Prediction of the effective thermal conductivity of macroporous polyimide aerogels with severe fiber conglutination by an improved cubic model
The structure of an aerogel is vital to its thermal conductivity. In this study, an improved cubic model, i.e., face-filled intersecting square rods (F-ISR) is proposed to better approximate the structure of microporous PI aerogels with severe fiber conglutination or even polymer flakes, to further...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2023-01-01
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| Series: | Case Studies in Thermal Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214157X22009108 |
| _version_ | 1797956179914129408 |
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| author | Wanlin Shi Weiwang Chen Mengmeng Wan |
| author_facet | Wanlin Shi Weiwang Chen Mengmeng Wan |
| author_sort | Wanlin Shi |
| collection | DOAJ |
| description | The structure of an aerogel is vital to its thermal conductivity. In this study, an improved cubic model, i.e., face-filled intersecting square rods (F-ISR) is proposed to better approximate the structure of microporous PI aerogels with severe fiber conglutination or even polymer flakes, to further predict their effective thermal conductivity. The equations for prediction are derived theoretically. By assigning the average pore diameter (4V/A) to the side length of the model cube, and at the same time coupling the porosity and specific surface area measured from mercury intrusion porosimetry, the effective thermal conductivity of the PI aerogels can be predicted. The predicted results using F-ISR are observed to be more agreeable to the experimental data, with absolute deviations less than 10%. This is much better in terms of prediction accuracy than some other existing cubic models. It therefore can be envisaged that the proposed F-ISR model with very simple calculation rules and much better prediction accuracy will be more attractive for engineering applications, to predict the effective thermal conductivity of aerogels with similar structures. |
| first_indexed | 2024-04-10T23:46:02Z |
| format | Article |
| id | doaj.art-886ea909869a49249fe604ac54e165dc |
| institution | Directory Open Access Journal |
| issn | 2214-157X |
| language | English |
| last_indexed | 2024-04-10T23:46:02Z |
| publishDate | 2023-01-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Case Studies in Thermal Engineering |
| spelling | doaj.art-886ea909869a49249fe604ac54e165dc2023-01-11T04:29:25ZengElsevierCase Studies in Thermal Engineering2214-157X2023-01-0141102673Prediction of the effective thermal conductivity of macroporous polyimide aerogels with severe fiber conglutination by an improved cubic modelWanlin Shi0Weiwang Chen1Mengmeng Wan2School of Mathematics and Physics, North China Electric Power University, Beijing, 102206, PR ChinaKey Laboratory of Civil Aviation Thermal Hazards Prevention and Emergency Response, Civil Aviation University of China, Tianjin, 300300, PR China; Corresponding author.Key Laboratory of Civil Aviation Thermal Hazards Prevention and Emergency Response, Civil Aviation University of China, Tianjin, 300300, PR ChinaThe structure of an aerogel is vital to its thermal conductivity. In this study, an improved cubic model, i.e., face-filled intersecting square rods (F-ISR) is proposed to better approximate the structure of microporous PI aerogels with severe fiber conglutination or even polymer flakes, to further predict their effective thermal conductivity. The equations for prediction are derived theoretically. By assigning the average pore diameter (4V/A) to the side length of the model cube, and at the same time coupling the porosity and specific surface area measured from mercury intrusion porosimetry, the effective thermal conductivity of the PI aerogels can be predicted. The predicted results using F-ISR are observed to be more agreeable to the experimental data, with absolute deviations less than 10%. This is much better in terms of prediction accuracy than some other existing cubic models. It therefore can be envisaged that the proposed F-ISR model with very simple calculation rules and much better prediction accuracy will be more attractive for engineering applications, to predict the effective thermal conductivity of aerogels with similar structures.http://www.sciencedirect.com/science/article/pii/S2214157X22009108Polyimide aerogelsThermal conductivityFace-filled intersecting square rodsCubic modelsMercury intrusion porosimetry |
| spellingShingle | Wanlin Shi Weiwang Chen Mengmeng Wan Prediction of the effective thermal conductivity of macroporous polyimide aerogels with severe fiber conglutination by an improved cubic model Case Studies in Thermal Engineering Polyimide aerogels Thermal conductivity Face-filled intersecting square rods Cubic models Mercury intrusion porosimetry |
| title | Prediction of the effective thermal conductivity of macroporous polyimide aerogels with severe fiber conglutination by an improved cubic model |
| title_full | Prediction of the effective thermal conductivity of macroporous polyimide aerogels with severe fiber conglutination by an improved cubic model |
| title_fullStr | Prediction of the effective thermal conductivity of macroporous polyimide aerogels with severe fiber conglutination by an improved cubic model |
| title_full_unstemmed | Prediction of the effective thermal conductivity of macroporous polyimide aerogels with severe fiber conglutination by an improved cubic model |
| title_short | Prediction of the effective thermal conductivity of macroporous polyimide aerogels with severe fiber conglutination by an improved cubic model |
| title_sort | prediction of the effective thermal conductivity of macroporous polyimide aerogels with severe fiber conglutination by an improved cubic model |
| topic | Polyimide aerogels Thermal conductivity Face-filled intersecting square rods Cubic models Mercury intrusion porosimetry |
| url | http://www.sciencedirect.com/science/article/pii/S2214157X22009108 |
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