
今日更新:Composite Structures 4 篇,Composites Part A: Applied Science and Manufacturing 1 篇,Composites Part B: Engineering 5 篇,Composites Science and Technology 1 篇
Damage-guided neural network for multi-objective optimization of 2.5D woven composites: achieving balanced on/off-axis tensile performance
Chao Zhang, Zhouyang Bian, Jiaxu Li, Yu Zhou, Qing Qin, Luofeng Huang, Tinh Quoc Bui, Chunjian Mao
doi:10.1016/j.compstruct.2026.120504
基于损伤引导神经网络的2.5维编织复合材料多目标优化:实现轴向/离轴拉伸性能平衡
Optimizing the meso-structural parameters of 2.5D woven composites using the Non-dominated Sorting Genetic Algorithm (NSGA) can effectively improve the retention rate of 45° off-axis performance relative to axial performance. NSGA generally relies on surrogate models to handle the large number of performance evaluations required during optimization. However, commonly used surrogate models such as Artificial Neural Network (ANN) face the challenge of low prediction accuracy when applied to small-sample datasets. To address this issue, a Damage-Guided Neural Network (DGNN) model inspired by Physics-Informed Neural Network (PINN) is proposed in this work. The DGNN incorporates damage images of yarns under ultimate stress states as intermediate prediction outputs, which not only enhances model interpretability but also utilizes this damage information to guide properties predictions and reduce errors. By integrating DGNN with NSGA for multi-objective optimization, the global Pareto front is obtained, from which the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is subsequently employed to identify a compromise design with superior comprehensive performance. Compared with the baseline design, the proposed approach achieves increases of 3.99% in longitudinal tensile modulus and 2.19% in strength; 11.64% in transverse tensile modulus and 14.56% in strength; and 4.77% and 5.31% in the retention rates of 45° off-axis tensile modulus and strength, respectively.
采用非支配排序遗传算法(NSGA)优化2.5D编织复合材料的细观结构参数,可有效提高45°离轴性能相对于轴向性能的保持率。NSGA通常依靠代理模型来处理优化过程中所需的大量性能评估。然而,人工神经网络(ANN)等常用的代理模型在应用于小样本数据集时面临预测精度低的挑战。为了解决这一问题,本文提出了一种受物理信息神经网络(PINN)启发的损伤引导神经网络(DGNN)模型。DGNN将纱线在极限应力状态下的损伤图像作为中间预测输出,不仅提高了模型的可解释性,而且利用这些损伤信息指导性能预测,减少了误差。通过将DGNN与NSGA相结合进行多目标优化,得到全局Pareto前沿,并在此基础上利用TOPSIS (Order Preference Technique of Similarity to Ideal Solution)方法确定综合性能优越的折衷设计。与基线设计相比,该方法的纵向拉伸模量提高了3.99%,强度提高了2.19%;横向拉伸模量为11.64%,强度为14.56%;45°离轴拉伸模量和强度保持率分别为4.77%和5.31%。
Effects of segmented circumferential reinforcements on the crashworthiness of bamboo bio-inspired composite columns: An experimental study
Yiyang Ma, Hong Xiao, Yue Ma, Tong Zhang, Yugang Duan
doi:10.1016/j.compstruct.2026.120511
分段周向增强对竹材仿生复合材料柱耐撞性影响的实验研究
Lightweight energy-absorbing structures are crucial for enhancing crashworthiness in transportation vehicles, where managing impact loads and mitigating occupant injury risk are paramount. Inspired by the fibre-reinforced composite architecture and unique segmented nodes of natural bamboo, this paper proposes a Bamboo Bio-inspired Composite Column (BBCC) fabricated from carbon fibre/epoxy composite via vacuum bag moulding. A comprehensive experimental and statistical investigation is conducted to evaluate the effects of key reinforcement parameters—internode length l, reinforcement axial length d, and ply number n—on crashworthiness performance of BBCC. Quasi-static compression tests reveal that these parameters critically control failure modes, ranging from stable progressive crushing, local buckling to interactive bilateral failure. Main-effect and ANOVA a nalyses quantify that n is the dominant factor for energy absorption capacity (specific energy absorption (SEA) and mean crushing force (MCF)) and crushing force efficiency (CFE), while d and its interaction with l govern the initial peak crushing force (IPCF). Entropy-based TOPSIS multi-objective optimisation resolves the inherent trade-off between maximising SEA and minimising IPCF, yielding the optimal design achieving an exceptional balance: a high SEA of 53.04 kJ/kg, a controlled IPCF of 28.84 kN, and an outstanding CFE of 84.4%. This study provides valuable reference for the design, an alyse, and optimisation on lightweight, high-performance energy-absorbing components.
轻型吸能结构对于提高交通运输车辆的耐撞性至关重要,因为管理冲击载荷和减轻乘员受伤风险至关重要。受纤维增强复合材料建筑和天然竹子独特的分段节点的启发,本文提出了一种由碳纤维/环氧复合材料通过真空袋成型制成的竹仿生复合材料柱(BBCC)。通过综合试验和统计研究,评价了节点间长度l、钢筋轴向长度d、层数n等关键加固参数对BBCC耐撞性能的影响。准静态压缩试验表明,这些参数对破坏模式具有重要的控制作用,从稳定的渐进破碎、局部屈曲到相互作用的双边破坏。主效应分析和方差分析表明,n是能量吸收能力(比能吸收(SEA)和平均破碎力(MCF))和破碎力效率(CFE)的主导因素,而d及其与l的相互作用决定了初始峰值破碎力(IPCF)。基于熵的TOPSIS多目标优化解决了最大化SEA和最小化IPCF之间的内在权衡,使优化设计实现了卓越的平衡:高SEA为53.04 kJ/kg,可控IPCF为28.84 kN, CFE为84.4%。本研究为轻量化、高性能吸能部件的设计、分析和优化提供了有价值的参考。
Free and forced vibration of a rotating pre-twisted multi-directional functionally graded carbon nanotube-reinforced (MDFG-CNTR) variable cross-section blade
Saifeng Zhong, Guoyong Jin, Qingtao Gong, Chen Yukun
doi:10.1016/j.compstruct.2026.120510
旋转预扭多向功能梯度碳纳米管增强(MDFG-CNTR)可变截面叶片的自由和强迫振动
Carbon nanotube-reinforced (CNTR) composites, as advanced materials with high strength and low density, exhibit significant potential for application in the lightweight design and performance optimization of rotating blades. The properties of the matrix material significantly influence the overall mechanical performance of carbon nanotube-reinforced composites. This paper assumes that the matrix material exhibits power-law gradient variations along both the spanwise and thickness directions of the blade, investigating the vibration characteristics of MDFG-CNTR variable cross-section blades. The three-dimensional geometry of pre-twisted blades with variable cross-sections is constructed through isogeometric approach (IGA), and material distributions in various blade orientations are also characterized by geometric control points and spline functions. The centrifugal force work is solved using a step-by-step centrifugal force solution method, obtaining the vibration characteristics of rotating MDFG-CNTR blades under operational conditions. Through comparisons with published literature, numerical simulations, and experimental results, the convergence and accuracy of the proposed modeling approach are verified. Based on the validated model, the coupled effects of rotational speed, geometric parameters, and material variation parameters on the vibration behavior of variable-section blades are systematically investigated, providing a theoretical foundation for the application of CNTR composites in rotating machinery blades.
碳纳米管增强(CNTR)复合材料作为一种高强低密度的先进材料,在旋转叶片轻量化设计和性能优化方面具有重要的应用潜力。基体材料的性能对碳纳米管增强复合材料的整体力学性能有显著影响。本文假设基体材料沿叶片展向和厚度方向呈幂律梯度变化,研究了MDFG-CNTR变截面叶片的振动特性。通过等几何方法(IGA)构建了变截面预扭叶片的三维几何结构,并利用几何控制点和样条函数表征了叶片各方向上的材料分布。采用分步离心力解法求解离心力功,得到MDFG-CNTR叶片在运行工况下的旋转振动特性。通过与文献、数值模拟和实验结果的比较,验证了所提建模方法的收敛性和准确性。基于验证模型,系统研究了转速、几何参数和材料变化参数对变截面叶片振动特性的耦合影响,为CNTR复合材料在旋转机械叶片中的应用提供了理论基础。
Dynamic global sensitivity an alysis for degraded hybrid 2D triaxially braided composite with aleatory and epistemic uncertainty
Dongyang Sun, Huiming Ning, Alamusi Lee, Ning Hu, Libin Zhao
doi:10.1016/j.compstruct.2026.120509
具有不确定性和认知不确定性的退化杂化二维三轴编织复合材料动态全局敏感性分析
In this study, we present a novel dynamic global sensitivity ana lysis (DGSA) framework to quantify the influence of mixed aleatory and epistemic uncertainties on the time-varying elastic properties of a hybrid 2D triaxially braided composite (2DTBC) under hygrothermal degradation. First, an a nalytical model of the hybrid 2DTBC, incorporating carbon and glass fibers in a polyether ether ketone (PEEK) matrix, is developed. To rigorously represent uncertainties, random variable and interval variable are employed to depict non-degenerate parameters (e.g., braid angle, volume fractions) and weakly degenerate parameters (e.g., carbon fiber properties), while parameters with significant degradation (e.g., matrix and glass fiber properties) are modeled as interval processes. Subsequently,DGSA indices for random variable, interval variable, and interval process are developed based on the coincidence rate of the P-box process. A DGSA methodology is then proposed, which combines the P-box process coincidence rate, Karhunen-Loève expansion and Kriging surrogate model to efficiently compute dynamic sensitivity indices. The results for a CF-GF/PEEK hybrid 2DTBC under thermal aging demonstrate that the sensitivity indices of both non-degenerate and degenerate parameters are not static but evolve over the degradation timeline. Key sensitive parameters are identified for different elastic properties of the hybrid 2DTBC. The input distribution of the random parameter significantly impacts the sensitivity indices of all uncertain parameters. The sensitivity results gradually converge with increasing sample sizes for both aleatory and epistemic uncertainties. Furthermore, it is demonstrated that the full set of uncertain parameters can be reduced to a subset of seven critical ones without significantly compromising the accuracy of uncertainty quantification.
在这项研究中,我们提出了一种新的动态全局敏感性分析(DGSA)框架,以量化混合不确定性和认知不确定性对混合二维三轴编织复合材料(2DTBC)在湿热降解下的时变弹性性能的影响。首先,建立了将碳纤维和玻璃纤维混合在聚醚醚酮(PEEK)基体中的2DTBC的分析模型。为了严格表示不确定性,采用随机变量和区间变量来描述非简并参数(如编织角、体积分数)和弱简并参数(如碳纤维性能),而具有显著退化的参数(如基体和玻璃纤维性能)则建模为区间过程。随后,基于P-box过程的符合率,建立了随机变量、区间变量和区间过程的DGSA指标。然后,提出了一种结合P-box过程符合率、karhunen - lo<e:1>展开式和Kriging代理模型的DGSA方法来高效地计算动态灵敏度指标。热老化条件下CF-GF/PEEK杂化2DTBC的实验结果表明,非简并和简并参数的敏感性指标都不是静态的,而是随降解时间的变化而变化的。确定了不同弹性性能的关键敏感参数。随机参数的输入分布对各不确定参数的灵敏度指标有显著影响。灵敏度结果随着样本量的增加而逐渐收敛。结果表明,在不确定度量化精度不显著降低的情况下,不确定参数集可以简化为7个关键参数的子集。
Development of a benchtop prepreg manufacturing platform with integrated tension control of short-travel-path carbon fiber tow
Min Soo Kim, Sang Yup Kim
doi:10.1016/j.compositesa.2026.109972
具有短行程碳纤维束张力集成控制的台式预浸料制造平台的研制
Benchtop wet filament-winding systems suffer from large tension fluctuations due to short fiber travel paths, low system inertia, and resin drag, leading to unstable tow deposition and poor reproducibility during prepreg fabrication. In this work, a benchtop wet filament-winding prepregging platform integrating a magnetic particle brake, a pneumatically loaded dancer roller, and load-cell-based proportional–integral (PI) feedback control is developed and experimentally validated to stabilize fiber tension in short-path systems. The hybrid control architecture maintains tow tension within ± 5% of the target load and effectively suppresses transient disturbances arising from bobbin-edge interactions. The influence of tension regulation on tow deposition, resin uptake, and mechanical performance is evaluated. Improved tension stability produces smoother prepreg surfaces, reduced tow waviness, and more uniform compaction, resulting in higher laminate tensile strength and reduced specimen-to-specimen variability. The findings demonstrate that stabilizing tension fluctuations, rather than increasing absolute winding load, is critical for achieving reproducible prepreg quality in compact wet-winding systems.
台式湿长丝缠绕系统由于纤维传播路径短、系统惯性低、树脂阻力大,张力波动大,导致预浸料制备过程中束沉积不稳定,重现性差。在这项工作中,开发了一种台式湿丝缠绕预浸平台,该平台集成了磁颗粒制动器,气动加载的跳舞辊和基于称重传感器的比例积分(PI)反馈控制,并通过实验验证了该平台可以稳定短路径系统中的纤维张力。混合控制体系结构将拖缆张力保持在目标载荷的±5%以内,并有效抑制由线轴边缘相互作用引起的瞬态干扰。评估了张力调节对纤维束沉积、树脂吸收率和力学性能的影响。改善的张力稳定性产生更光滑的预浸料表面,减少拖曳波纹,更均匀的压实,从而产生更高的层压拉伸强度和减少试样之间的可变性。研究结果表明,稳定张力波动,而不是增加绝对卷绕负荷,是在紧凑的湿式卷绕系统中实现可重复预浸料质量的关键。
From Charge Separation to Hole Confinement: A Strategy for Maximizing Oxidative Power in an n-n S-Scheme Using TiO2-Bi2S3 as a Model Photocatalyst
Gaoliang He, Hubdar Ali Maitlo, Ki-Hyun Kim
doi:10.1016/j.composites b.2026.113837
从电荷分离到空穴约束:利用TiO2-Bi2S3作为模型光催化剂,在n-n - s方案中最大化氧化能力的策略
A novel strategy is developed to maximize the photocatalytic oxidative power of a composite by transitioning from conventional charge-separation models to a targeted hole-confinement mechanism using an n-n TiO2/Bi2S3 S-scheme heterojunction. It is demonstrated how high-potential oxidative species are selectively sequestered through engineering of the internal electric field and interfacial band bending. It is demonstrated how high-potential oxidative species are selectively sequestered through engineering of the internal electric field and interfacial band bending. The S-scheme pathway is explicitly confirmed by advanced operando an alysis validation using in situ Kelvin probe force microscopy and irradiated X-ray photoelectron spectroscopy, revealing that high-potential holes accumulate in TiO2. Furthermore, the excited-state lifetime is shown by femtosecond transient absorption spectroscopy to nearly double for the TBS-10 heterojunction (898 ps) compared to TiO2 (449 ps). This significant extension indicates that charge carrier recombination is effectively suppressed. The optimized TBS-10 exhibits excellent photocatalytic degradation performance, achieving 100% formaldehyde removal efficiency, an apparent quantum yield of 0.077%, and a clean air delivery rate of 20.13 L min-1. The in-situ DRIFTS reveals a photocatalytic oxidation pathway proceeding through dioxymethylene and formate intermediate toward near-complete mineralization to CO2 and H2O. This work offers a mechanistically guided framework for advancing S-scheme architectures toward high-performance environmental remediation.
通过利用n-n TiO2/Bi2S3 S-scheme异质结,从传统的电荷分离模型过渡到目标空穴约束机制,开发了一种新的策略来最大化复合材料的光催化氧化能力。它证明了高电位氧化物质是如何通过工程内部电场和界面带弯曲选择性隔离的。它证明了高电位氧化物质是如何通过工程内部电场和界面带弯曲选择性隔离的。利用原位开尔文探针力显微镜和辐照x射线光电子能谱,先进的operando分析验证明确证实了s方案途径,揭示了TiO2中积累了高电位空穴。此外,飞秒瞬态吸收光谱显示,TBS-10异质结的激发态寿命(898 ps)比TiO2 (449 ps)几乎翻了一倍。这种显著的扩展表明载流子复合被有效抑制。优化后的TBS-10具有优异的光催化降解性能,甲醛去除率为100%,表观量子产率为0.077%,净空气输送率为20.13 L min-1。原位漂移揭示了一个光催化氧化途径,从二氧亚甲基和甲酸酯中间体到接近完全矿化到CO2和H2O。这项工作为推进S-scheme体系结构向高性能环境修复提供了一个机制指导框架。
Thermo-mechanical behaviors of triaxially woven fabric composites – a review
Ahmad Beng Hong Kueh
doi:10.1016/j.composite s b.2026.113852
三轴机织物复合材料的热力学行为研究进展
This paper reviews the existing research on the behavior of triaxially woven fabric composites (TWFCs) from the microscale mechanics of individual tows to the macroscale properties. Key subjects are in-plane and out-of-plane mechanical behaviors (tension, compression, shear, bending, burst, and fracture) and thermally induced deformations (expansion and out-of-plane twist). The performance of TWFC is compared with standard unidirectional and biaxially woven fabric composites, as well as thin films, providing practical property charts for material selection and structural design. It has been revealed that unique traits of TWFCs include their quasi-isotropy, tow waviness, and free-edge effects, where their influence on thermo-mechanical properties has been presented and examined. The paper then highlights the shortcomings of our knowledge of the thermal and mechanical characteristics of TWFCs. It proposes prospective studies and practical ways to drive TWFCs into adaptive, thermally stable applications, which seems to be a promising, though somewhat challenging avenue for lightweight structure design.
本文综述了三轴织物复合材料(twfc)的微观力学性能和宏观力学性能的研究进展。重点科目是面内和面外的力学行为(拉伸、压缩、剪切、弯曲、爆裂和断裂)和热诱发变形(膨胀和面外扭转)。将TWFC的性能与标准的单向、双轴编织物复合材料以及薄膜进行了比较,为材料选择和结构设计提供了实用的性能图表。揭示了twfc的独特特性,包括其准各向同性、拖波性和自由边效应,其中它们对热机械性能的影响已经被提出和研究。然后,论文强调了我们对twfc的热学和力学特性的认识的不足。它提出了前瞻性研究和实用方法,以推动twfc进入自适应,热稳定的应用,这似乎是一个有前途的,尽管有些挑战的轻量化结构设计途径。
Synergistic optimization of Z-pin architecture and curing process for composite laminates: Thermal self-regulation and interfacial bonding recovery
Shengnan Zhang, Shaoying Li, Erlei Li, Hao Wang, Yutong Liu, Yingjie Xu, Weihong Zhang
doi:10.1016/j.composites b.2026.113850
复合材料层合板z销结构与固化工艺的协同优化:热自调节与界面键合恢复
Z-pinning enhances through-thickness reinforcement of carbon fiber-reinforced polymer laminates, yet the insertion process induces mesoscale resin-rich zones whose thermo-chemo-mechanical (TCM) mismatch with the constraining pins can trigger interfacial debonding during autoclave curing. This study develops an integrated TCM finite element and statistical optimization framework to elucidate and mitigate such process-induced defects. An alytical scaling an alysis reveals a Biot-number-governed thermal self-regulation mechanism: the high through-thickness conductivity of translaminar Z-pins maintains a near-isothermal internal field, rendering the thermal gradient insensitive to both process and geometric variables. Response surface an alysis further identifies decoupled driving mechanisms—the global degree of cure is predominantly governed by the macroscopic thermal trajectory, whereas peak interfacial residual stress is controlled by the nonlinear coupling between heating rate and dwell temperature, modulated by Z-pin diameter and density. NSGA-II multi-objective optimization is subsequently employed to construct the Pareto-optimal frontier, yielding an optimized cure cycle that simultaneously enhances the degree of cure and substantially reduces the peak interfacial residual stress relative to the conventional manufacturer-recommended baseline. Microstructural examination confirms the complete recovery of interfacial bonding integrity, transitioning from visible debonding under the standard cycle to intact Z-pin/resin-rich interfaces under the optimized protocol.
z形钉接增强了碳纤维增强聚合物层压板的穿透厚度增强,但插入过程会产生中尺度富树脂区,其热化学-机械(TCM)与约束钉不匹配会在高压釜固化过程中引发界面脱粘。本研究开发了一个集成的TCM有限元和统计优化框架来阐明和减轻这种过程引起的缺陷。解析标度分析揭示了biot数控制的热自我调节机制:跨层z针的高通厚电导率保持了近等温内部场,使得热梯度对工艺和几何变量都不敏感。响应面分析进一步确定了解耦驱动机制——整体固化程度主要由宏观热轨迹控制,而峰值界面残余应力由加热速率和驻留温度之间的非线性耦合控制,并由z针直径和密度调制。随后,采用NSGA-II多目标优化构建pareto最优边界,得到一个优化的固化周期,该周期相对于传统制造商推荐的基线,在提高固化程度的同时大幅降低了峰值界面残余应力。显微结构检查证实界面结合完整性完全恢复,从标准循环下可见的脱粘过渡到优化方案下完整的Z-pin/富树脂界面。
Low-cost foam cementitious electromagnetic metamaterial with bioinspired periodic array structure
Xianyun Shi, Gan Deng, Wanxia Fang, Zhaoheng Wang, Liangjun Yin, Tingting Yang, Yi Deng, Yuanyi Yang
doi:10.1016/j.composites b.2026.113843
具有仿生周期阵列结构的低成本泡沫胶凝电磁超材料
Developing cost-effective, weather-resistant, and broadband electromagnetic (EM) wave-absorbing building materials is critical for modern infrastructure. Herein, five bioinspired foam cement-based metamaterials (FCMs) are firstly designed, mimicking diverse biological structures ranging from the chameleon skin, moth eyes, proteinaceous spherules on the leafhopper cuticle, crocodile skin, and the Apriona germari wing hairs. Numerical simulations and experimental characterizations reveal that geometric modulation crucially dictates EM absorption performance. Notably, the FCM with a periodic pyramid array architecture bioinspired by the Apriona germari wing hairs achieves superior impedance matching and robustness. It exhibits a broad effective absorption bandwidth (-10 dB) spanning 3.36-18 GHz, maintaining high efficiency across wide incident angles (0°-60°) and polarization insensitivity. By synergizing the porous cementitious substrate with macroscopic metastructures, this design maximizes multiple loss mechanisms to overcome traditional bandwidth limitations. These findings establish bio-inspired FCMs as a scalable, high-performance solution for advanced EM protection in the prospective smart buildings.
开发具有成本效益、耐候性和宽带电磁(EM)吸波性的建筑材料对现代基础设施至关重要。本文首先设计了五种仿生泡沫水泥基超材料(fcm),模拟了变色龙皮肤、飞蛾眼睛、叶蝉角质层上的蛋白质小球体、鳄鱼皮肤和德国Apriona germari翼毛等多种生物结构。数值模拟和实验表征表明,几何调制对电磁吸收性能至关重要。值得注意的是,FCM具有周期性金字塔阵列结构,生物灵感来自Apriona germari翼毛,具有优越的阻抗匹配和鲁棒性。它具有宽的有效吸收带宽(-10 dB),跨越3.36-18 GHz,在宽入射角(0°-60°)范围内保持高效率和偏振不灵敏度。通过多孔胶凝基质与宏观元结构的协同作用,该设计最大限度地利用了多种损失机制,克服了传统的带宽限制。这些发现使生物启发型fcm成为未来智能建筑中先进电磁防护的可扩展、高性能解决方案。
MXene-Based Frequency-Selective/Conductive Composite Fabric for Radar-Infrared Multispectral Stealth and Thermal Management
Heng-Yu Zhang, Hong Xiao, Mei-Wu Shi
doi:10.1016/j.composites b.2026.113838
基于mxene的雷达红外多光谱隐身和热管理的频率选择/导电复合织物
With the rapid development of modern electronic reconnaissance and countermeasure technologies, radar detection and infrared imaging have become crucial monitoring methods. To address the challenge of traditional stealth materials in achieving multi-band compatible stealth, this study utilizes the electromagnetic loss properties of MXene to fabricate MXene-based frequency-selective fabric with filtering functionality, as well as MXene-based conductive non-woven fabric. These two components are laminated to construct a composite fabric (M-FSF/MF) integrating radar absorption and infrared stealth capabilities. The M-FSF/MF exhibits excellent broadband radar-absorbing performance with a bandwidth of 6.96 GHz and a minimum RL of –31.5 dB. Meanwhile, the suppression of thermal radiation by the surface plasmon resonance effect of MXene and the regulation of air convection by the porous structure enable effective stealth in the mid-to far-infrared bands. When placed on an 80 °C hot stage, the surface temperature remains only 48 °C. In addition, the M-FSF/MF shows high light absorption, reaching a temperature of 73.4 °C under 100 mW/cm2 illumination. This study breaks through the functional limitations of single-mode stealth materials and provides a new strategy for developing lightweight, flexible, and broadband stealth materials, demonstrating significant application potential in aerospace, military equipment, and civil security fields.
随着现代电子侦察和对抗技术的迅速发展,雷达探测和红外成像已成为重要的监测手段。为了解决传统隐身材料在实现多波段兼容隐身方面面临的挑战,本研究利用MXene的电磁损耗特性,制备了具有滤波功能的MXene基频率选择织物,以及MXene基导电无纺布。这两个组件被层压形成一个综合雷达吸收和红外隐身能力的复合织物(M-FSF/MF)。M-FSF/MF具有良好的宽带雷达吸收性能,带宽为6.96 GHz,最小RL为-31.5 dB。同时,MXene表面等离子体共振效应对热辐射的抑制和多孔结构对空气对流的调节使其在中远红外波段有效隐身。当放置在80°C的热台上时,表面温度仅保持48°C。此外,M-FSF/MF具有较高的光吸收率,在100 mW/cm2的光照下温度达到73.4℃。该研究突破了单模隐身材料的功能局限,为轻量化、柔性、宽带隐身材料的发展提供了新思路,在航空航天、军事装备、民用安全等领域具有重要的应用潜力。
Insights into biochar composition and its impact on the properties of natural rubber composites
Karnda Senluayleuan, Ekwipoo Kalkornsurapranee, Kamonwan Khamphumee Aup-ngoen, Yeampon Nakaramontri, Siti Salina Sarkawi, Wisut Kaewsakul
doi:10.1016/j.compscitech.2026.111715
深入了解生物炭组成及其对天然橡胶复合材料性能的影响
Agricultural biochars offer a sustainable alternative to fossil-derived fillers in rubber composites, yet their performance depends strongly on feedstock-driven composition and structure. This study systematically examines biochars from corncob, bamboo, and tapioca incorporated into natural rubber vulcanizates, using N550 carbon black as a benchmark. Characterization revealed carbon-rich biochars retaining plant-derived hollow, multi-tubular architectures with varying mineral oxide contents. During high-shear mixing of the biochars and natural rubber, biochar particles fragmented into smaller agglomerates and aggregates comprising carbon-rich domains with surface-bound or embedded metal oxides. Filler–filler interactions prominantly occur within these agglomerates or large clusters, driven primarily by metal oxide polarity and carbon-carbon interfacial interactions, as evidenced by the Payne effect and elemental an alysis. These structures governed filler–rubber compatibility, viscoelastic response, crosslink density, and mechanical properties. Biochar-filled compounds exhibited viscosity and processability comparable to the semi-reinforcing carbon black N550 for corncob and bamboo biochars, while tapioca-derived biochar showed higher viscosity due to stronger filler-filler interactions. All three biochars improved tear resistance through crack deflection. However, reinforcement efficiency was limited by poor compatibility between polar mineral components and non-polar rubber, as well as restricted rubber penetration into hollow biochar structures. Overall, biochar microarchitecture and inorganic content critically influence composite performance. The findings highlight opportunities to engineer high-performance, sustainable biochar fillers through mineral control, surface modification, and optimized processing for next-generation rubber composites.
农业生物炭是橡胶复合材料中化石来源填料的可持续替代品,但其性能在很大程度上取决于原料驱动的成分和结构。本研究以N550炭黑为基准,系统地考察了将玉米芯、竹子和木薯淀粉掺入天然橡胶硫化胶中的生物炭。表征表明富含碳的生物炭保留了植物衍生的中空多管结构,具有不同的矿物氧化物含量。在生物炭和天然橡胶的高剪切混合过程中,生物炭颗粒破碎成更小的团块和聚集体,包括表面结合或嵌入金属氧化物的富碳域。佩恩效应和元素分析证明,填充物-填充物相互作用主要发生在这些团块或大簇中,主要由金属氧化物极性和碳-碳界面相互作用驱动。这些结构控制着填料与橡胶的相容性、粘弹性响应、交联密度和机械性能。生物炭填充化合物的粘度和加工性与半增强炭黑N550相当,用于玉米芯和竹子生物炭,而木薯淀粉衍生的生物炭由于填料与填料之间的相互作用更强而具有更高的粘度。所有三种生物炭都通过裂纹偏转提高了抗撕裂性。然而,极性矿物组分与非极性橡胶的相容性差,以及橡胶对空心生物炭结构的渗透受到限制,限制了增强效率。总的来说,生物炭的微结构和无机含量对复合材料的性能有重要影响。研究结果强调了通过矿物控制、表面改性和下一代橡胶复合材料的优化处理来设计高性能、可持续的生物炭填料的机会。