今日更新:Composite Structures 1 篇,Composites Part A: Applied Science and Manufacturing 1 篇,Composites Science and Technology 1 篇
Numerical analysis of an experimental ballistic test of Al/SiC functionally graded materials
Kada ZEMANI, Abdelghani MAY, Samir KHATIR, Lionel GILSON, Thanh Cuong-Le, Magd ABDEL WAHAB, Hana SLAMANI
doi:10.1016/j.compstruct.2024.117909
Al/SiC功能梯度材料实验弹道试验数值分析
Metal/ceramic functionally graded materials (FGMs) have been increasingly used for impact-resistant applications because of their ability to combine the strength of both components. However, understanding the local response of FGMs under ballistic impact conditions remains a complex nonlinear problem. Moreover, performing experimental investigations is difficult due to technical limitations in measuring critical parameters such as stress, strain, and pressure. That is why research in this field also concentrates on modeling methodologies, such as numerical simulations. In this study, a finite element model (FEM) was implemented to investigate the behavior of a particular metal/ceramic-based FGM impacted with fragment-simulating projectiles (FSPs). The studied FGMs, exhibiting an elastoplastic behavior, were composed of aluminum (Al) and silicon carbide (SiC). The ceramic volume fraction (Vc) varies according to a power-law distribution, through the thickness. Their effective material properties were evaluated using a homogeneization-based self-consistent method. FGM’s dynamic behavior was described using the dynamic Tamura-Tomota-Ozawa model (DTTO). The numerical simulations were in good correlation with experimental results. The importance of the DTTO model's introduction and the calibration of the plastic strain criterion in the failure modeling of FGMs were highlighted. In addition, it was observed that the variation in the composition exponent and grading continuity of mechanical properties has a significant effect on the predicted ballistic limit. It was finally noted that a linearly-composed 5-layer-based specimen exhibited a higher level of ballistic resistance.
金属/陶瓷功能梯度材料(fgm)越来越多地用于抗冲击应用,因为它们能够结合两种成分的强度。然而,了解fgm在弹道冲击条件下的局部响应仍然是一个复杂的非线性问题。此外,由于测量应力、应变和压力等关键参数的技术限制,进行实验研究是困难的。这就是为什么这个领域的研究也集中在建模方法上,比如数值模拟。在这项研究中,采用有限元模型(FEM)来研究特定金属/陶瓷基FGM受到碎片模拟弹丸(FSPs)撞击的行为。所研究的fgm由铝(Al)和碳化硅(SiC)组成,具有弹塑性性能。陶瓷体积分数(Vc)随厚度呈幂律分布。使用基于均匀化的自洽方法评估其有效材料性能。采用动态Tamura-Tomota-Ozawa模型(DTTO)描述了FGM的动力学行为。数值模拟结果与实验结果吻合较好。强调了DTTO模型的引入和塑性应变准则的标定在fgm失效建模中的重要性。此外,观察到成分指数的变化和力学性能的分级连续性对预测的弹道极限有显著影响。最后指出,线性组成的5层基试样具有更高的弹道阻力。
Novel ceramic matrix metastructure for high-temperature radar- infrared compatible stealth: Structure-function design and manufacture
Tengteng Xu, Zhimin An, Rubing Zhang
doi:10.1016/j.compositesa.2024.108030
高温雷达-红外兼容隐身新型陶瓷基元结构:结构功能设计与制造
Radar and infrared compatibility stealth at high temperature is difficult to achieve due to their opposing mechanism. Meanwhile, stealth structures are required to experience thermal insulation and load-bearing performance due to the high-temperature harsh environment and high velocity thermal airflows impacts. Currently, few materials can satisfy the above demands simultaneously. Herein, a ceramic matrix lattice sandwich metastructure with high-temperature radar infrared compatibility stealth characteristics, thermal insulation, and load-bearing capacities was exploited through the crossover design of electromagnetics, mechanics, and thermodynamics. A square lattice sandwich structure was constructed through interlocking technology with the rivaling out-of-plane compressive strength. The electromagnetic wave absorption property of metastructure is designed and optimized according to the equivalent circuit model based on the electrical loss theory. The metastructure exhibits excellent -10 dB absorption bandwidth at 800 °C of 4.5-14.8 GHz. Furthermore, the metastructure achieves infrared stealth at high temperature by reducing the surface temperature (from 1150 °C to 362 °C) of objects through gradient distribution structure. The lattice sandwich metastructure proposed here is expected to aid in the creation of advanced high-temperature multifunctional stealth materials.
由于雷达与红外的相互对抗机制,使得高温隐身难以实现。同时,由于高温恶劣环境和高速热气流的冲击,隐身结构需要具有隔热和承重性能。目前,很少有材料能同时满足以上要求。在此,通过电磁学、力学和热力学的交叉设计,开发了具有高温雷达红外兼容隐身特性、隔热和承载能力的陶瓷矩阵晶格夹层元结构。采用互锁技术构建了具有相当面外抗压强度的方形晶格夹层结构。根据基于损耗理论的等效电路模型,对元结构的电磁波吸收特性进行了设计和优化。该元结构在800°C的4.5-14.8 GHz波段具有优异的-10 dB吸收带宽。此外,该元结构通过梯度分布结构降低物体表面温度(从1150℃降至362℃),实现了高温下的红外隐身。本文提出的晶格夹层元结构有望帮助创造先进的高温多功能隐身材料。
Understanding macroscopic thermal conduction in composites reinforced with 2D nanosheets
Mingshan Yang, Xiangyu Li, Guozheng Kang, Weiqiu Chen
doi:10.1016/j.compscitech.2024.110450
了解二维纳米片增强复合材料的宏观热传导
Two-dimensional (2D) nanosheets, such as graphene and hexagonal boron nitride, are considered as the most promising fillers for enhancing thermal conductivity of polymers and phase-change materials. Nevertheless, the effect of various 2D nanosheets on the effective thermal conductivity of composites is not fully understood, and the corresponding prediction model is still lacking, since numerous influence factors and complex thermal transfer networks are involved. This paper aims to study the macroscopically effective thermal conductivity of the nanosheets-reinforced composites in a systematical way, and develop a robust machine learning based prediction model. To this end, a series of representative volume elements are reconstructed based on the SEM observations of experimental samples, and high-throughput simulations are performed via the updated lattice Boltzmann scheme proposed in our recent work. The effects of shape, size, orientation, intrinsic thermal conductivity, interface resistance, surface coating, and hybrid filling of the 2D nanosheets are clarified. This work could provide a deep insight into the effective thermal conductivity of the nanosheets-reinforced composites, and may offer important guidelines for the custom-design of polymer and phase-change composites with targeted thermal performances.
二维(2D)纳米片,如石墨烯和六方氮化硼,被认为是最有前途的填料,以提高聚合物和相变材料的导热性。然而,由于影响因素众多,热传递网络复杂,各种2D纳米片对复合材料有效导热系数的影响尚不完全清楚,也缺乏相应的预测模型。本文旨在系统地研究纳米片增强复合材料的宏观有效导热系数,并建立基于机器学习的鲁棒预测模型。为此,基于实验样品的SEM观测,重构了一系列具有代表性的体元,并通过我们最近提出的更新的晶格玻尔兹曼格式进行了高通量模拟。阐明了二维纳米片的形状、尺寸、取向、固有导热系数、界面电阻、表面涂层和杂化填充对纳米片性能的影响。这项工作可以深入了解纳米片增强复合材料的有效导热性,并可能为具有目标热性能的聚合物和相变复合材料的定制设计提供重要指导。