Distribution of Characteristic Times: A High-Resolution Spectrum Approach for Visualizing Chemical Relaxation and Resolving Kinetic Parameters of Ionic-Electronic Conducting Ceramic Oxides
Surface exchange coefficient (<i>k</i>) and bulk diffusion coefficient (<i>D</i>) are important properties to evaluate the performance of mixed ionic-electronic conducting (MIEC) ceramic oxides for use in energy conversion devices, such as solid oxide fuel cells. The values o...
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-12-01
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| Series: | Coatings |
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| Online Access: | https://www.mdpi.com/2079-6412/10/12/1240 |
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doaj-44248acefd7b4f25a11638e5ec8a5021 |
|---|---|
| record_format |
Article |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Fuyao Yan Yiheng Wang Ying Yang Lei Zhu Hui Hu Zhuofu Tang Yanxiang Zhang Mufu Yan Changrong Xia Yueming Xu |
| spellingShingle |
Fuyao Yan Yiheng Wang Ying Yang Lei Zhu Hui Hu Zhuofu Tang Yanxiang Zhang Mufu Yan Changrong Xia Yueming Xu Distribution of Characteristic Times: A High-Resolution Spectrum Approach for Visualizing Chemical Relaxation and Resolving Kinetic Parameters of Ionic-Electronic Conducting Ceramic Oxides Coatings distribution of characteristic times electrical conductivity relaxation surface exchange coefficient bulk diffusion coefficient |
| author_facet |
Fuyao Yan Yiheng Wang Ying Yang Lei Zhu Hui Hu Zhuofu Tang Yanxiang Zhang Mufu Yan Changrong Xia Yueming Xu |
| author_sort |
Fuyao Yan |
| title |
Distribution of Characteristic Times: A High-Resolution Spectrum Approach for Visualizing Chemical Relaxation and Resolving Kinetic Parameters of Ionic-Electronic Conducting Ceramic Oxides |
| title_short |
Distribution of Characteristic Times: A High-Resolution Spectrum Approach for Visualizing Chemical Relaxation and Resolving Kinetic Parameters of Ionic-Electronic Conducting Ceramic Oxides |
| title_full |
Distribution of Characteristic Times: A High-Resolution Spectrum Approach for Visualizing Chemical Relaxation and Resolving Kinetic Parameters of Ionic-Electronic Conducting Ceramic Oxides |
| title_fullStr |
Distribution of Characteristic Times: A High-Resolution Spectrum Approach for Visualizing Chemical Relaxation and Resolving Kinetic Parameters of Ionic-Electronic Conducting Ceramic Oxides |
| title_full_unstemmed |
Distribution of Characteristic Times: A High-Resolution Spectrum Approach for Visualizing Chemical Relaxation and Resolving Kinetic Parameters of Ionic-Electronic Conducting Ceramic Oxides |
| title_sort |
distribution of characteristic times: a high-resolution spectrum approach for visualizing chemical relaxation and resolving kinetic parameters of ionic-electronic conducting ceramic oxides |
| publisher |
MDPI AG |
| series |
Coatings |
| issn |
2079-6412 |
| publishDate |
2020-12-01 |
| description |
Surface exchange coefficient (<i>k</i>) and bulk diffusion coefficient (<i>D</i>) are important properties to evaluate the performance of mixed ionic-electronic conducting (MIEC) ceramic oxides for use in energy conversion devices, such as solid oxide fuel cells. The values of <i>k</i> and <i>D</i> are usually estimated by a non-linear curve fitting procedure based on electrical conductivity relaxation (ECR) measurement. However, the rate-limiting mechanism (or the availability of <i>k</i> and <i>D</i>) and the experimental imperfections (such as flush delay for gaseous composition change, <i>τ<sub>f</sub></i>) are not reflected explicitly in the time–domain ECR data, and the accuracy of <i>k</i> and <i>D</i> demands a careful sensitivity analysis of the fitting error. Here, the distribution of characteristic times (DCT) converted from time–domain ECR data is proposed to overcome the above challenges. It is demonstrated that, from the DCT spectrum, the rate-limiting mechanism and the effect of <i>τ<sub>f</sub></i> are easily recognized, and the values of <i>k</i>, <i>D</i> and <i>τ<sub>f</sub></i> can be determined conjunctly. A strong robustness of determination of <i>k</i> and <i>D</i> is verified using noise-containing ECR data. The DCT spectrum opens up a way towards visible and credible determination of kinetic parameters of MIEC ceramic oxides. |
| topic |
distribution of characteristic times electrical conductivity relaxation surface exchange coefficient bulk diffusion coefficient |
| url |
https://www.mdpi.com/2079-6412/10/12/1240 |
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doaj-44248acefd7b4f25a11638e5ec8a50212020-12-18T00:02:22ZengMDPI AGCoatings2079-64122020-12-01101240124010.3390/coatings10121240Distribution of Characteristic Times: A High-Resolution Spectrum Approach for Visualizing Chemical Relaxation and Resolving Kinetic Parameters of Ionic-Electronic Conducting Ceramic OxidesFuyao Yan0Yiheng Wang1Ying Yang2Lei Zhu3Hui Hu4Zhuofu Tang5Yanxiang Zhang6Mufu Yan7Changrong Xia8Yueming Xu9National Key Laboratory for Precision Hot Processing of Metals, MIIT Key Laboratory of Advanced Structure-Function Integrated Materials and Green Manufacturing Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, ChinaNational Key Laboratory for Precision Hot Processing of Metals, MIIT Key Laboratory of Advanced Structure-Function Integrated Materials and Green Manufacturing Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, ChinaNational Key Laboratory for Precision Hot Processing of Metals, MIIT Key Laboratory of Advanced Structure-Function Integrated Materials and Green Manufacturing Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, ChinaNational Key Laboratory for Precision Hot Processing of Metals, MIIT Key Laboratory of Advanced Structure-Function Integrated Materials and Green Manufacturing Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, ChinaNational Key Laboratory for Precision Hot Processing of Metals, MIIT Key Laboratory of Advanced Structure-Function Integrated Materials and Green Manufacturing Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, ChinaNational Key Laboratory for Precision Hot Processing of Metals, MIIT Key Laboratory of Advanced Structure-Function Integrated Materials and Green Manufacturing Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, ChinaNational Key Laboratory for Precision Hot Processing of Metals, MIIT Key Laboratory of Advanced Structure-Function Integrated Materials and Green Manufacturing Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, ChinaNational Key Laboratory for Precision Hot Processing of Metals, MIIT Key Laboratory of Advanced Structure-Function Integrated Materials and Green Manufacturing Technology, School of Materials Science and Engineering, Harbin Institute of Technology, Harbin 150001, ChinaCAS Key Laboratory of Materials for Energy Conversion, Department of Materials Science and Engineering, University of Science and Technology of China, Hefei 230026, ChinaBeijing Research Institute of Mechanical & Electrical Technology, Beijing 100083, ChinaSurface exchange coefficient (<i>k</i>) and bulk diffusion coefficient (<i>D</i>) are important properties to evaluate the performance of mixed ionic-electronic conducting (MIEC) ceramic oxides for use in energy conversion devices, such as solid oxide fuel cells. The values of <i>k</i> and <i>D</i> are usually estimated by a non-linear curve fitting procedure based on electrical conductivity relaxation (ECR) measurement. However, the rate-limiting mechanism (or the availability of <i>k</i> and <i>D</i>) and the experimental imperfections (such as flush delay for gaseous composition change, <i>τ<sub>f</sub></i>) are not reflected explicitly in the time–domain ECR data, and the accuracy of <i>k</i> and <i>D</i> demands a careful sensitivity analysis of the fitting error. Here, the distribution of characteristic times (DCT) converted from time–domain ECR data is proposed to overcome the above challenges. It is demonstrated that, from the DCT spectrum, the rate-limiting mechanism and the effect of <i>τ<sub>f</sub></i> are easily recognized, and the values of <i>k</i>, <i>D</i> and <i>τ<sub>f</sub></i> can be determined conjunctly. A strong robustness of determination of <i>k</i> and <i>D</i> is verified using noise-containing ECR data. The DCT spectrum opens up a way towards visible and credible determination of kinetic parameters of MIEC ceramic oxides.https://www.mdpi.com/2079-6412/10/12/1240distribution of characteristic timeselectrical conductivity relaxationsurface exchange coefficientbulk diffusion coefficient |