Modeling of anisotropic thermal conductivity of polymer composites containing aligned boron nitride platelets: Effect of processing methods

Chen, Lin; Xu, Hongzhou; Sun, Yingying; Du, Xiaoze; He, Shaojian; Lin, Jun; Nazarenko, Sergei

doi:10.1002/pc.23863

Cited by 7 publications

(4 citation statements)

References 31 publications

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“…Figure 6 also shows the calculated thermal conductivity results obtained by a specialized model which was formerly developed for 2D BN/polymer composites [ 36 , 37 ] and was recently applied to analyze the Ti 3 C 2 T x /epoxy composites. Briefly, this model takes into account the key parameters including filler orientation angle and filler aspect ratio (i.e., determined by lateral size and thickness), and simultaneously calculates k ⊥ and k // for a given filler content.…”

Section: Resultsmentioning

confidence: 99%

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Simultaneously Improved Thermal and Dielectric Performance of Epoxy Composites Containing Ti3C2Tx Platelet Fillers

et al. 2020

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Polymer composites with enhanced thermal and dielectric properties can be widely used in electric and energy related applications. In this work, epoxy composites have been prepared with Ti3C2Tx, one of the most studied MXene materials that can be massively produced by direct etching using hydrofluoric acid. The addition of conductive two dimensional Ti3C2Tx platelet fillers leads to improved but anisotropic thermal conductivity of the composites. The through-plane thermal conductivity reaches 0.583 Wm−1K−1 and the in-plane thermal conductivity reaches 1.29 Wm−1K−1 when filler content is 40 wt% (21.3 vol%), achieving enhancements of 2.92 times and 10.65 times respectively, as compared with epoxy matrix. The dielectric permittivity of epoxy composite is enhanced by a factor of ~2.25 with 40 wt% fillers, and the dielectric losses are within a small value of 0.02. The results prove the effectiveness of Ti3C2Tx in simultaneously improving thermal and dielectric performance of epoxy composites, and it is deduced that further improvements may be obtained by using Ti3C2Tx nanoflake fillers.

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Section: Resultsmentioning

confidence: 99%

“… In-plane and through-plane thermal conductivities of HF-Ti 3 C 2 T x /epoxy composites, in which the theoretical ones are simultaneously calculated by Chen model [ 36 , 37 ]. …”

Section: Figurementioning

confidence: 99%

Simultaneously Improved Thermal and Dielectric Performance of Epoxy Composites Containing Ti3C2Tx Platelet Fillers

et al. 2020

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“…where δ l and δ f represent the axial gaps, and δ d represents the radial gap in the self-assembled CF network. The relationship between δ f and δ d was defined as follows 47,48 :…”

Section: Construction Of Thermal Conductivity Modelmentioning

confidence: 99%

“…The geometric parameters of the traditional RVE (Figure 3A‐c) are defined as follows:

L = 2 δ_{l} + δ_{f} + 2 l = 2 δ_{f} + 2 l

D = 2 δ_{d} + a

where

δ_{l}

and

δ_{f}

represent the axial gaps, and

δ_{d}

represents the radial gap in the self‐assembled CF network. The relationship between

δ_{f}

and

δ_{d}

was defined as follows 47,48 :

2 δ_{d} = C φ^{n} δ_{f}

where the power term n indicates the dependence of the thickness ratio (

2 δ_{d} / δ_{f}

) on the filler volume content

φ

, and C denotes the fitting coefficient determined by an iterative process.…”

Section: Construction Of Thermal Conductivity Modelmentioning

confidence: 99%

Modeling thermal conductivity of polymer/carbon fiber composites prepared by SCFNA method

He,

et al. 2023

Polymer Composites

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The spatial confining forced network assembly (SCFNA) has proven to be a promising method for greatly improving the thermal conductivity (TC) of polymer composites via transforming self‐assembled networks into force‐assembled networks in polymer matrices. Most of the models currently in use were derived to predict the TC of polymer composites with self‐assembled networks; however, these are not suitable for predicting the TC of polymer composites with force‐assembled networks. To address this issue, a TC prediction model for polymer/carbon fiber (CF) composites obtained using the SCFNA method was developed. First, a literature TC prediction model, built by abstracting a representative volume element (RVE) from a CF self‐assembled network, was utilized to determine the key parameters related to the CF distance. Thereafter, a modified RVE model was constructed based on the morphological characteristics of the force‐assembled network of CFs. In conjunction with the thermal resistance method, the TC values of the polymer composites were calculated and successfully validated using experimental data obtained by the SCFNA method. In this model, the compression ratio (ε) and a fitting coefficient f were applied to describe the relationship between self‐assembled and force‐assembled networks, and furthermore, the actual filler content in the force‐assembled network was calculated. It was found that as the ε value and filler content increased, f accordingly decreased; however, the calculated actual filler volume content in the force‐assembled network increased. These results possibly reflect the evolution of the CF microstructure obtained by the SCFNA method.Highlights Filler gaps in self‐assembled networks were studied using a literature model. The relationship between self‐assembled and force‐assembled networks was established. A thermal conductivity model of the force‐assembled network was established. The actual filler volume content in the force‐assembled network was calculated.

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Processing Influence on Thermal Conductivity of Polymer Nanocomposites

Rybak

2019

Processing of Polymer Nanocomposites

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Modeling of anisotropic thermal conductivity of polymer composites containing aligned boron nitride platelets: Effect of processing methods

Cited by 7 publications

References 31 publications

Simultaneously Improved Thermal and Dielectric Performance of Epoxy Composites Containing Ti3C2Tx Platelet Fillers

Simultaneously Improved Thermal and Dielectric Performance of Epoxy Composites Containing Ti3C2Tx Platelet Fillers

Modeling thermal conductivity of polymer/carbon fiber composites prepared by SCFNA method

Processing Influence on Thermal Conductivity of Polymer Nanocomposites

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