Shivangi Aney
On the origin of power-scaling exponents in silica aerogels
Aney, Shivangi; Pandit, Prakul; Ratke, Lorenz; Milow, Barbara; Rege, Ameya
Authors
Prakul Pandit
Lorenz Ratke
Barbara Milow
Ameya Rege
Abstract
The macroscopic properties of open-porous cellular materials hinge upon the microscopic skeletal architecture and features of the material. Typically, bulk material properties, viz. the elastic modulus, strength of the material, thermal conductivity, and acoustic velocity, of such porous materials are expressed in terms of power-scaling laws against their density. In particular, the relation between the elastic modulus and the density has been intensively investigated. While the Gibson and Ashby model predicts an exponent of 2 for ideally connected foam-like open-cellular solids, the exponent is found to lie between 3 and 4 for silica aerogels. In this paper, we investigate the origins of this scaling exponent. Particularly, the effect of the pearl-necklace-like skeletal features of the pore walls and that of the random spatial arrangement is extensively computationally studied. It is shown that the latter is the driving factor in dictating the scaling exponent and the rest of the features play a negligible or no role in quantifying the scaling exponent.
Citation
Aney, S., Pandit, P., Ratke, L., Milow, B., & Rege, A. (in press). On the origin of power-scaling exponents in silica aerogels. Journal of Sol-Gel Science and Technology, https://doi.org/10.1007/s10971-023-06156-0
Journal Article Type | Article |
---|---|
Acceptance Date | May 31, 2023 |
Online Publication Date | Jun 26, 2023 |
Deposit Date | Jan 12, 2024 |
Journal | Journal of Sol-Gel Science and Technology |
Print ISSN | 0928-0707 |
Electronic ISSN | 1573-4846 |
Publisher | Springer Verlag |
Peer Reviewed | Peer Reviewed |
DOI | https://doi.org/10.1007/s10971-023-06156-0 |
Keywords | Materials Chemistry; Condensed Matter Physics; Biomaterials; General Chemistry; Ceramics and Composites; Electronic, Optical and Magnetic Materials |
Additional Information | Received: 4 March 2023; Accepted: 31 May 2023; First Online: 26 June 2023; : ; : The authors declare no competing interests. |
You might also like
Deep reinforcement learning for microstructural optimisation of silica aerogels
(2024)
Journal Article
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2024
Advanced Search