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Thermal conductivities of a needle-punched carbon/carbon composite with unbalanced structures
Carbon Letters ( IF 5.5 ) Pub Date : 2020-08-06 , DOI: 10.1007/s42823-020-00174-6
Jungmin Lee , Hyung Ik Lee , Jong Gyu Paik

The XYZ 3-dimensional thermal conductivities of the C/C up to 2000 °C were measured by a laser flash method. Carbon fiber-reinforced carbon composites (C/C) were generally developed for aerospace missions due to their excellent thermal resistivity at ultrahigh temperature. C/C must endure harsh environments such as thousands of degrees Celsius without degradation of its mechanical properties. To solve this problem, among the passive thermal protection system, we suggest a method of conducting more heat through the mono-axial direction, which resulted in ease of the thermal rise in the heat receiving part. For example, the X-43A flight applied unbalanced C/C (UCC) with different carbon fiber orientation ratios according to the XY direction in the leading edge part. To investigate the difference in thermal conductivity between unbalanced C/C (UCC) and balanced C/C (BCC), unbalanced and balanced preforms were prepared by a needle punching process, and then they were densified by pitch infiltration and a carbonization process. We compared and analyzed the effects of unbalanced C/C(UCC) and balanced C/C (BCC) structures on the thermal conductivity. We also designed the “rule of mixtures” equation for calculating thermal conductivities of each C/C using reported data of carbon fiber and graphite matrix. Our calculations of thermal conductivity ratio match the ratio of real data.



中文翻译:

具有不平衡结构的针刺碳/碳复合材料的热导率

通过激光闪光法测量直至2000℃的C / C的XYZ 3维热导率。碳纤维增强碳复合材料(C / C)通常在超高温下具有出色的耐热性,因此通常用于航空航天领域。C / C必须承受恶劣的环境,例如数千摄氏度,而不会降低其机械性能。为了解决这个问题,在被动式热保护系统中,我们建议一种通过单轴方向传导更多热量的方法,从而使受热部分的热量容易升高。例如,X-43A飞行器根据XY应用了具有不同碳纤维取向比的不平衡C / C(UCC)前端部分的方向。为了研究不平衡C / C(UCC)和平衡C / C(BCC)之间的热导率差异,通过针刺工艺制备了不平衡和平衡的预成型坯,然后通过沥青浸渗和碳化工艺对其进行了致密化。我们比较并分析了不平衡C / C(UCC)和平衡C / C(BCC)结构对热导率的影响。我们还设计了“混合规则”公式,使用碳纤维和石墨基体的报告数据来计算每个C / C的热导率。我们计算的导热系数与实际数据的比例相匹配。

更新日期:2020-08-06
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