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首页> 外文期刊>Applied thermal engineering: Design, processes, equipment, economics >A Monte Carlo simulation and effective thermal conductivity calculation for unidirectional fiber reinforced CMC
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A Monte Carlo simulation and effective thermal conductivity calculation for unidirectional fiber reinforced CMC

机译:单向纤维增强CMC的蒙特卡洛模拟和有效导热系数计算

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摘要

Due to the high thermal-mechanical performance, ceramic matrix composite (CMC) is regarded as an alternate material for high temperature components of aircrafts. The thermal conductivity of unidirectional CMC is sensitive to its microstructural characteristics. Herein, the Monte Carlo method is introduced to simulate the real distribution of fibers and air pores. The complete procedure is programmed by ANSYS Parametric Design Language and executed automatically. The effective thermal conductivity of this composite at room temperature is calculated. The effect of fiber arrangement as well as matrix porosity with different fiber fractions is studied. The statistic results are gotten and both longitudinal and transverse thermal conductivity are computed. The random arrangement of fibers can result in a deviation of transverse thermal conductivity in different calculation times. The amount of air pores in matrix can also affect thermal conductivity of this material. This method is proved to be valid and accurate by comparison of numeric and experimental data; the relative error is less than 2%. The method can be used as an effective supplement of theoretical analysis and general FEM calculation for thermal conductivity. (C) 2015 Elsevier Ltd. All rights reserved.
机译:由于高的热机械性能,陶瓷基复合材料(CMC)被视为飞机高温部件的替代材料。单向CMC的热导率对其微结构特征敏感。在这里,介绍了蒙特卡罗方法来模拟纤维和气孔的真实分布。完整程序由ANSYS Parametric Design Language编程并自动执行。计算该复合材料在室温下的有效导热系数。研究了不同纤维比例下纤维排列以及基质孔隙率的影响。获得统计结果,并计算纵向和横向热导率。纤维的随机排列会导致在不同的计算时间中横向导热系数的偏差。基质中气孔的数量也会影响该材料的导热率。通过数值和实验数据的比较证明了该方法的有效性和准确性。相对误差小于2%。该方法可作为热导率理论分析和一般有限元计算的有效补充。 (C)2015 Elsevier Ltd.保留所有权利。

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