Prediction of Thermal Conductivity of Fiber/Aerogel Composites for Optimal Thermal Insulation

Yang, Jianming; Wu, Huijun; He, Shiquan; Wang, Moran

doi:10.1615/jpormedia.2015013550

Cited by 30 publications

(7 citation statements)

References 35 publications

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“…The measurement principle is to use a contact heat source to apply a trace amount of thermal interference to the sample, at the same time measure the temperature response of a point in the sample to the thermal interference, and then the thermal conductivity of the material is calculated according to the measured data. The unsteady state method mainly includes the hot wire method, hot strip method, transient plane heat source method and so on, among which the hot wire method is a the commonly used international standardized method for measuring thermal conductivity [ 89 ].…”

Section: Test Methods Of Thermal Insulation Performancementioning

confidence: 99%

Thermal Insulation Performance of Aerogel Nano-Porous Materials: Characterization and Test Methods

Lou

Dong

Zhu

et al. 2023

Gels

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Due to the extremely high porosity and extremely low density of nano-porous thermal insulation materials, the characteristic size of the pores inside the materials and the characteristic size of the solid skeleton structure are on the nanometer scale, which leads to the obvious nanoscale effect of the heat transfer law inside the aerogel materials. Therefore, the nanoscale heat transfer characteristics inside the aerogel materials and the existing mathematical models for calculating the thermal conductivity of various heat transfer modes at the nanoscale need to be summarized in detail. Moreover, in order to verify the accuracy of the thermal conductivity calculation model of aerogel nano-porous materials, correct experimental data are required to modify the model. Because the medium is involved in radiation heat transfer, the existing test methods have a large error, which brings great difficulties to the design of nano-porous materials. In this paper, the heat transfer mechanism, characterization methods, and test methods of thermal conductivity of nano-porous materials are summarized and discussed. The main contents of this review are as follows. The first part introduces the structural characteristics and specific application environment of aerogel. In the second part, the characteristics of nanoscale heat transfer of aerogel insulation materials are analyzed. In the third part, the characterization methods of thermal conductivity of aerogel insulation materials are summarized. In the fourth part, the test methods of thermal conductivity of aerogel insulation materials are summarized. The fifth part gives a brief conclusion and prospect.

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Section: Test Methods Of Thermal Insulation Performancementioning

confidence: 99%

Thermal Insulation Performance of Aerogel Nano-Porous Materials: Characterization and Test Methods

Lou

Dong

Zhu

et al. 2023

Gels

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“…With an increase in fiber volume fraction, the amount of air contained in the composite also increases, thereby resulting in heat insulation. [298] Pujari et al [299] investigated the thermal Table 5. Classification based on UL 94 rating.…”

Section: Thermal Conductivitymentioning

confidence: 99%

Sustainable Fiber‐Reinforced Composites: A Review

Maiti

Islam

Uddin

et al. 2022

Advanced Sustainable Systems

152

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Sustainable fiber reinforced polymer (FRP) composites from renewable and biodegradable fibrous materials and polymer matrices are of great interest, as they can potentially reduce environmental impacts. However, the overall properties of such composites are still far from the high-performance conventional glass or carbon FRP composites. Therefore, a balance between composite performance and biodegradability is required with approaches to what one might call an eco-friendly composite. This review provides an overview of sustainable FRP composites, their manufacturing techniques, and sustainability in general at materials, manufacturing, and end-of-life levels. Sustainable plant-based natural fibers and polymer matrices are also summarized, followed by an overview of their modification techniques to obtain high-performance, multifunctional, and sustainable FRP composites. Current state-of-the-art mechanical and functional properties of such composites are then surveyed, and an overview of their potential applications in various industries, including automobile, aerospace, construction, medical, sports, and electronics is provided. Finally, future market trends, current challenges, and the future perspective on sustainable natural FRP composites are discussed.The ORCID identification number(s) for the author(s) of this article can be found under https://doi.org/10.1002/adsu.202200258.

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“…Similar to (17), the blocking probability could be solved in bisection method [49,50]. Therefore, the optimization problem in (28) for all multiple APs could be transformed as follows:…”

Section: Virtualized Congestion Wifi Offloading Algorithmmentioning

confidence: 99%

Congestion‐Optimal WiFi Offloading with User Mobility Management in Smart Communications

Liu

Zhu

Tan

et al. 2018

Wireless Communications and Mobile Computing

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We study the WiFi offloading problem in smart communications and adaptively seek for the optimal offloading strategies with the consideration of the mobility management and the dynamical nature of network state. With users mobility management, we formulate the offloading ratio optimization problem based on Markov process. Then, we propose a novel Congestion-Optimal WiFi Offloading (COWO) algorithm based on subgradient method, which aims to obtain the optimal offloading ratio for each access point (AP) to maximize the throughput and minimize the network congestion. Due to the computational complexity of subgradient method, we further improve the COWO algorithm by the equivalent transformation. By viewing all the APs as one virtual WiFi network, we try to optimize the identical offloading ratio for virtual WiFi network and develop a Virtualized Congestion-Optimal WiFi Offloading (VCOWO) algorithm with lower complexity. Under the equivalent conditions, the performance of the VCOWO algorithm could well approximate the optimal results obtained by the COWO algorithm. It is found that the VCOWO algorithm could obtain the upper bound of multiple APs WiFi offloading performance. Moreover, we investigate the impacts of user mobility on the WiFi offloading performance. Simulation results show that the proposed algorithm could achieve higher throughput with lower network congestion compared with other current offloading schemes.

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Prediction of Thermal Conductivity of Fiber/Aerogel Composites for Optimal Thermal Insulation

Cited by 30 publications

References 35 publications

Thermal Insulation Performance of Aerogel Nano-Porous Materials: Characterization and Test Methods

Thermal Insulation Performance of Aerogel Nano-Porous Materials: Characterization and Test Methods

Sustainable Fiber‐Reinforced Composites: A Review

Congestion‐Optimal WiFi Offloading with User Mobility Management in Smart Communications

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