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使用幂缩放模型改进对碳基气凝胶弹性模量的预测

Improved Prediction of Elastic Modulus for Carbon-Based Aerogels Using Power-Scaling Model.

作者信息

Bi Cheng, Yang Mingyang, Yang Xu, Yun Ke, Lu Yuan, Zhang Ying, Zheng Jie, Du Mu

机构信息

Xi'an Special Equipment Inspection Institute, Xi'an 710065, China.

School of Resources Engineering, Xi'an University of Architecture and Technology, Xi'an 710055, China.

出版信息

Gels. 2025 Mar 6;11(3):184. doi: 10.3390/gels11030184.

DOI:10.3390/gels11030184
PMID:40136889
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11941829/
Abstract

The mechanical stability of carbon aerogels, particularly their thermal insulation performance, is closely linked to their elastic modulus. This property plays a crucial role in determining the material's overall mechanical stability. The objective of this study is to enhance the accuracy of elastic modulus predictions for carbon aerogels using a power-scaling model. By setting the prefactor of the Gibson and Ashby equation to 1.0, accurate predictions of the elastic modulus can be achieved if the correct scaling exponent is determined. Twelve sets of experimental data were used to fit the power-scaling model, revealing that the scaling exponent for the elastic modulus of carbon aerogels typically falls between 2.2 and 3.0. This range is narrower than the 2.0 to 4.0 range reported in the literature, with a median value of 2.6 providing reliable predictions. Additionally, a relationship between the solid thermal conductivity and the elastic modulus of carbon aerogels was established using a thermal conduction model. The study also examined the elastic modulus of carbon nanotube and graphene aerogels-both allotropes of carbon aerogel. By fitting experimental data into the power-scaling model, the scaling exponents for carbon nanotube aerogels and graphene aerogels were found to range from 2.7 to 3.5 and 2.7 to 3.7, respectively. Median exponent values of 3.1 and 3.2 were identified as optimal for predicting the elastic moduli of carbon nanotube and graphene aerogels.

摘要

碳气凝胶的机械稳定性,尤其是其隔热性能,与它们的弹性模量密切相关。这一特性在决定材料的整体机械稳定性方面起着至关重要的作用。本研究的目的是使用幂次缩放模型提高碳气凝胶弹性模量预测的准确性。通过将吉布森和阿什比方程的前置因子设为1.0,如果确定了正确的缩放指数,就能实现对弹性模量的准确预测。使用十二组实验数据来拟合幂次缩放模型,结果表明碳气凝胶弹性模量的缩放指数通常在2.2至3.0之间。这个范围比文献报道的2.0至4.0范围更窄,中位数为2.6时能提供可靠的预测。此外,利用热传导模型建立了碳气凝胶的固体热导率与弹性模量之间的关系。该研究还考察了碳纳米管气凝胶和石墨烯气凝胶(均为碳气凝胶的同素异形体)的弹性模量。通过将实验数据拟合到幂次缩放模型中,发现碳纳米管气凝胶和石墨烯气凝胶的缩放指数分别在2.7至3.5和2.7至3.7之间。确定中位数指数值3.1和3.2为预测碳纳米管气凝胶和石墨烯气凝胶弹性模量的最佳值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/2f19c85efd60/gels-11-00184-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/b18928fa1fe2/gels-11-00184-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/13e23ab19b18/gels-11-00184-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/8beb79cf3c58/gels-11-00184-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/3bb178ba314f/gels-11-00184-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/351fecd5bfd5/gels-11-00184-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/2f19c85efd60/gels-11-00184-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/b18928fa1fe2/gels-11-00184-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/13e23ab19b18/gels-11-00184-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/8beb79cf3c58/gels-11-00184-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/3bb178ba314f/gels-11-00184-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/351fecd5bfd5/gels-11-00184-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5786/11941829/2f19c85efd60/gels-11-00184-g006.jpg

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本文引用的文献

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A Review of High-Temperature Aerogels: Composition, Mechanisms, and Properties.高温气凝胶综述:组成、机理与性能
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2
Highly cross-linked carbon tube aerogels with enhanced elasticity and fatigue resistance.高交联碳纳米管气凝胶,具有增强的弹性和抗疲劳性。
Nat Commun. 2023 Jun 1;14(1):3178. doi: 10.1038/s41467-023-38664-6.
3
Thermal Insulation Performance of Aerogel Nano-Porous Materials: Characterization and Test Methods.气凝胶纳米多孔材料的隔热性能:表征与测试方法
Gels. 2023 Mar 14;9(3):220. doi: 10.3390/gels9030220.
4
A direct foaming approach for carbon nanotube aerogels with ultra-low thermal conductivity and high mechanical stability.一种用于制备具有超低热导率和高机械稳定性的碳纳米管气凝胶的直接发泡方法。
Nanoscale. 2021 Jul 15;13(27):11878-11886. doi: 10.1039/d1nr02690a.
5
Rational and wide-range tuning of CNT aerogel conductors with multifunctionalities.具有多功能的碳纳米管气凝胶导体的合理且宽范围调谐
Nanoscale. 2020 Jul 2;12(25):13771-13780. doi: 10.1039/d0nr03564e.
6
Conductive bacterial cellulose/multiwall carbon nanotubes nanocomposite aerogel as a potentially flexible lightweight strain sensor.导电细菌纤维素/多壁碳纳米管纳米复合气凝胶作为一种潜在的柔性轻质应变传感器。
Carbohydr Polym. 2018 Dec 1;201:228-235. doi: 10.1016/j.carbpol.2018.08.054. Epub 2018 Aug 13.
7
Enhanced mechanical, thermal, and electric properties of graphene aerogels via supercritical ethanol drying and high-temperature thermal reduction.通过超临界乙醇干燥和高温热还原提高石墨烯气凝胶的机械、热和电性能。
Sci Rep. 2017 May 3;7(1):1439. doi: 10.1038/s41598-017-01601-x.
8
The mechanics and design of a lightweight three-dimensional graphene assembly.一种轻质三维石墨烯组件的力学和设计。
Sci Adv. 2017 Jan 6;3(1):e1601536. doi: 10.1126/sciadv.1601536. eCollection 2017 Jan.
9
Naturally Dried Graphene Aerogels with Superelasticity and Tunable Poisson's Ratio.具有超弹性和可调泊松比的天然干燥石墨烯气凝胶。
Adv Mater. 2016 Nov;28(41):9223-9230. doi: 10.1002/adma.201603079. Epub 2016 Sep 5.
10
Highly compressible 3D periodic graphene aerogel microlattices.高可压缩性三维周期性石墨烯气凝胶微晶格
Nat Commun. 2015 Apr 22;6:6962. doi: 10.1038/ncomms7962.