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Self-healing by design: universal kinetic model of strength recovery in self-healing ceramics
We propose a new theoretical kinetic model of strength recovery by oxidation-induced self-healing of surface cracks in composites containing a healing agent (HA). The kinetics is a key parameter in the design of structural components that can self-heal the damage done in service. Based on three-dime...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476540/ https://www.ncbi.nlm.nih.gov/pubmed/32939183 http://dx.doi.org/10.1080/14686996.2020.1796468 |
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author | Osada, Toshio Hara, Toru Mitome, Masanori Ozaki, Shingo Abe, Taichi Kamoda, Kiichi Ohmura, Takahito |
author_facet | Osada, Toshio Hara, Toru Mitome, Masanori Ozaki, Shingo Abe, Taichi Kamoda, Kiichi Ohmura, Takahito |
author_sort | Osada, Toshio |
collection | PubMed |
description | We propose a new theoretical kinetic model of strength recovery by oxidation-induced self-healing of surface cracks in composites containing a healing agent (HA). The kinetics is a key parameter in the design of structural components that can self-heal the damage done in service. Based on three-dimensional (3D) observations of crack-gap filling, two crack-gap filling models, i.e., a bridging model and a tip-to-mouth filling model, are incorporated in the proposed kinetic model. These crack-gap filling models account for the microstructural features of the fracture surfaces, crack geometry, and oxidation kinetics of the healing-agent. Hence, the minimum and maximum remaining flaw sizes in the healed crack gaps are estimated for various healing temperatures, times, and oxygen partial pressure conditions. Further, the nonlinear elastic fracture mechanics suitable for small-sized remaining flaws, together with a statistical analysis of the original Weibull-type strength distribution, enables the prediction of upper and lower strength limits of the healed composites. Three sintered alumina matrix composites containing silicon carbide (SiC)-type HAs with various volume fractions and shapes, together with monolithic SiC ceramics, are considered. The strength of the healed-composite predicted by our model agrees well with the experimental values. This theoretical approach can be applied to HAs other than SiC and enables the design of self-healing ceramic components for various applications. |
format | Online Article Text |
id | pubmed-7476540 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
spelling | pubmed-74765402020-09-15 Self-healing by design: universal kinetic model of strength recovery in self-healing ceramics Osada, Toshio Hara, Toru Mitome, Masanori Ozaki, Shingo Abe, Taichi Kamoda, Kiichi Ohmura, Takahito Sci Technol Adv Mater Focus on Self-Healing Materials We propose a new theoretical kinetic model of strength recovery by oxidation-induced self-healing of surface cracks in composites containing a healing agent (HA). The kinetics is a key parameter in the design of structural components that can self-heal the damage done in service. Based on three-dimensional (3D) observations of crack-gap filling, two crack-gap filling models, i.e., a bridging model and a tip-to-mouth filling model, are incorporated in the proposed kinetic model. These crack-gap filling models account for the microstructural features of the fracture surfaces, crack geometry, and oxidation kinetics of the healing-agent. Hence, the minimum and maximum remaining flaw sizes in the healed crack gaps are estimated for various healing temperatures, times, and oxygen partial pressure conditions. Further, the nonlinear elastic fracture mechanics suitable for small-sized remaining flaws, together with a statistical analysis of the original Weibull-type strength distribution, enables the prediction of upper and lower strength limits of the healed composites. Three sintered alumina matrix composites containing silicon carbide (SiC)-type HAs with various volume fractions and shapes, together with monolithic SiC ceramics, are considered. The strength of the healed-composite predicted by our model agrees well with the experimental values. This theoretical approach can be applied to HAs other than SiC and enables the design of self-healing ceramic components for various applications. Taylor & Francis 2020-08-17 /pmc/articles/PMC7476540/ /pubmed/32939183 http://dx.doi.org/10.1080/14686996.2020.1796468 Text en © 2020 The Author(s). Published by National Institute for Materials Science in partnership with Taylor & Francis Group. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Focus on Self-Healing Materials Osada, Toshio Hara, Toru Mitome, Masanori Ozaki, Shingo Abe, Taichi Kamoda, Kiichi Ohmura, Takahito Self-healing by design: universal kinetic model of strength recovery in self-healing ceramics |
title | Self-healing by design: universal kinetic model of strength recovery in self-healing ceramics |
title_full | Self-healing by design: universal kinetic model of strength recovery in self-healing ceramics |
title_fullStr | Self-healing by design: universal kinetic model of strength recovery in self-healing ceramics |
title_full_unstemmed | Self-healing by design: universal kinetic model of strength recovery in self-healing ceramics |
title_short | Self-healing by design: universal kinetic model of strength recovery in self-healing ceramics |
title_sort | self-healing by design: universal kinetic model of strength recovery in self-healing ceramics |
topic | Focus on Self-Healing Materials |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7476540/ https://www.ncbi.nlm.nih.gov/pubmed/32939183 http://dx.doi.org/10.1080/14686996.2020.1796468 |
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