Analysis on microscopic damage evolution in components of resin-based composite materials for engine nozzles
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摘要:
为了准确描述树脂基三维针刺复合材料细观结构对力学性能的影响,对复合材料开展了原位拉伸微观X射线计算机断层扫描实验,结合图像处理技术和细观结构重构方法,完成了孔隙、裂纹、纤维精细化结构的量化分析,得到了孔隙体积等参数的变化规律,建立了材料三维应变场。提出图像边界路径提取算法和断层扫描数据重构算法,建立了铺层有限元模型。结果表明:树脂基复合材料在拉伸载荷下不同铺层损伤演化规律不同,编织纤维层上的损伤主要集中在基体与经向纤维上;单向纤维层损伤集中于纤维束之间,损伤沿着拉伸方向的垂直方向扩展;而网胎纤维层的最大损伤点出现于针刺结构处,针刺工艺在提升层间强度的同时不可避免地会对材料性能造成影响;在拉伸载荷作用下,编织纤维层承载能力最强,拉伸应变为3%时,损伤状态参数均小于0.1。网胎纤维层由于其较高的孔隙率,在拉伸应变为3%时,损伤最高,损伤状态参数为0.605。
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关键词:
- 树脂基三维针刺复合材料 /
- 计算机断层扫描 /
- 增量全局数字体相关法 /
- 等效刚度 /
- 损伤演化
Abstract:To accurately characterize the influence of the mesostructure of three-dimensional needle-punched resin matrix composites on their mechanical properties, in-situ tensile micro X-ray computed tomography experiments were performed on the composites. By integrating image processing techniques and mesostructural reconstruction methods, quantitative analysis of fine structural features such as pores, cracks, and fiber architectures was completed, the evolution patterns of pore volume parameters were revealed and a three-dimensional strain field of the material was established. An image boundary path extraction algorithm and tomographic data reconstruction algorithm were proposed, enabling the construction of a layered finite element model. The results indicated that resin-based composites exhibited distinct damage evolution behaviors across different fiber architectures under tensile loading: damage in woven fiber layers primarily concentrated on the matrix and warp fibers; damage in unidirectional fiber layers occurred between fiber bundles and propagated perpendicular to the tensile direction; the maximum damage in non-woven fiber layers appeared at needle-punched structures, demonstrating that the needling process enhanced interlayer strength while inevitably degrading material performance. Under tensile loading, the woven fiber layer exhibited the highest load-bearing capacity, with damage state parameters remaining below 0.1 at a tensile strain of 3%. In contrast, the non-woven fiber layer, due to its higher porosity, showed the most severe damage under the same strain, with a damage state parameter of 0.605.
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表 1 等效弹性性能预测采用的基体、纤维属性参数
Table 1. Matrix and fiber property parameters used for equivalent elastic performance prediction
组分 密度/(g/cm3) 弹性模量/GPa 泊松比 纤维 1.80 230 0.3 基体 1.05 3.2 0.3 表 2 纤维束弹性性能参数预测验证
Table 2. Prediction and verification of elastic performance parameters of fiber bundles
项目 E11/GPa E22/GPa E33/GPa G12/GPa G13/GPa G23/GPa υ12 υ13 υ23 预测值 188.86 9.76 8.726 4.77 4.76 3.289 0.309 0.316 0.503 Chamis经验公式计算值 188.33 9.36 9.36 5.04 5.04 3.03 0.3 0.3 0.53 误差/% 0.28 4.27 7.26 5.66 5.88 8.55 3 5.3 5.37 -
[1] 李明旭. 针刺碳/碳复合材料超高温拉伸力学性能试验研究[D]. 哈尔滨: 哈尔滨工业大学, 2020. Li Mingxu. Experimental study on ultra-high temperature tensile mechanical properties of needle-punched C/C composites[D]. Harbin: Harbin Institute of Technology, 2020. (in ChineseLi Mingxu. Experimental study on ultra-high temperature tensile mechanical properties of needle-punched C/C composites[D]. Harbin: Harbin Institute of Technology, 2020. (in Chinese) [2] 徐桂荣, 马腾飞, 李洋, 等. 先进树脂基复合材料层合结构纤维屈曲超声检测技术研究进展[J]. 航空制造技术, 2021, 64(21): 34-42. Xu Guirong, Ma Tengfei, Li Yang, et al. Research progress of ultrasonic testing and evaluation technology for fiber buckling defects of laminated structure of advanced resin matrix composites[J]. Aeronautical Manufacturing Technology, 2021, 64(21): 34-42. (in Chinese doi: 10.16080/j.issn1671-833x.2021.21.034Xu Guirong, Ma Tengfei, Li Yang, et al. Research progress of ultrasonic testing and evaluation technology for fiber buckling defects of laminated structure of advanced resin matrix composites[J]. Aeronautical Manufacturing Technology, 2021, 64(21): 34-42. (in Chinese) doi: 10.16080/j.issn1671-833x.2021.21.034 [3] 周建民, 陈超, 涂文兵, 等. 红外热波技术、有限元与SVM相结合的复合材料分层缺陷检测方法[J]. 仪器仪表学报, 2020, 41(3): 29-38. Zhou Jianmin, Chen Chao, Tu Wenbing, et al. Composite layer defect detection method based on infrared heat wave technology, finite element and SVM[J]. Chinese Journal of Scientific Instrument, 2020, 41(3): 29-38. (in Chinese doi: 10.19650/j.cnki.cjsi.J1905663Zhou Jianmin, Chen Chao, Tu Wenbing, et al. Composite layer defect detection method based on infrared heat wave technology, finite element and SVM[J]. Chinese Journal of Scientific Instrument, 2020, 41(3): 29-38. (in Chinese) doi: 10.19650/j.cnki.cjsi.J1905663 [4] 钱奇伟, 张昕, 杨贞军, 等. 基于CT图像深度学习的三维编织C/C复合材料微观组分与缺陷智能识别[J]. 复合材料学报, 2024, 41(7): 3536-3543. Qian Qiwei, Zhang Xin, Yang Zhenjun, et al. Intelligent identification of micro components and defects of 3D braided C/C composites based on deep learning of X-ray CT images[J]. Acta Materiae Compositae Sinica, 2024, 41(7): 3536-3543. (in Chinese doi: 10.13801/j.cnki.fhclxb.20231101.001Qian Qiwei, Zhang Xin, Yang Zhenjun, et al. Intelligent identification of micro components and defects of 3D braided C/C composites based on deep learning of X-ray CT images[J]. Acta Materiae Compositae Sinica, 2024, 41(7): 3536-3543. (in Chinese) doi: 10.13801/j.cnki.fhclxb.20231101.001 [5] Wang Zhangwen, Wang Bing, Qin Xiaoqiang, et al. The effect of fiber preform configuration on in-plane compressive behavior of high porosity needled carbon/carbon composites in elevated temperature environment[J]. Ceramics International, 2022, 48(17): 25355-25367. doi: 10.1016/j.ceramint.2022.05.209 [6] Ai Shigang, Zhu Xiaolei, Mao Yiqi, et al. Finite element modeling of 3D orthogonal woven C/C composite based on micro-computed tomography experiment[J]. Applied Composite Materials, 2014, 21(4): 603-614. doi: 10.1007/s10443-013-9353-4 [7] Xie Junbo, Liang Jun, Fang Guodong, et al. Effect of needling parameters on the effective properties of 3D needled C/C-SiC composites[J]. Composites Science and Technology, 2015, 117: 69-77. doi: 10.1016/j.compscitech.2015.06.003 [8] 陈复兴. 基于高分辨率CT技术的碳/碳复合材料微结构分析[D]. 南昌: 南昌航空大学, 2014. Chen Fuxing. Microstructure analysis of carbon/carbon composite material based on high-resolution computed tomography technology[D]. Nanchang: Nanchang Hangkong University, 2014. (in ChineseChen Fuxing. Microstructure analysis of carbon/carbon composite material based on high-resolution computed tomography technology[D]. Nanchang: Nanchang Hangkong University, 2014. (in Chinese) [9] Sun Mengyao, Liu Xiaodong, Zhang Diantang, et al. Effects of structural defects on low-velocity impact damage mechanisms of three-dimensional braided composites based on X-ray micro-computed tomography[J]. Polymer Testing, 2021, 104: 107403. doi: 10.1016/j.polymertesting.2021.107403 [10] 邵梦洁, 谢军波, 杨志, 等. 基于Micro-CT技术的3D机织预制件细观结构分析[J]. 复合材料学报, 2022, 39(8): 4129-4138. Shao Mengjie, Xie Junbo, Yang Zhi, et al. Analysis of meso-structure of 3D woven preforms based on the Micro-CT technology[J]. Acta Materiae Compositae Sinica, 2022, 39(8): 4129-4138. (in Chinese doi: 10.13801/j.cnki.fhclxb.20211102.001Shao Mengjie, Xie Junbo, Yang Zhi, et al. Analysis of meso-structure of 3D woven preforms based on the Micro-CT technology[J]. Acta Materiae Compositae Sinica, 2022, 39(8): 4129-4138. (in Chinese) doi: 10.13801/j.cnki.fhclxb.20211102.001 [11] Guo Weiyu, Zhang Daxu, Zhang Yi, et al. Tensile damage evolution and mechanical behaviour of SiCf/SiC mini-composites through 4D in-situ micro-CT and data-driven modelling[J]. Composites Part B: Engineering, 2024, 279: 111439. doi: 10.1016/j.compositesb.2024.111439 [12] 陈城华. 基于Micro-CT的三维编织复合材料精细化建模与力学性能分析[D]. 哈尔滨: 哈尔滨工业大学, 2017. Chen Chenghua. Refine modeling of three-dimensional braided composites based on Micro-CT and analysising of mechanical properties[D]. Harbin: Harbin Institute of Technology, 2017. (in ChineseChen Chenghua. Refine modeling of three-dimensional braided composites based on Micro-CT and analysising of mechanical properties[D]. Harbin: Harbin Institute of Technology, 2017. (in Chinese) [13] 许承海, 徐凯, 宋乐颖, 等. 多向轴编碳/碳材料炭基体微结构Micro-CT原位扫描及其等效力[J]. 复合材料学报, 2013, 30(增刊1): 193-198. Xu Chenghai, Xu Kai, Song Leying, et al. Microstructure characterization from X-ray micro-tomography and equivalent mechanical properties of carbon matrix of 4D in-plane carbon/carbon composites[J]. Acta Materiae Compositae Sinica, 2013, 30(Suppl. 1): 193-198. (in ChineseXu Chenghai, Xu Kai, Song Leying, et al. Microstructure characterization from X-ray micro-tomography and equivalent mechanical properties of carbon matrix of 4D in-plane carbon/carbon composites[J]. Acta Materiae Compositae Sinica, 2013, 30(Suppl. 1): 193-198. (in Chinese) [14] 杨斌, 王继辉, 冯雨薇, 等. 织物增强复合材料Micro-CT辅助数值仿真技术研究进展[J]. 复合材料学报, 2023, 40(10): 5466-5485. Yang Bin, Wang Jihui, Feng Yuwei, et al. Advances in Micro-CT aided numerical simulation of fabric-reinforced composites[J]. Acta Materiae Compositae Sinica, 2023, 40(10): 5466-5485. (in Chinese doi: 10.13801/j.cnki.fhclxb.20230427.001Yang Bin, Wang Jihui, Feng Yuwei, et al. Advances in Micro-CT aided numerical simulation of fabric-reinforced composites[J]. Acta Materiae Compositae Sinica, 2023, 40(10): 5466-5485. (in Chinese) doi: 10.13801/j.cnki.fhclxb.20230427.001 [15] 刘海龙, 张大旭, 祁荷音, 等. 基于X射线CT原位试验的平纹SiC/SiC复合材料拉伸损伤演化[J]. 上海交通大学学报, 2020, 54(10): 1074-1083. Liu Hailong, Zhang Daxu, Qi Heyin, et al. Tensile damage evolution of plain weave SiC/SiC composites based on in-situ X-ray CT tests[J]. Journal of Shanghai Jiao Tong University, 2020, 54(10): 1074-1083. (in Chinese doi: 10.16183/j.cnki.jsjtu.2019.274Liu Hailong, Zhang Daxu, Qi Heyin, et al. Tensile damage evolution of plain weave SiC/SiC composites based on in-situ X-ray CT tests[J]. Journal of Shanghai Jiao Tong University, 2020, 54(10): 1074-1083. (in Chinese) doi: 10.16183/j.cnki.jsjtu.2019.274 [16] Yang Tiantian, Qiu Haipeng, Liu Xiaodong, et al. Micro-CT based statistical geometry modeling and numerical verification of 2.5D sicf/sic composite[J]. Applied Composite Materials, 2021, 28(3): 835-854. doi: 10.1007/s10443-021-09900-3 [17] 李步炜, 尧军平, 陈国鑫, 等. SiC/AZ91D复合材料中孔隙缺陷对裂纹萌生和扩展行为的影响[J]. 复合材料学报, 2024, 41(3): 1554-1566. Li Buwei, Yao Junping, Chen Guoxin, et al. Effect of porosity defects on crack initiation and propagation behavior in SiC/AZ91D composites[J]. Acta Materiae Compositae Sinica, 2024, 41(3): 1554-1566. (in Chinese doi: 10.13801/j.cnki.fhclxb.20230711.002Li Buwei, Yao Junping, Chen Guoxin, et al. Effect of porosity defects on crack initiation and propagation behavior in SiC/AZ91D composites[J]. Acta Materiae Compositae Sinica, 2024, 41(3): 1554-1566. (in Chinese) doi: 10.13801/j.cnki.fhclxb.20230711.002 [18] Li Yong, Chi Yanmeng, Han Shanling, et al. Pore-throat structure characterization of carbon fiber reinforced resin matrix composites: Employing Micro-CT and Avizo technique[J]. PLoS One, 2021, 16(9): e0257640. doi: 10.1371/journal.pone.0257640 [19] GB/T 33613-2017 三维编织物及其树脂基复合材料拉伸性能试验方法[S]. [20] Wang Yuansong, Chen Qingling, Luo Quantian, et al. Characterizing damage evolution in fiber reinforced composites using in-situ X-ray computed tomography, deep machine learning and digital volume correlation (DVC)[J]. Composites Science and Technology, 2024, 254: 110650. doi: 10.1016/j.compscitech.2024.110650 [21] 朱昭君, 强洪夫, 王哲君. 轴编炭/炭复合材料组分材料的微细观热结构特性分析[J]. 兵工学报, 2020, 41(5): 996-1006. Zhu Zhaojun, Qiang Hongfu, Wang Zhejun. Analysis of micro-mesoscopic thermo-structural characteristics of component materials of 4D carbon/carbon composites[J]. Acta Armamentarii, 2020, 41(5): 996-1006. (in Chinese doi: 10.3969/j.issn.1000-1093.2020.05.019Zhu Zhaojun, Qiang Hongfu, Wang Zhejun. Analysis of micro-mesoscopic thermo-structural characteristics of component materials of 4D carbon/carbon composites[J]. Acta Armamentarii, 2020, 41(5): 996-1006. (in Chinese) doi: 10.3969/j.issn.1000-1093.2020.05.019 [22] 欧阳勇. 复合材料参数化随机单胞模型及应用[D]. 湘潭: 湘潭大学, 2012. Ouyang Yong. Parametric random unit cell model for composites and its application[D]. Xiangtan: Xiangtan University, 2012. (in ChineseOuyang Yong. Parametric random unit cell model for composites and its application[D]. Xiangtan: Xiangtan University, 2012. (in Chinese) [23] 钱震, 曹宇, 周耀忠, 等. 基于X射线原位拉伸的三维针刺预制体增强纳米孔酚醛复合材料的微观损伤演化[J]. 复合材料学报, 2023, 40(8): 4460-4470. Qian Zhen, Cao Yu, Zhou Yaozhong, et al. Micro-fracture behaviors of 3D needle punching fabric reinforced nanoporous phenolic composites based on in-situ X-ray[J]. Acta Materiae Compositae Sinica, 2023, 40(8): 4460-4470. (in Chinese doi: 10.13801/j.cnki.fhclxb.20221014.005Qian Zhen, Cao Yu, Zhou Yaozhong, et al. Micro-fracture behaviors of 3D needle punching fabric reinforced nanoporous phenolic composites based on in-situ X-ray[J]. Acta Materiae Compositae Sinica, 2023, 40(8): 4460-4470. (in Chinese) doi: 10.13801/j.cnki.fhclxb.20221014.005 [24] 吴港本. 基于多尺度分析方法的二维三轴编织复合材料力学性能研究[D]. 北京: 北京化工大学, 2023. Wu Gangben. Research on mechanical properties of two-dimensional triaxially braided composites based on multiscale analysis method[D]. Beijing: Beijing University of Chemical Technology, 2023. (in ChineseWu Gangben. Research on mechanical properties of two-dimensional triaxially braided composites based on multiscale analysis method[D]. Beijing: Beijing University of Chemical Technology, 2023. (in Chinese) [25] Zhang Sheng, Wang Kaiyu, Zhang Huajun, et al. An improved YOLOv8 for fiber bundle segmentation in X-ray computed tomography images of 2.5D composites to build the finite element model[J]. Composites Part A: Applied Science and Manufacturing, 2024, 185: 108337. doi: 10.1016/j.compositesa.2024.108337 [26] Yu Jian, Zhou Chuwei, Zhang Haijun. A micro-image based reconstructed finite element model of needle-punched C/C composite[J]. Composites Science and Technology, 2017, 153: 48-61. doi: 10.1016/j.compscitech.2017.09.029 -

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