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轴编C/C复合材料性能预示及细观参数优化研究 被引量:2

Study on properties prediction and microstructure optimization of axial braided carbon/carbon composite
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摘要 为了研究微细观结构特征对轴编C/C复合材料宏观性能的影响,将均匀化方法、能量法与有限元方法相结合,以单胞模型为基础,建立了材料的宏观性能预示模型.结合Python语言编程生成满足细观组分微结构特征分布规律的几何模型,并利用有限元方法和试验结果对其刚度性能进行厘定,作为宏观性能预示的参数输入.利用预示模型对材料宏观性能进行预示,与试验结果的一致性较好.通过对具有不同编织间距和纤维棒直径材料的性能进行预示,获得了其性能随编织间距及纤维棒直径的变化规律.采用的研究手段及结果可以为复合材料的工艺优化及合理应用提供重要参考. In order to study the effect of microstructure characteristics on the macroscopic properties of axial braided C/C composites,the macroscopic properties prediction model of the composites was established by combining the homogenization method,the energy method and the FEM.In combination with Python language,a geometric model satisfying the distribution law of microstructure characteristics of mesoscopic component material was generated,and its stiffness properties were determined with the help of FEM and experimental results,which was used as the parameters input for the prediction of macroscopic properties.The prediction model was used to predict the macroscopic properties of the material,which was in good agreement with the experimental results.By predicting the properties of materials with different braided spacing and fiber rod diameter,the variation of the properties with braided spacing and fiber rod diameter was obtained.The research methods and results in this paper can provide important reference for the process optimization and rational application of composite materials.
作者 王春光 朱涛 唐敏 曹鹏 WANG Chun-guang;ZHU Tao;TANG Min;CAO Peng(College of Electrical and Control Engineering, Shaanxi University of Science & Technology, Xi′an 710021, China;The 41st Institute, The Fourth Academy of CASC, Xi′an 710025, China;The Fourth Academy of CASC, Xi′an 710025, China;College of Architecture and Civil Engineering, Beijing University of Technology, Beijing 100124, China)
出处 《陕西科技大学学报》 CAS 2020年第4期141-146,158,共7页 Journal of Shaanxi University of Science & Technology
基金 国家自然科学基金项目(51769028)。
关键词 轴编C/C复合材料 宏观性能 预示方法 微结构特征 编织间距 axial braided C/C composites macroscopic properties prediction method microstructure characteristics braided spacing
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