Effective Thermal Conductivity of Particulate Composites with Different Particle Configurations

Zhang, M.; Zhai, Peng; Li, Y.; Zhang, J. T.; Zhang, Q. J.

doi:10.1063/1.2896765

Cited by 4 publications

(2 citation statements)

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“…For, k ratio = 5, Halpin-Tsai gives a good estimation of material properties when compared with experimental results of Akama (1997) For, k ratio = 33.75, see Figure 3(c), H-S lower bound model can be used, here, Halpin-Tsai estimate best for very lower compositions, i.e. up to V c 0.10 and at the higher composition of reinforcement, in this case, ZrO 2 , H-S lower bound found to be best when compared with experimental results of Zhang et al (2008). Hence, improvements are needed where the conductivity difference is very large.…”

Section: Estimation Of Effective Thermal Conductivitymentioning

confidence: 84%

Modeling of functionally graded materials to estimate effective thermo-mechanical properties

Madan

Bhowmick

2021

WJE

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Purpose Functionally graded materials are a special class of composites in which material are graded either continuously or layered wise depending upon its applications. With such variations of materials, the properties of structure vary either lengthwise or thickness wise. This paper aims to investigate models for effective estimation of material properties, as it is necessary for industries to identify the properties of composites or functionally graded materials (FGM’s) before manufacturing and also to develop novel material combinations. Design/methodology/approach Available models were compared for different material combinations and tested with experimental data for properties such as Young’s modulus, density, coefficient of thermal expansion (CTE) and thermal conductivity. Combinations of metal–ceramic and metal–metal were selected such that their ratios cover a wide range of materials. Findings This study reveals different models will be required depending on the material used and properties to be identified. Practical implications The results of the present work will help researchers in the effective modeling of composites or FGM’s for any analysis. Originality/value This paper presents a comparison and review of various analytical methods with experimental data graphically to find out the best suitable method. For the first time, the Halpin-Tsai model was extended in the analysis of the CTE which shows good approximations.

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Section: Estimation Of Effective Thermal Conductivitymentioning

confidence: 84%

Modeling of functionally graded materials to estimate effective thermo-mechanical properties

Madan

Bhowmick

2021

WJE

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“…These materials are promising materials, which should exhibit an improve on several aspects of the physical properties such as mechanical, thermal, electrical etc. Their properties will depend on the morphology (Phase distribution), the microstructure features and the required design to satisfy the dynamic expected behavior of the desired application [1,2].…”

Section: Introductionmentioning

confidence: 99%

Validations of a Model to Estimate Thermal Conductivities of Ceramics

Suleiman¹

2016

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The Effective Medium Theory Model (EMTM) used in this work is based on the assumption that every phase of the matrix is embedded in a homogeneous medium with conductivity k eff to be determined self-consistently. It is based on dilute spherical inclusions of one phase embedded in a matrix of a second phase. Several Samples of composite ceramics that are mechanically strong, relatively non-porous and anisotropic have been investigated. A comparison between the measured data and the results predicted by EMTM were made to validate the model for these ceramic samples. In particular, we investigate the effect of mineralogy (constituents) in ceramics and their spatial distribution profile to validate the homogeneity conditions of the model. Preliminary indicators of validation were used to check the bulk and surface homogeneities. This can be done either by roughly estimating Wiener bounds or by examining microscopically the surfaces of the samples. It turns out that the EMTM is a suitable one to estimate k eff provided that the homogeneity conditions are satisfied.

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Effective thermal conduction in composite materials

Suleiman

2009

Appl. Phys. A

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Effective Thermal Conductivity of Particulate Composites with Different Particle Configurations

Cited by 4 publications

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Modeling of functionally graded materials to estimate effective thermo-mechanical properties

Modeling of functionally graded materials to estimate effective thermo-mechanical properties

Validations of a Model to Estimate Thermal Conductivities of Ceramics

Effective thermal conduction in composite materials

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