Microscopic Insight into Knudsen and Electromagnetic Effects on Thermal Conductivity of Closed Mesoporous Metal Gels
Accurate thermal characterization of closed mesoporous metal gels is vital for high-temperature uses, yet microscale effects often ignored in macroscopic models significantly impact heat transfer. This study introduces a new predictive method based on an equivalent Voronoi model, accounting for the Knudsen effect and microscale electromagnetic interactions. Predicted thermal conductivity closely matched experimental results, with an average error of 5.35%. The results demonstrate that thermal conductivity decreases with porosity, increases with temperature, and varies with pore size, with a minimum of 17.47 W/(m·K) observed at ~1 μm. Variations in refractive index, extinction coefficient, and specific surface area exert negligible influence. Conductive heat transfer is suppressed under Knudsen-dominated conditions at small pore sizes. Electromagnetic analysis around the pore size corresponding to minimum conductivity reveals localized surface plasmon resonances and magnetic coupling at the gas-solid interface, which enhance radiative dissipation and further reduce thermal conductivity. Radiation dissipation efficiency increases with decreasing porosity and pore size. This model thus serves as a predictive tool for designing high-performance thermal insulation systems for elevated-temperature applications.
Authors
- Haochun Zhang (ORCID: https://orcid.org/0000-0002-7712-623X)
- Mu Du (ORCID: https://orcid.org/0000-0002-9614-5508)
- Hou‐Yong Yu (ORCID: https://orcid.org/0000-0002-6543-5924)
- Mingdong Li (ORCID: https://orcid.org/0000-0003-3929-0220)
- Anqi Chen (ORCID: https://orcid.org/0009-0004-4821-5542)
- Ning Guo (ORCID: https://orcid.org/0000-0003-3434-3717)
Institutions
- Shandong University (CN)
- Harbin Institute of Technology (CN)
Publication Details
- Journal
- Gels
- Published
- 2025-09-15
- DOI
- https://doi.org/10.3390/gels11090739
- Primary Topic
- Thermal Radiation and Cooling Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Shandong Province