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王贺权(1973—),男,河北唐山人,教授,博士,主要研究方向为复合材料与涂层技术,E-mail: neuwhq@163.com。 |
收稿日期: 2025-01-07
修回日期: 2025-03-24
录用日期: 2025-03-28
网络出版日期: 2026-03-12
基金资助
辽宁省航发材料摩擦学重点实验室开放课题(LKLAMTF202204)
Thermal expansion properties of SiCf /SiC ceramic matrix composites in different directions
Received date: 2025-01-07
Revised date: 2025-03-24
Accepted date: 2025-03-28
Online published: 2026-03-12
为了给2.5D SiCf /SiC陶瓷基复合材料的热力学研究提供一定的思路,采用仿真模拟与实验对照的方法研究了2.5D SiCf /SiC陶瓷基复合材料在不同方向上的热膨胀系数及热膨胀各向异性行为。在2.5D SiCf /SiC陶瓷基复合材料0°、45°、90° 3个方向上分别测试了100~1 200 ℃范围内12个不同温度梯度的热膨胀系数,分析了方向和温度对材料热膨胀系数的影响,并建立不同方向的仿真模型,模拟实验加热过程,仿真得到材料的热膨胀系数。结果表明,随着温度的升高,热膨胀系数先增大再逐渐趋于稳定。在方向上,材料在45°方向上的热膨胀系数大于其他两个方向,90°方向上的热膨胀系数最小。通过仿真模型的热变形数据结果计算得出材料的热膨胀系数,得出Pearson相关系数分别为0.968 06、0.974 19、0.917 37,证明了模型的有效性,为以后的研究奠定了基础。
关键词: 2.5D SiCf /SiC; 陶瓷基复合材料; 各向异性; 温度梯度; 热膨胀系数
王贺权 , 郜加乐 . SiCf /SiC陶瓷基复合材料不同方向的热膨胀性能[J]. 沈阳航空航天大学学报, 2026 , 43(1) : 26 -32 . DOI: 10.3969/j.issn.2095-1248.2026.01.004
Simulation and experimental comparison methods were used to study the thermal expansion coefficient and anisotropic thermal expansion behavior of 2.5D SiCf /SiC ceramic matrix composites in different directions to provide certain ideas for the thermodynamic research. Thermal expansion coefficient of 12 temperature gradients in the range of 100~1 200 ℃ in the 0°,45° and 90° directions of 2.5D SiCf /SiC ceramic matrix composite were measured respectively to analyze the influence of direction and temperature. Then simulation models in different directions were established to simulate the experimental heating process and to get thermal expansion coefficient of the material. The results show that the coefficient of thermal expansion increases with temperature rises and then gradually stabilizes. In terms of direction, the thermal expansion coefficient of the material in the direction of 45° is greater than that of the other two directions, and in the direction of 90° is the smallest. The thermal expansion coefficient is calculated through the thermal deformation data results of the simulation model. The calculated Pearson correlation coefficients are 0.968 06, 0.974 19 and 0.917 37, which proves the validity of the model and lays the foundation for future research.
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