An analytical method for predicting the effective transverse thermal conductivity of nano coated fiber composites

Xiao, Junhua; Xu, Yuzhe; Zhang, Fucheng

doi:10.1016/j.compstruct.2018.01.086

Cited by 24 publications

(6 citation statements)

References 54 publications

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“…By substituting Equation (15) into Equation ( 16), the relationship between the zero-order temperature microvariables and average temperature can be obtained,…”

Section: Localized Thermal Conductivity Matrixmentioning

confidence: 99%

“…Liu et al [ 13 ] used the machine learning to evaluate the influence of the microstructure and microscopic distribution on the effective thermal conductivity of composites. To evaluate thermal properties of the constituent material influence on the effective thermal conductivity (ETC), some classical numerical methods, for example, Mori‐Tanaka (M‐T) method, [ 14 ] Self‐consistent method, [ 15 ] Hashin & Shtrikman bound method, [ 16 ] have been developed. Kim et al [ 14 ] investigated the effective thermal conduction behavior of nanocomposites containing various fillers with interfacial resistances.…”

Section: Introductionmentioning

confidence: 99%

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A novel numerical method to evaluate the thermal conductivity of the unidirectional fiber‐reinforced composites

Cai

et al. 2022

Polymer Composites

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In this study, an effective microscale method based on the parametric modeling scheme of the finite volume method is improved to evaluate the effective thermal conductivity and localized thermal fields of the fiber-reinforced composites. By comparing with the finite element method and experimental data, it is indicated that the proposed microscale method exhibits a high accuracy in solving their effective properties. On this basis, the mesh sensitivity and fiber volume fraction influence on the thermal conductivity are both investigated.The number of 36 Â 36 sub-cells is employed as the RVE model to balance the computational efficiency and simulating accuracy. In addition, affected by the thermal conductivity and microstructure of constituent materials, the heat flux distribution near the interface between phenolic resin matrix and glass fiber is relatively uniform. The study on the influencing factors of the volume fraction shows that the equivalent thermal conductivity increases slowly at the low volume fraction, while the growth rate of the equivalent thermal conductivity increases significantly at the high-volume fraction.

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“…By substituting Equation (15) into Equation ( 16), the relationship between the zero-order temperature microvariables and average temperature can be obtained,…”

Section: Localized Thermal Conductivity Matrixmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A novel numerical method to evaluate the thermal conductivity of the unidirectional fiber‐reinforced composites

Cai

et al. 2022

Polymer Composites

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“…Experiments, analytical, and numerical analyses are the primary approaches to evaluate the properties of rock mass, 5–7 which provide valuable information for various engineering projects. In experimental methods, rock hydraulic, and thermal properties are usually measured by Darcy's experiments, 8 in‐situ permeability measurement, 9 heat flow meter‐based methods, 10 simple hot box‐heat flow meter‐based methods 11 and in‐situ measurement without heat flow meter methods 12 .…”

Section: Introductionmentioning

confidence: 99%

DRPCTS: A digital computation theory framework system for rock property parameters using micro‐CT images

Zhao

Zhou

2021

Num Anal Meth Geomechanics

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Rock properties evaluations play decisive roles in various geotechnical engineering programs. This work aims at establishing a digital rock parameters computation theory framework system (DRPCTS) to rapidly and accurately obtain the common pore‐scale, hydraulic, and thermophysical variables by micro‐CT images. The proposed package contains the codes for the pore‐scale, hydraulic, and thermophysical variables expressions defined by the digital analysis techniques. Some experimental rock properties datasets are given to validate the accuracy of DRPCTS. The DRPCTS package provides excellent tools to rapidly obtain the common rock properties parameters only using some micro‐CT datasets as the input parameters with simple implementations.

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“…Many analytical and numerical models are proposed in the literature for evaluating effective thermal conductivity of composite materials. A lot of the existent analytical models are extensions of traditional micromechanical models originally formulated for elastic homogenization problem [3][4][5][6][7][8]. Most of them have been derived for two-phase composites with random microstructures that satisfy the statistical homogeneity hypothesis [9][10][11].…”

Section: Introductionmentioning

confidence: 99%

A semi-analytical model for evaluation of effective thermal conductivity of composites with periodic microstructure

Lages

Marques

2019

J Braz. Soc. Mech. Sci. Eng.

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This paper presents a semi-analytical micromechanical model for evaluation of effective thermal conductivity of composite materials with periodic microstructure. The model is based on the equivalent inclusion thermal problem and utilizes Fourier series for representation of periodic functions involved in the material homogenization approach. Two main objectives can be highlighted in the work. The first of them is the derivation of the thermal micromechanical model, which consists in an extension of a formulation originally derived for homogenization of elastic heterogeneous solids. The second objective consists in a detailed investigation on the performance of the model, considering convergence of results and efficiency of strategies employed for the approximate solution of the thermal homogenization problem. Analyses on the complexity of transformation temperature gradient functions are also included in this investigation. The results obtained for two examples of periodic composites with different microstructural architectures are presented and discussed in detail.

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An analytical method for predicting the effective transverse thermal conductivity of nano coated fiber composites

Cited by 24 publications

References 54 publications

A novel numerical method to evaluate the thermal conductivity of the unidirectional fiber‐reinforced composites

A novel numerical method to evaluate the thermal conductivity of the unidirectional fiber‐reinforced composites

DRPCTS: A digital computation theory framework system for rock property parameters using micro‐CT images

A semi-analytical model for evaluation of effective thermal conductivity of composites with periodic microstructure

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