Synergetic enhancement of thermal conductivity for highly explosive‐filled polymer composites through hybrid carbon nanomaterials

He, Guansong; Zhou, Xiaoshu; Liu, Jiahui; Jian-hu, Zhang; Pan, Liping; Liu, Shijun

doi:10.1002/pc.24351

Cited by 30 publications

(16 citation statements)

References 37 publications

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“…It is obvious that the measurements and prediction deviation without considering the percolation effect occurred at very low nanofiller concentrations, implying that f p may be very low and is estimated f p = 0.0001. [ 6,20 ] By incorporating the nonlinear influence of nanofillers, the final K e of the nanocomposites can be obtained:

\frac{K_{e}}{K_{m}} = 1 + \frac{1}{3} \frac{η {(f_{CNT} - 0.0001)}^{α}}{K_{m} / {ηK}_{CNT}^{eff}}

\frac{K_{e}}{K_{m}} = 1 + \frac{2}{3} \frac{η {(f_{GNP} - 0.0001)}^{α}}{{((), η^{2} K_{GNP}^{eff} / K_{m} - 1)}^{- 1}}

…”

Section: Resultsmentioning

confidence: 99%

“…[14][15][16][17][18] Recent experimental results indicate that combining two different nanocarbon fillers with varied sizes as hybrid fillers could lead to a synergistic effect because of a three-dimensional (3D) thermally conductive network formation, which exceeds the thermal properties of the individual graphene or carbon nanotubes filled nanocomposites. [17,[19][20][21][22][23][24][25][26][27] Yu et al [28] achieved a significant thermal conductivity enhancement for graphene and single-walled CNTs hybrid fillers with a weight ratio of 3:1. He et al [20] reported that the thermal conductivity was enhanced with 3D hybrid GNPs/CNTs inclusion in the polymer matrix at very low nanofiller loading.…”

Section: Introductionmentioning

confidence: 99%

“…[17,[19][20][21][22][23][24][25][26][27] Yu et al [28] achieved a significant thermal conductivity enhancement for graphene and single-walled CNTs hybrid fillers with a weight ratio of 3:1. He et al [20] reported that the thermal conductivity was enhanced with 3D hybrid GNPs/CNTs inclusion in the polymer matrix at very low nanofiller loading. Enhancing thermal conductivity at low nanofiller loadings is essential for improving processability and reducing the viscosity and the cost of fabricated nanocomposites.…”

Section: Introductionmentioning

confidence: 99%

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Analytical modeling and experimentally optimizing synergistic effect on thermal conductivity enhancement of polyurethane nanocomposites with hybrid carbon nanofillers

Navidfar

Trabzon

2020

Polymer Composites

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Combining various carbon nanofillers with different dimensions can lead to a synergistic effect through the formation of an efficient conductive network. Hybrid polyurethane (PU) nanocomposites containing multi-walled carbon nanotubes (MWCNTs) and graphene nanoplatelets (GNPs) were fabricated to study experimental and theoretical aspects of thermal conductivity (TC) enhancement. The optimization of hybrid nanofillers combinations was done to synergically enhance the TC using various types of graphene, nanofillers concentrations and ratios. A synergistic thermal conductivity improvement with MWCNTs and GNPs was confirmed at low nanofillers contents. The TC of hybrid nanocomposite at 0.25 wt% is approximately equivalent to the TC of individual nanofillers at 0.75 wt%. An analytical model for the effective thermal conductivity of single and hybrid nanocomposites was considered with variables of volume fraction, interfacial thermal resistance, straightness of the nanofillers and the percolation effect, in which the predictions of the modified models agreed with the experimental results.

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\frac{K_{e}}{K_{m}} = 1 + \frac{1}{3} \frac{η {(f_{CNT} - 0.0001)}^{α}}{K_{m} / {ηK}_{CNT}^{eff}}

\frac{K_{e}}{K_{m}} = 1 + \frac{2}{3} \frac{η {(f_{GNP} - 0.0001)}^{α}}{{((), η^{2} K_{GNP}^{eff} / K_{m} - 1)}^{- 1}}

…”

Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Analytical modeling and experimentally optimizing synergistic effect on thermal conductivity enhancement of polyurethane nanocomposites with hybrid carbon nanofillers

Navidfar

Trabzon

2020

Polymer Composites

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“…A rigid 2D filler in the hybrid fillers could also stop bending and coiling of CNTs in the nanocomposite, and thus maintaining the aspect ratio and high thermal conductivity of CNTs. He et al [267] studied the enhancement of polymer-bonded explosives (PBX) using the hybrid fillers of 1D CNTs and 2D GNPs. The thermal conductivity of PBX based nanocomposites with a filling ratio of 1.31 vol% comprising of 10 vol% GNPs and 90 vol% CNTs is about 1.4 W·m -1 ·K -1 , which is more than twice that of PBX with pure GNPs or CNTs.…”

Section: (C) With 1d+2d Hybrid Fillersmentioning

confidence: 99%

Thermal conductivity of polymers and polymer nanocomposites

Huang

Qian

Yang

2018

Materials Science and Engineering: R: Reports

673

391

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Polymers are widely used in industry and in our daily life because of their diverse functionality, light weight, low cost and excellent chemical stability. However, on some applications such as heat exchangers and electronic packaging, the low thermal conductivity of polymers is one of the major technological barriers. Enhancing the thermal conductivity of polymers is important for these applications and has become a very active research topic over the past two decades. In this review article, we aim to: 1). systematically summarize the molecular level understanding on the thermal transport mechanisms in polymers in terms of polymer morphology, chain structure and inter-chain coupling; 2). highlight the rationales in the recent efforts in enhancing the thermal conductivity of nanostructured polymers and polymer nanocomposites. Finally, we outline the main advances, challenges and outlooks for highly thermal-conductive polymer and polymer nanocomposites. the inter-chain coupling. Fig. 1 Schematic diagrams of a polymer: (a) the morphology of a polymer consisting of crystalline and amorphous domains; (b) structure of a polymer chain.In addition to engineering the morphology of polymer chains, another common method to enhance the thermal conductivity of polymers is to blend polymers with highly thermal conductive fillers. The progress of nanotechnology over the last two decades not only provides more diverse high thermal conductivity fillers of different material types and topological shapes but also advances the understanding at the nanoscale. Fig. 2 shows a sketch of a polymer nanocomposite to illustrate the thermal transport mechanisms. In general, there are two types of polymer nanocomposites depending on whether nano-fillers form a network or not. When the filler concentration is low, no inter-filler networks could be formed, as shown in Fig. 2(a). The thermal conductivity is essentially determined by the filler-matrix coupling, i.e, interfacial thermal resistance, and the concentration and the geometric shapes of fillers. When the filler concentration is large enough, high conductivity fillers might form thermally conductive networks, as shown in Fig. 2(b). Although nanocomposites with filler network could possess a higher thermal conductivity than that without a network, their thermal conductivity could still be low due to the large inter-filler thermal contact resistance. Recently, three-dimensional fillers, such as carbon and graphene foams, have drawn a lot of attention. The fundamental thermal transport mechanisms and recent synthesis efforts in both types of nanocomposites are reviewed.This review article is organized as follows. In Section 2, we introduce the experimental progress on the enhancement of thermal conductivity by aligning polymer chains, and then review the methods to further tune the thermal conductivity by engineering chain structure and inter-chain coupling, as illustrated in Fig. 3(a). In Section 3, we discuss the thermal conductivity of polymer nanocomposites both with and without inter...

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“…As a key thermophysical property, thermal conductivity has been widely investigated to enhance the thermal-environment adaptability of brittle materials [ 4 , 5 , 6 , 7 ]. Before investigating the effects of thermal conductivity on the thermal safety of these brittle materials, their temperature-dependent thermal conductivity should be experimentally measured over as wide a temperature range as possible.…”

Section: Introductionmentioning

confidence: 99%

An Inverse Analysis for Establishing the Temperature-Dependent Thermal Conductivity of a Melt-Cast Explosive across the Whole Solidification Process

Zhang

Zhou

et al. 2022

Materials

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Thermal conductivity is one of the most important thermophysical properties of a melt-cast explosive. However, the temperature-dependent thermal conductivity of such explosives cannot be easily measured across the whole solidification process (including the liquid, semi-solid, and solid states). This study used an inverse analysis method to estimate the temperature-dependent thermal conductivity of a 2,4-dinitroanisole/cyclotetramethylenetetranitramine (DNAN/HMX) melt-cast explosive in a continuous way. The method that was used is described here in detail, and it is verified by comparing the estimated thermal conductivity with a prespecified value using simulated measurement temperatures, thereby demonstrating its effectiveness. Combining this method with experimentally measured temperatures, the temperature-dependent thermal conductivity of the DNAN/HMX melt-cast explosive was obtained. Some measured thermal conductivity values for this explosive in the solid state were used for further validation.

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Synergetic enhancement of thermal conductivity for highly explosive‐filled polymer composites through hybrid carbon nanomaterials

Cited by 30 publications

References 37 publications

Analytical modeling and experimentally optimizing synergistic effect on thermal conductivity enhancement of polyurethane nanocomposites with hybrid carbon nanofillers

Analytical modeling and experimentally optimizing synergistic effect on thermal conductivity enhancement of polyurethane nanocomposites with hybrid carbon nanofillers

Thermal conductivity of polymers and polymer nanocomposites

An Inverse Analysis for Establishing the Temperature-Dependent Thermal Conductivity of a Melt-Cast Explosive across the Whole Solidification Process

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