Prediction of Effective Thermal Conductivities of Four-Directional Carbon/Carbon Composites by Unit Cells with Different Sizes

Two-unit cells developed to predict the effective thermal conductivities of four-directional carbon/carbon composites with the finite element method are proposed in this paper. The smaller-size unit cell is formulated from the larger-size unit cell by two 180° rotational transformations. The tempera...

Full description

Bibliographic Details
Main Authors: Chang Xu, Zhihong Sun, Guowei Shao
Format: Article
Language:English
Published: MDPI AG 2021-01-01
Series:Applied Sciences
Subjects:
Online Access:https://www.mdpi.com/2076-3417/11/3/1171
id doaj-df4dfdef07874866ad235663a5f09311
record_format Article
spelling doaj-df4dfdef07874866ad235663a5f093112021-01-28T00:04:50ZengMDPI AGApplied Sciences2076-34172021-01-01111171117110.3390/app11031171Prediction of Effective Thermal Conductivities of Four-Directional Carbon/Carbon Composites by Unit Cells with Different SizesChang Xu0Zhihong Sun1Guowei Shao2College of Mechanical Engineering, Donghua University, Shanghai 201620, ChinaCollege of Mechanical Engineering, Donghua University, Shanghai 201620, ChinaCollege of Mechanical Engineering, Donghua University, Shanghai 201620, ChinaTwo-unit cells developed to predict the effective thermal conductivities of four-directional carbon/carbon composites with the finite element method are proposed in this paper. The smaller-size unit cell is formulated from the larger-size unit cell by two 180° rotational transformations. The temperature boundary conditions corresponding to the two-unit cells are derived, and the validity is verified by the temperature and heat flux distributions at specific positions of the larger-size unit cell and the smaller-size unit cell. The thermal conductivities of the carbon fiber bundles and carbon fiber rods are measured firstly. Then, combined with the properties of the matrix, the effective thermal conductivities of the four-directional carbon/carbon composites are numerically predicted. The results in transverse direction predicted by the larger-size unit cell and the smaller-size unit cell are both higher than experimental values, which are 5.8 to 6.2% and 7.3 to 8.2%, respectively. In longitudinal direction, the calculated thermal conductivities of the larger-size unit cell and the smaller-size unit cell are 6.8% and 6.2% higher than the experimental results, respectively. In addition, carbon fiber rods with different diameters are set to clarify the influence on the effective thermal conductivities of the four-directional carbon/carbon composites.https://www.mdpi.com/2076-3417/11/3/1171four-directional carbon/carbon compositesunit cellfinite element methodeffective thermal conductivitysymmetry transformation
collection DOAJ
language English
format Article
sources DOAJ
author Chang Xu
Zhihong Sun
Guowei Shao
spellingShingle Chang Xu
Zhihong Sun
Guowei Shao
Prediction of Effective Thermal Conductivities of Four-Directional Carbon/Carbon Composites by Unit Cells with Different Sizes
Applied Sciences
four-directional carbon/carbon composites
unit cell
finite element method
effective thermal conductivity
symmetry transformation
author_facet Chang Xu
Zhihong Sun
Guowei Shao
author_sort Chang Xu
title Prediction of Effective Thermal Conductivities of Four-Directional Carbon/Carbon Composites by Unit Cells with Different Sizes
title_short Prediction of Effective Thermal Conductivities of Four-Directional Carbon/Carbon Composites by Unit Cells with Different Sizes
title_full Prediction of Effective Thermal Conductivities of Four-Directional Carbon/Carbon Composites by Unit Cells with Different Sizes
title_fullStr Prediction of Effective Thermal Conductivities of Four-Directional Carbon/Carbon Composites by Unit Cells with Different Sizes
title_full_unstemmed Prediction of Effective Thermal Conductivities of Four-Directional Carbon/Carbon Composites by Unit Cells with Different Sizes
title_sort prediction of effective thermal conductivities of four-directional carbon/carbon composites by unit cells with different sizes
publisher MDPI AG
series Applied Sciences
issn 2076-3417
publishDate 2021-01-01
description Two-unit cells developed to predict the effective thermal conductivities of four-directional carbon/carbon composites with the finite element method are proposed in this paper. The smaller-size unit cell is formulated from the larger-size unit cell by two 180° rotational transformations. The temperature boundary conditions corresponding to the two-unit cells are derived, and the validity is verified by the temperature and heat flux distributions at specific positions of the larger-size unit cell and the smaller-size unit cell. The thermal conductivities of the carbon fiber bundles and carbon fiber rods are measured firstly. Then, combined with the properties of the matrix, the effective thermal conductivities of the four-directional carbon/carbon composites are numerically predicted. The results in transverse direction predicted by the larger-size unit cell and the smaller-size unit cell are both higher than experimental values, which are 5.8 to 6.2% and 7.3 to 8.2%, respectively. In longitudinal direction, the calculated thermal conductivities of the larger-size unit cell and the smaller-size unit cell are 6.8% and 6.2% higher than the experimental results, respectively. In addition, carbon fiber rods with different diameters are set to clarify the influence on the effective thermal conductivities of the four-directional carbon/carbon composites.
topic four-directional carbon/carbon composites
unit cell
finite element method
effective thermal conductivity
symmetry transformation
url https://www.mdpi.com/2076-3417/11/3/1171
work_keys_str_mv AT changxu predictionofeffectivethermalconductivitiesoffourdirectionalcarboncarboncompositesbyunitcellswithdifferentsizes
AT zhihongsun predictionofeffectivethermalconductivitiesoffourdirectionalcarboncarboncompositesbyunitcellswithdifferentsizes
AT guoweishao predictionofeffectivethermalconductivitiesoffourdirectionalcarboncarboncompositesbyunitcellswithdifferentsizes
_version_ 1724320270005567488