonne, IL (United States)
- Sponsoring Org.:
- USDOE
- OSTI Identifier:
- 1986924
- Patent Number(s):
- 11525842
- Application Number:
- 16/014,906
- Assignee:
- UChicago Argonne, LLC (Chicago, IL)
- DOE Contract Number:
- AC02-06CH11357
- Resource Type:
- Patent
- Resource Relation:
- Patent File Date: 06/21/2018
- Country of Publication:
- United States
- Language:
- English
Citation Formats
Xie, Yunsong, Yang, Hao-Cheng, and Gao, Kaizhong. Multi-purpose sensors using conductive Iono-elastomers. United States: N. p., 2022.
Web.
Xie, Yunsong, Yang, Hao-Cheng, & Gao, Kaizhong. Multi-purpose sensors using conductive Iono-elastomers. United States.
Xie, Yunsong, Yang, Hao-Cheng, and Gao, Kaizhong. Tue .
"Multi-purpose sensors using conductive Iono-elastomers". United States. https://www.osti.gov/servlets/purl/1986924.
@article{osti_1986924,
title = {Multi-purpose sensors using conductive Iono-elastomers},
author = {Xie, Yunsong and Yang, Hao-Cheng and Gao, Kaizhong},
abstractNote = {A sensor module includes a first contact, a second contact, and a sensing element made from an iono-conductive material having a conductivity that varies at least in response to variations in an environmental factor. The sensing element is electrically coupled to the first contact and to the second contact, and a first resistance of the sensing element, measured between the first contact and the second contact, varies in response to the variations in the environmental factor.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2022},
month = {12}
}
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