材料科学
热导率
复合材料
渗透(认知心理学)
纳米复合材料
聚合物纳米复合材料
渗流阈值
聚合物
热传导
氮化硼
各向同性
电阻率和电导率
光学
物理
电气工程
工程类
生物
神经科学
作者
Seung Han Ryu,Hong‐Baek Cho,Young‐Tae Kwon,Yoseb Song,Lee Jimin,Sang‐Bok Lee,Yong‐Ho Choa
标识
DOI:10.1021/acsapm.0c01061
摘要
A quasi-isotropic percolation network with enhanced thermal conductivity was prepared with a hexagonal boron nitride/poly(methyl methacrylate) (h-BN/PMMA) composite using a double filler-to-polymer structure (D-structure) approach. Using a three-dimensional (3-D) polygonal network of PMMA beads and the additional application of a PMMA resin with a different solubility, a secondary polymer-assisted filler percolation, the D-structure, was generated. The 3-D thermal percolation routes based on the D-structure generated in-plane (20 vol % of h-BN) and out-of-plane (30 vol % of h-BN) percolations of the polymer nanocomposites with quasi-isotropic thermal properties. Moreover, compared to a bare PMMA sheet, the composites showed 44 times enhancement of out-of-plane thermal conductivity (6.34 W m–1 K–1) and 51 times enhancement of in-plane thermal conductivity (7.34 W m–1 K–1) with 50 vol % h-BN filler loading. The dual 3-D thermal percolation routes, with in-plane and out-of-plane percolations, were generated in the polymer nanocomposites even after incorporation of a two-dimensional h-BN filler. A COMSOL thermal conducting simulation was designed to elucidate the creation of high thermal conductivity pathways through the composites. Thermal percolation thresholds over the generation of D-structure networks were revealed by correlating the infrared (IR) camera, COMSOL thermal conducting simulation, and infrared microscopy analyses.
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