• 文献标题:   Microstructure simulation and heat transfer optimization for graphene oxide doped anti-/deicing composites
  • 文献类型:   Article
  • 作  者:   CHEN L, REN JJ, ZHANG YS, LIU ZQ, XU FQ, CHENG JN
  • 作者关键词:   microstructure simulation, graphene oxide doping, heat transfer, response surface method, anti, deicing
  • 出版物名称:   COMPOSITES SCIENCE TECHNOLOGY
  • ISSN:   0266-3538 EI 1879-1050
  • 通讯作者地址:  
  • 被引频次:   1
  • DOI:   10.1016/j.compscitech.2021.108901 EA JUN 2021
  • 出版年:   2021

▎ 摘  要

A microstructure simulation model was established to simulate and optimize the heat transfer performance of graphene oxide (GO) doped Glass Fiber/Epoxy (GF/EP) composites. At the microscopic level, the finite element method was employed to simulate the heat transfer characteristics of the GO/GF/EP composites. At the macroscopic level, infrared thermal imaging measurement was performed to obtain the temperature field distribution of the GO/GF/EP composites. In this work, the maximum error of the heat transfer model of the GO/ GF/EP composites was 8.81% by comparing the experimental results with numerical results, which verifying the correctness of the proposed microstructure model of the GO/GF/EP composites. Moreover, the response surface method (RSM) was employed to optimize the heat transfer performance of the GO/GF/EP composites. The main in!luencing factors were determined by Box-Behnken optimization: graphene content is 1.99 wt%, graphene sheet diameter is 4 mu m, layer spacing of glass fiber is 50 mu m, glass fiber spacing is 1 mu m, and glass fiber diameter is 6 mu m. Comparing the experimental results with the predicted values of the proposed model, the error between the results is 1.533%, which shows that the model and the experimental data are in good agreement.