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- QIAO Xiangyu
- Department of Finemechanics, Graduate School of Engineering, Tohoku University
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- ZHANG Qinqiang
- Department of Finemechanics, Graduate School of Engineering, Tohoku University
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- SUZUKI Ken
- Fracture and Reliability Research Institute, Graduate School of Engineering, Tohoku University
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- MIURA Hideo
- Fracture and Reliability Research Institute, Graduate School of Engineering, Tohoku University
Bibliographic Information
- Other Title
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- グラフェンを用いたひずみ制御高感度ガス選択センサの開発
Abstract
<p>The excellent properties of graphene make it a broad prospect in gas sensing, but the lack of gas selectivity largely limits its practical application. By first-principle calculation, it was found that strain changes the surface free energy of graphene, thereby affects the gas adsorption behavior on the graphene surface. For water molecules and carbon monoxide molecules, the adsorption energy increased with strain. In addition, when the applied strain reached about 5%, the adsorption energy of carbon monoxide changed from a negative value to a positive value, in other words, desorption started to occur under the applied strain. This result suggests that the selectivity of graphene can be improved by control of strain. In this study, in order to verify the feasibility of this theory, a graphene flexible sensor was developed. The graphene was synthesized by using chemical vapor deposition and was transferred onto a PDMS substrate using wet transfer method. Then, electrodes were deposited using electron beam evaporation. Raman spectroscopy was used for the characterization of the quality of graphene and it was found that the monolayer graphene was successfully transferred to the target substrate. Finally, the change of its resistance was validated under strain and H2O, respectively.</p>
Journal
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- The Proceedings of Mechanical Engineering Congress, Japan
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The Proceedings of Mechanical Engineering Congress, Japan 2020 (0), J22208-, 2020
The Japan Society of Mechanical Engineers
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Details 詳細情報について
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- CRID
- 1390287462799745920
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- NII Article ID
- 130008003892
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- ISSN
- 24242667
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- Text Lang
- ja
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- Data Source
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- JaLC
- Crossref
- CiNii Articles
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- Abstract License Flag
- Disallowed