单向纤维束SiC/SiC复合材料强度统计分布规律与微结构损伤分析  被引量:1

Statistical distribution pattern of strength and microstructural damage analysis of unidirectional fiber bundle SiC/SiC composites

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作  者:张晨 孙国栋[1] 雷豹 李旭勤 张青[4] 孟志新[4,5] 高祥云 ZHANG Chen;SUN Guodong;LEI Bao;LI Xuqin;ZHANG Qing;MENG Zhixin;GAO Xiangyun(School of Materials Science and Engineering,Chang'an University,Xi'an 710064,China;China Academy of Launch Vehicle Technology,Beijing 100076,China;School of Materials and Environmental Engineering,Chengdu Technological University,Chengdu 611730,China;Science and Technology on Thermostructural Composite Materials Laboratory,Northwestern Polytechnical University,Xi'an 710072,China;School of Materials Engineering,Xi'an Aeronautical Institute,Xi'an 710077,China)

机构地区:[1]长安大学材料科学与工程学院,西安710064 [2]中国运载火箭技术研究院,北京100076 [3]成都工业学院材料与环境工程学院,成都611730 [4]西北工业大学超高温结构复合材料重点实验室,西安710072 [5]西安航空学院材料工程学院,西安710077

出  处:《复合材料学报》2023年第7期4210-4225,共16页Acta Materiae Compositae Sinica

基  金:国家自然科学基金(52272034);陕西省重点研发计划(2021 GY-252);陕西省重点研发计划重点产业创新链(群)-工业领域(2021 ZDLGY14-10);四川省自然科学基金项目(2022 NSFSC0327)~~。

摘  要:SiC/SiC复合材料力学性能离散性来源于其结构单元和微结构特征。本文针对结构最简单的单向纤维束SiC/SiC复合材料,通过双参数Weibull分布和中位估计分布分析其强度分布规律,基于该复合材料各组元(基体、界面相、纤维)微结构的深度学习来揭示其离散性。结果表明:小试炉和中试炉制备的单向纤维束SiC/SiC的拉伸强度分别位于(331.02 MPa,407.82 MPa)和(161.09 MPa,540.95 MPa);前者威布尔模数(20.59)比后者(5.01)高出75.7%,表明中试的离散性增大。断口形貌深度学习结果表明:基体开裂、界面偏转和纤维断裂拔出是主要的失效机制,定量分析得到基体裂纹间距分布于(83.2μm,107.8μm),通过细观力学公式计算表明基体非均匀性为影响复合材料可靠性的主要原因。The discrete mechanical properties of SiC/SiC composites originate from their structural units and microstructural features.In this paper,for the unidirectional fiber bundle SiC/SiC composites with the simplest structure,the strength distribution pattern was analyzed by the two-parameter Weibull distribution and the median estimated distribution,and the discrete nature was revealed based on the deep learning of the microstructure of each group element(matrix,interface phase,and fiber)of the composites.The results show that the tensile strengths of the unidirectional fiber bundle SiC/SiC prepared in the small and medium test furnaces are located at(331.02 MPa,407.82 MPa)and(161.09 MPa,540.95 MPa),respectively.The former Weibull modulus(20.59)is 75.7%higher than the latter(5.01),indicating an increase in the dispersion of the medium test.The results of deep learning of fracture morphology show that matrix cracking,interface deflection and fiber fracture pullout are the main failure mechanisms,and due to the distribution of matrix crack spacing at(83.2μm,107.8μm),the calculation by the micromechanical equation indicates that matrix nonuniformity is the main reason affecting the reliability of the composites.

关 键 词:单向纤维束SiC/SiC 微结构 WEIBULL分布 深度学习 拉伸性能 

分 类 号:TB332[一般工业技术—材料科学与工程] V258.3[航空宇航科学与技术—航空宇航制造工程]

 

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