Simple determination of the thermal conductivity of the solid phase of particulate materials

Carson, James K.; Sekhon, Jaskamal Preet

doi:10.1016/j.icheatmasstransfer.2010.07.024

Cited by 26 publications

(11 citation statements)

References 28 publications

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“…It is proposed that the effective thermal conductivity bounded region may be divided into internal porosity and external porosity regions. 4 For the random dispersion of two School of Power Engineering, Jiangsu University of Science and Technology, Zhenjiang, China components, the effective conductivity is modeled well by the EMT equation. 8 However, the aforementioned models are only applicative in single porosity situation, namely, the porous media with relatively uniform pore distribution.…”

Section: Introductionmentioning

confidence: 99%

“…3 The closed-cell metal foam belongs to a kind of granular porous media in which the void volume is occupied by gaseous components. According to Carson and Sekhon's 4 research, it could be also classified as ''internal porosity'' material that consists of large quantities of isolated pores. Heat flux is mainly conducted through continuous metal matrix networks.…”

Section: Introductionmentioning

confidence: 99%

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Thermal conductivity prediction of closed-cell aluminum alloy considering micropore effect

Zhang

Wang

2015

Advances in Mechanical Engineering

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Large quantities of micro-scale pores are observed in the matrix of closed-cell aluminum alloy by scanning electron microscope, which indicates the dual-scale pore characteristics. Corresponding to this kind of special structural morphology, a new kind of dual-scale method is proposed to estimate its effective thermal conductivity. Comparing with the experimental results, the article puts forward the view that the prediction accuracy can be improved by the dual-scale method greatly. Different empirical formulas are also investigated in detail. It provides a new method for thermal properties estimation and makes preparation for more suitable empirical formula for closed-cell aluminum alloy.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Thermal conductivity prediction of closed-cell aluminum alloy considering micropore effect

Zhang

Wang

2015

Advances in Mechanical Engineering

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“…For analytical modelling, two schemes were mostly mentioned [9][10][11] based on thermal conduc tion in parallel [Eq. (1)] and series [Eq.…”

Section: Introductionmentioning

confidence: 99%

“…Provided with the same temperature drop, it is inevitable that they have different thermal resistances to the heat flow. On the basis of this issue, Carson and Sekhon [10] proposed a weighted harmonic mean of the series and parallel, where the weight parameter f (some times referred to as the "distribution factor") has a value ranging between 0 and 1:…”

Section: Introductionmentioning

confidence: 99%

A solution for transverse thermal conductivity of composites with quadratic or hexagonal unidirectional fibres

Xiao

Long

2013

Science and Engineering of Composite Materials

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A solution for the transverse thermal conducti vity (K e ) of unidirectional fibre arrays, quadratic and hex agonal, is developed analytically. The solution integrates the thermal conductivity of fibre (K f ) and fluid (K m ) based on electricity analogy without thermal contact resistance (R c ) at the fibre/fluid interface. The expression K e is a func tion of K f and K m , as well as of the fibre volume fraction (V f ). In this article, K e values of four composites were pre dicted and verified by computational fluid dynamics (CFD) simulations. The results showed good agreement when the ratio of K f /K m is close to 1. An increase in the ratio or V f gives poorer agreement owing to the local temperature gradient at the fibre/fluid interface. CFD simulation also showed that K e is decreasing as the R c value increases.

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“…Recently numerical models have been presented by numerous researchers comparing the numerical and experimental values to determine the thermal conductivity of various materials. J.K. Carson and J.P. Sekhon studied granular materials (sand and soil) at the solid phase [17] using Maxwell's conductivity model and solved by Microsoft excel solver function. W. Guo studied the bulk wood pellets thermal conductivity [18] solving a modified equation of the line heat source method by a MATLAB program.…”

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confidence: 99%

Thermal Conductivity of Solid Materials

Teamah¹,

Dawood²,

Shehata³

et al. 2019

IJRES

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Thermo physical properties such as specific heat, thermal conductivity and density are unique for any material. Within a conductive material, thermal conductivity is the main property in the thermal energy transfer. Specific heat and density are the important components involved in the analysis of energy and mass balances. When combining these three properties, we get the thermal diffusivity, which is used in the analysis of unsteady-state heat transfer. Two major methods are used to measure the thermal conductivity of any material. The steady state method named guarded plate method which depends on a constant temperature difference achieved in the specimen of the material. This method needs complicated measurement system, it is unsuitable for the field application [1]. The transient (unsteady-state) techniques generally use a heater of a particular geometry inserted in the sample, and heated within a period of time. These measurement systems are less complex with respect to steady state methods and are better suited for field measurements. The experimental studies for determination of the thermal properties in a transient state has been conducted with numerous methods and techniques. The linear heat source method relies on a steady heat source ,for example, a hot wire, that generate s a temperature field inside an infinite volume of a material. Based on the thermal conductivity of the desired material, the temperature rise in its sample will vary from one material to other. The thermal conductivity, then, can be calculated from the temperature rise at two unique times and the power of the heater. This method was used to measure the thermal conductivity of many solids , fluids and soil [2-4].

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Simple determination of the thermal conductivity of the solid phase of particulate materials

Cited by 26 publications

References 28 publications

Thermal conductivity prediction of closed-cell aluminum alloy considering micropore effect

Thermal conductivity prediction of closed-cell aluminum alloy considering micropore effect

A solution for transverse thermal conductivity of composites with quadratic or hexagonal unidirectional fibres

Thermal Conductivity of Solid Materials

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