Article, 2022

Enhanced thermal conductance and electrical insulation of AlN/PMIA composite paper via nano splitting of matrix and size grading of fillers

Composites Science and Technology, ISSN 1879-1050, 0266-3538, Volume 224, Page 109477, 10.1016/j.compscitech.2022.109477

Contributors

Ruan, Hao-Ou [1] Lü, Fang-Cheng [1] Song, Jing-Xuan 0000-0001-5377-9247 [1] Bian, Xing-Ming 0000-0003-2706-8251 [1] Yin, Kai 0000-0003-3797-4549 [2] Yin, Shengdong [3] Xie, Qing 0000-0002-2403-2109 (Corresponding author) [1]

Affiliations

  1. [1] North China Electric Power University
  2. [NORA names: China; Asia, East];
  3. [2] Aalborg University
  4. [NORA names: AAU Aalborg University; University; Denmark; Europe, EU; Nordic; OECD];
  5. [3] Ganzhou Longpunt Material Technology Co., LTD, Jiangxi, 341999, China
  6. [NORA names: China; Asia, East]

Abstract

Poly-(meta-phenylene isophthal-amide) (PMIA) is regarded as an ideal insulating medium for electronic devices owing to its excellent chemical stability and breakdown strength. However, the poor thermal conductivity limited the application under complex electrical-thermal environment. In this work, the size-graded AlN/PMIA composite papers were fabricated, with a multi-scale structure of matrix and fillers, and maintain qualified stability, mechanical strength and electrical insulation properties. With doping 40 wt% of 10 μm AlN and 10 wt% of 200 nm AlN, the optimum paper with in-plane (λ ∥ ) and out-of-plane (λ ⊥ ) of optimal paper reached thermal conductivity of 17.3 W/(mK) and 1.96 W/(mK) is obtained, and the breakdown strength increased to 69 kV/mm. The improvement mechanism brought by size-graded fillers was further revealed by the co-simulation of finite element method and loop nesting algorithm.

Keywords

AlN, L-, algorithm, applications, breakdown, breakdown strength, chemical, chemical stability, co-simulation, composite paper, conductivity, devices, electrical insulation, electrical insulation properties, electronic devices, element method, enhanced thermal conductivity, environment, filler, finite element method, grades of filler, improvement, improvement mechanism, in-plane, insulation properties, matrix, mechanical strength, mechanism, medium, method, multi-scale structure, nano, nesting algorithm, optimization papers, out-of-plane, paper, poor thermal conductivity, properties, qualified stability, size, size grading, splittings of matrices, stability, strength, structure of matrices, thermal conductivity

Funders

  • National Natural Science Foundation of China
  • Chinese Academy of Sciences

Data Provider: Digital Science