Abstract
Evaluation of thermal conductivity of composite materials is extremely important to control material performance and stability in thermal applications as well as to study transport phenomena. In this paper, numerical simulation of effective thermal conductivity of Al-Sn miscibility gap alloys is validated with experimental results. Lattice Monte-Carlo (LMC) method is applied to two-phase and three-phase materials, allowing to estimate effective thermal conductivity from micrographs and individual phase properties. Numerical results are compared with literature data for cast Al-Sn alloys for the two-phase model and with a specifically produced powder metallurgy Al-10vol%Sn, tested using laser flash analysis, for a three-phase simulation. A good agreement between numerical and experimental data was observed. Moreover, LMC simulations confirmed the effect of phase morphology as well as actual phase composition on thermal conductivity of composite materials.
Highlights
Experimental Evaluation of ThermalThermal conductivity is one of the main properties of materials
These data are compared with Lattice Monte-Carlo (LMC) calculations made for three square regions sampled from the micrograph supplied by Reference [20] for each alloy composition
The values for the three regions considered for LMC calculations for the same alloy, clearly show the effect of the actual volume fraction of Sn as well as its variability when these areas are selected from small regions of metallographic samples
Summary
Thermal conductivity is one of the main properties of materials It describes the heat transfer in solids related to the transmission of vibrational energy from one particle to an adjacent one without motion of material [1]. The evaluation of this property is fundamental to control material performance and stability, as well as to study further transport phenomena, like electrical conductivity [2]. Morphology must be taken into account as well for transport properties like thermal conductivity [3] In more detail, this means that distribution, shape, and orientation of phases must be considered in addition to thermal conductivity of each phase and its volume fraction
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