今日更新:Composite Structures 1 篇,Composites Part A: Applied Science and Manufacturing 2 篇,Composites Science and Technology 1 篇
Effective heat conductivity of composites with stochastic microstructure using asymptotic homogenization
Hamidreza Dehghani, Henri Perrin, Salim Belouettar
doi:10.1016/j.compstruct.2024.118364
随机微观结构复合材料的有效导热系数
This contribution presents a comprehensive methodology aimed at determining the effective heat conductivity of composites with stochastic microstructure by analyzing micro Computerized Tomography ( μ CT) images. We revisit asymptotic homogenization for multiscale analysis of transient heat problems and derive systems of partial differential equations (PDEs) governing the homogenized problem and two new cell problems, which are solved numerically using the Finite Element (FE) method to identify the effective thermal conductivity. The methodology does not require enforcing Dirichlet Boundary Conditions (BCs) on the interfaces, making it well-suited for analyzing stochastic microstructures with irregular interfaces. Following image preprocessing and segmentation to identify the pores (void) and the solid matrix, the workflow transforms the segmented image into a periodic computational domain suitable for the upscaling procedure to identify the effective thermal conductivity tensor. We employ the open-source computing platform FEniCSx, along with its Multi-Point Constraints (MPC), to solve the computational problems and enforce the periodic boundary condition (PBC), eliminating the need for one-by-one mapping of inlet and outlet computational nodes. To validate the methodology, we apply it to model a bi-laminated composite and compare the obtained results with analytical values. This is followed by statistical descriptions of μ CT images of several samples, together with a comprehensive representativity analysis using multiple RVE realizations approach. We find the results of statistical descriptions useful to guide us in selecting suitable RVE sizes.
本文提出了一种综合的方法,旨在通过分析微计算机断层扫描(μ CT)图像来确定具有随机微观结构的复合材料的有效导热性。我们重新研究了瞬态热问题多尺度分析的渐近均匀化问题,并推导了控制均匀化问题的偏微分方程系统和两个新的单元问题,并使用有限元(FE)方法对其进行数值求解以确定有效导热系数。该方法不需要在界面上施加Dirichlet边界条件(bc),使其非常适合分析具有不规则界面的随机微观结构。在对图像进行预处理和分割以识别孔隙(空隙)和固体矩阵之后,该工作流将分割后的图像转换为适合于升级程序的周期性计算域,以识别有效导热张量。我们采用开源计算平台FEniCSx及其多点约束(MPC)来解决计算问题并执行周期边界条件(PBC),从而消除了对入口和出口计算节点逐一映射的需要。为了验证该方法,我们将其应用于双层复合材料的模型,并将所得结果与分析值进行比较。随后对多个样本的μ CT图像进行统计描述,并使用多RVE实现方法进行全面的代表性分析。我们发现统计描述的结果有助于指导我们选择合适的RVE大小。
Overcoming the cohesive zone limit in the modelling of composites delamination with TUBA cohesive elements
Giorgio Tosti Balducci, Boyang Chen
doi:10.1016/j.compositesa.2024.108356
利用TUBA黏聚元克服复合材料分层模型黏聚区限制
The wide adoption of composite structures in the aerospace industry requires reliable numerical methods to account for the effects of various damage mechanisms, including delamination. Cohesive elements are a versatile and physically representative way of modelling delamination. However, using their standard form which conforms to solid substrate elements, multiple elements are required in the narrow cohesive zone, thereby requiring an excessively fine mesh and hindering the applicability in practical scenarios. The present work focuses on the implementation and testing of triangular thin plate substrate elements and compatible cohesive elements, which satisfy C 1 -continuity in the domain. The improved regularity meets the continuity requirement coming from the Kirchhoff Plate Theory and the triangular shape allows for conformity to complex geometries. The overall model is validated for mode I delamination, the case with the smallest cohesive zone. Very accurate predictions of the limit load and crack propagation phase are achieved, using elements as large as 11 times the cohesive zone.
复合材料结构在航空航天工业中的广泛应用需要可靠的数值方法来考虑各种损伤机制的影响,包括分层。内聚元素是一种通用的、具有物理代表性的分层建模方法。但是,采用符合固体基元的标准形式时,在狭窄的黏聚区内需要多个元,因而要求网格过细,阻碍了实际应用。本文研究了满足域内c1连续性的三角形薄板衬底元件和相容内聚元件的实现和测试。改进的规则性符合基尔霍夫板块理论的连续性要求,三角形的形状允许与复杂的几何形状相符合。整体模型针对粘聚区最小的I型分层进行了验证。对于极限载荷和裂纹扩展阶段的非常精确的预测是通过使用11倍黏结区的单元实现的。
Enhancing the mechanical performance of composite corners through microstructural optimization and geometrical design
Vincent Varanges, Yann Lebaupin, Robin Amacher, Valentin Rougier, Valentin Schnyder, Jérome Aubry, Thibault Richard, Véronique Michaud
doi:10.1016/j.compositesa.2024.108362
通过微观结构优化和几何设计提高复合材料角件的力学性能
Processing carbon fiber-reinforced composites into corner sections through compression molding poses challenges due to the limited flowability of continuous prepregs, resulting in reduced curved beam strength (CBS). The use of discontinuous plies was explored, including random HexMC and unidirectional chopped strand (CS) prepreg. A first comparison on flat UD or Quasi Iso (QI) plates highlighted the potential interest of CS in terms of stiffness and lower strength penalty as HexMC. The iso-thickness corners produced from HexMC reached a CBS of 1 kN while CS QI had a CBS of 2.5 kN, overperforming corners made from neat prepregs (2.1kN) thanks to the improved flowability of the CS. By selecting an optimized geometry at equivalent mass, the CBS of CS corners further increased to 6.6kN. The performance of composite corners can thus be greatly enhanced by a combination of the material microstructural arrangement and the geometrical design of the mold.
由于连续预浸料的流动性有限,导致弯曲梁强度(CBS)降低,因此通过压缩成型将碳纤维增强复合材料加工成角段存在挑战。探讨了不连续层的使用,包括随机HexMC和单向切碎链(CS)预浸料。对平面UD或准Iso (QI)板的第一次比较突出了CS在刚度和较低强度损失方面的潜在兴趣。HexMC生产的等厚角的CBS值为1kN,而CS QI的CBS值为2.5 kN,由于CS的流动性得到改善,其性能优于纯预浸料(2.1kN)。通过选择优化的等质量几何形状,CS弯角的CBS进一步提高到6.6kN。因此,将材料的微观结构安排与模具的几何设计相结合,可以大大提高复合角件的性能。
Flexible Multifunctional Magnetic-Conductive Janus Nanocomposite Films Towards Highly-Efficient Electromagnetic Interference Shielding and Thermal Management
Yu Zhang, Xinpei Zuo, Shuai Zhang, Zhonglei Ma, Guangcheng Zhang
doi:10.1016/j.compscitech.2024.110756
面向高效电磁干扰屏蔽和热管理的柔性多功能导磁Janus纳米复合薄膜
The rapid development of aerospace, intelligent wearable electronics and 5G communications puts forward higher demands for electromagnetic interference (EMI) shielding materials. Herein, the flexible multifunctional magnetic-conductive Janus nanocomposite films with magnetic cobalt carbide nanowires/bacterial cellulose (Co@C NW/BC) blends as the upper side, and conductive Ti3C2Tx MXene as the bottom side are obtained via the layer-by-layer (LBL) vacuum assisted filtration-hot pressing method. The two magnetic and conductive sides endow the Janus nanocomposite films with distinctly different performances in EMI shielding and thermal management. When the electromagnetic waves are incident from Co@C NW/BC side, the films exhibit a high EMI shielding effectiveness (EMI SE) of 49.8 dB with an enhanced microwave absorption (SEA) of 33.9 dB at the ultralow thickness of 43 μm. Meanwhile, the Ti3C2Tx side exhibits improved electrical heating performances with a surface temperature of 120°C at 6 V voltage, increased photothermal conversion temperature of 77.8°C upon 2.0 kW/m2 light intensity, as well as excellent thermal stealth properties with a low radiation temperature of 88.4°C on the 240°C hot stage. Moreover, the Janus nanocomposite films show a high tensile strength of 80.0 MPa. The resultant Janus nanocomposite films possess great application prospects in highly-efficient EMI shielding and thermal management.
航空航天、智能可穿戴电子、5G通信的快速发展,对电磁干扰屏蔽材料提出了更高的要求。以磁性碳化钴纳米线/细菌纤维素(Co@C NW/BC)为上侧,导电Ti3C2Tx MXene为下侧,采用分层真空辅助过滤-热压法制备了柔性多功能导磁Janus纳米复合薄膜。双面磁性和导电性使Janus纳米复合膜在电磁干扰屏蔽和热管理方面具有明显不同的性能。当电磁波从Co@C NW/BC侧入射时,薄膜在43 μm的超低厚度处具有49.8 dB的电磁干扰屏蔽效能和33.9 dB的微波吸收增强效应。同时,Ti3C2Tx侧的电加热性能得到了改善,在6 V电压下表面温度达到120°C,在2.0 kW/m2光强下光热转换温度提高到77.8°C,在240°C热阶段的低辐射温度达到88.4°C,具有优异的热隐身性能。此外,Janus纳米复合膜的抗拉强度高达80.0 MPa。所制备的Janus纳米复合薄膜在高效电磁干扰屏蔽和热管理方面具有广阔的应用前景。