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Analysis System of Transient Electrochemo-mechanical Simulation of Solid Oxide Fuel Cell Implemented in Commercial FEM Software
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- SATO Masami
- International Research Institute of Disaster Science, Tohoku University
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- MURAMATSU Mayu
- Graduate School of Environmental Studies, Tohoku University
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- TERADA Kenjiro
- International Research Institute of Disaster Science, Tohoku University
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- WATANABE Satoshi
- Graduate School of Environmental Studies, Tohoku University
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- YASHIRO Keiji
- Graduate School of Environmental Studies, Tohoku University
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- KAWADA Tatsuya
- Graduate School of Environmental Studies, Tohoku University
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- YOKOKAWA Harumi
- Institute of Industrial Science, The University of Tokyo
Bibliographic Information
- Other Title
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- 汎用 FEM ソフトウェアをプラットフォームとする固体酸化物形燃料電池の非定常電気化学-力学連成解析システムの開発
Description
To enable the prediction of the mechanical degradation of solid oxide fuel cell (SOFC) during operation, we have developed an analysis system for the electrochemical and mechanical coupling phenomena by incorporating general-purpose finite element analysis (FEA) software along with its pre- and post-processing functions and conducted validation analyses to examine its quantitative performance in reproducing the measurement data. The dependencies of material properties on both temperature and oxygen’s chemical potentials are empirically obtained and stored in separate spreadsheets and read into the system so that the actual operation environment can be realized. The thermal and reduction strains calculated in the transient analysis for the potentials are also stored in spreadsheets beforehand and used in the stress analyses to make quantitative evaluation of creep deformations. Through a numerical example, the mathematical model implemented into the developed system has been initially validated in a quantitative way.
Journal
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- Transactions of the Japan Society for Computational Engineering and Science
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Transactions of the Japan Society for Computational Engineering and Science 2017 (0), 20170004-20170004, 2017
JAPAN SOCIETY FOR COMPUTATIONAL ENGINEERING AND SCIENCE
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Keywords
Details 詳細情報について
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- CRID
- 1390282679450106752
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- NII Article ID
- 130005450288
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- ISSN
- 13478826
- 13449443
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- Text Lang
- ja
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- Article Type
- journal article
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- Data Source
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- JaLC
- CiNii Articles
- KAKEN
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- Abstract License Flag
- Disallowed