A novel correlation for predicting the thermal conductivity of heterogeneous nanofiller polymer composites under effects of thermal contact resistance.pdfVIP

A novel correlation for predicting the thermal conductivity of heterogeneous nanofiller polymer composites under effects of thermal contact resistance.pdf

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A novel correlation for predicting the thermal conductivity of heterogeneous nanofiller polymer composites under effects of thermal contact resistance.pdf

International Journal of Heat and Mass Transfer 106 (2017) 539–545 Contents lists available at ScienceDirect International Journal of Heat and Mass Transfer journal homepage: /locate/ijhmt Technical Note A novel correlation for predicting the thermal conductivity of heterogeneous nano?ller polymer composites under effects of thermal contact resistance Ich-Long Ngo, Chan Byon ? School of Mechanical Engineering, Yeungnam University, Gyeongsan 712-749, South Korea article info Article history: Received 15 July 2016 Received in revised form 31 August 2016 Accepted 1 September 2016 Available online 9 September 2016 Keywords: Finite element method Heterogeneous ?llers Nanoparticle Polymer composites Thermal conductivity Thermal contact resistance abstract Heterogeneous nano?llers have been regarded as a promising candidate for enhancing the thermal conductivity (TC) of pure polymers. In this study, the effective thermal conductivity (ETC) of polymer composites containing heterogeneous nano?ller is investigated by numerical approach. Many effects of effective parameters are examined, which are the TC ratios between the nano?llers and the matrix (j1 and j2), the volume fractions (/1 and /2), and the thermal contact resistance (R?c1 and R?c2). Consequently, the ETC depends signi?cantly on a ratio Rc?1/R?c2 and becomes asymmetrical when their sum Rc?1 + Rc?2 is large, suggesting that to gain higher ETC, Rc?1 should be less than Rc?2 when /1 is greater than /2 and vice versa. Based on the numerical results, a novel correlation for predicting the ETC is pro- posed as a function of ?ve non-dimensional parameters: /1, /2, j1, j2, and Rc?. This correlation can be widely utilized for predicting the TC of heterogeneous-nano?ller polymer composites accurately and effectively. ó 2016 Elsevier Ltd. All rights reserved. 1. Introduction Advanced polymer composite materials used in potential applications that require higher thermal conductivity (TC, hereafter), such as ?exible polymers in

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