Abstract
In this work, Mori-Tanaka (MT) scheme has been implemented to predict effective thermal properties of polymer nano-composites composed of high-density polyethylene (HDPE) and single-walled carbon nano-tubes (SWCNTs) as matrix and nano-fillers, respectively. The technique uses the fourth order tensor to effectively determine the thermal conductivities, specific heat and global density of the composites. Effect of constituent’s volume fraction and orientation have been investigated for effective thermal conductivities of composites. The composite fillers are numerically simulated as aligned, 2-D and 3-D random orientation in the polymer matrix. Numerical results show that in-plane and out-of-plane thermal conductivities have a linear relation with increasing volume fraction. The specific heat capacity of a composite decrease as the volume fraction of SWCNTs increases. The randomly distributed SWCNTs decreases the heat flux whereas the alignment of SWCNTs has shown a maximum heat flux.
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