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Corrigendum to “Quantification of damage expansion influence on frequency response function of plate for structural health monitoring with integral differential” [Compos. Sci. Technol. 244 (2023) 110298] “用积分微分法对结构健康监测中损伤扩展对板频响函数影响的量化”的勘误表[汇编]。科学。科技. 244 (2023)110298]
IF 9.8 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2025-12-24 DOI: 10.1016/j.compscitech.2025.111315
Tao Wen , Fumio Narita , Hiroki Kurita , Yu Jia , Yu Shi
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引用次数: 0
Hydrothermal aging effects on mechanical degradation of short fiber reinforced polyamide composites 水热老化对短纤维增强聚酰胺复合材料力学降解的影响
IF 9.8 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2025-12-23 DOI: 10.1016/j.compscitech.2025.111496
Hong-Bo Huang , Zheng-Ming Huang , Jie Zhi , Vincent Beng Chye Tan , Yong-Ping Wan , Yan Li
Hydrothermal aging of the polymer matrix can significantly impact the long-term performance of short fiber reinforced thermoplastic composites (SFRTs), yet the extent of this influence remains unclear due to complex contributing factors. In this study, thermostatic immersion aging followed by tensile test is performed for polyamide (PA) and its composites reinforced with short carbon fiber and glass fiber, with variations in fiber content, geometric characteristics, and aging temperature. Despite differing diffusion rates and saturation levels among materials, all systems follow Fickian diffusion kinetics. To model the modulus degradation due to aging, a two-step homogenization (TSH) framework is developed by sequentially applying the Bridging Model and a hybrid method. The aged modulus is estimated by replacing the pristine matrix modulus with its moisture-degraded counterpart. However, predicting strength is more challenging due to the complex interplay between matrix plasticization and pore growth, as revealed by comparative CT imaging and tensile test results. Therefore, a Random Forest regression model is trained using 181 data points to predict the elastic modulus, tensile strength, and failure strain of SFRTs based on six input features. All predictions achieved R2 values above 0.96 on the testing dataset, confirming the adequacy of the selected input features. Regarding feature importance, SHAP analysis identifies fiber volume fraction, moisture content, and fiber-to-matrix modulus ratio as the most influential variables. The minimal effect of aging temperature further supports the TSH assumption that moisture-driven changes in the matrix govern the mechanical degradation behavior of SFRTs in this system.
聚合物基体的水热老化会显著影响短纤维增强热塑性复合材料(SFRTs)的长期性能,但由于影响因素复杂,这种影响的程度尚不清楚。本研究对短碳纤维和玻璃纤维增强聚酰胺(PA)及其复合材料在纤维含量、几何特性和老化温度的变化下进行了恒温浸渍老化和拉伸试验。尽管材料之间的扩散速率和饱和水平不同,但所有系统都遵循菲克扩散动力学。为了模拟由于老化引起的模量退化,通过依次应用桥接模型和混合方法建立了两步均匀化(TSH)框架。老化模量是通过将原始矩阵模量替换为其湿退化对应物来估计的。然而,正如对比CT成像和拉伸测试结果所显示的那样,由于基质塑化和孔隙生长之间复杂的相互作用,预测强度更具挑战性。因此,使用181个数据点训练随机森林回归模型,基于6个输入特征预测sfrt的弹性模量、抗拉强度和破坏应变。在测试数据集上,所有预测的R2值都达到了0.96以上,证实了所选输入特征的充分性。在特征重要性方面,SHAP分析确定纤维体积分数、含水率和纤维-基质模量比是影响最大的变量。老化温度的最小影响进一步支持了TSH的假设,即基质中水分驱动的变化控制了该体系中sfrt的机械降解行为。
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引用次数: 0
Machine learning–statistical inference of prepreg conditioning history from surface morphology 机器学习-从表面形貌统计预浸料调理历史的推断
IF 9.8 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2025-12-22 DOI: 10.1016/j.compscitech.2025.111494
Aric Morton, Navid Zobeiry
Storage conditions, out-time, and environmental exposure of uncured prepreg affect material properties such as tack and viscosity, promoting process-induced defects such as porosity or tow puckering during automated fiber placement (AFP). However, quantifying these changes in production is difficult, given that current in-situ methods, especially at the microscale, are slow and noisy. Consequently, no fast, in-process method exists to determine a material's conditioning history before lay-up. In this study, we introduce a machine learning–statistical inference framework that differentiates prepreg out-time and environmental exposure from surface morphology scans obtained by confocal laser scanning microscopy (CLSM) and readily compatible with high-speed laser profilometry. Robust Principal Component Analysis (RPCA) is used to remove measurement noise and enable the identification of morphological fingerprints from surface height data using a normalized smoothness metric. The method was successfully demonstrated on a unidirectional (UD) carbon fiber epoxy-based prepreg under five conditioning scenarios. Fingerprint distributions were used to infer the complex interaction between capillary flow, surface tension, and viscosity in driving changes to surface morphology under elevated humidity and temperature.
未固化预浸料的储存条件、停机时间和环境暴露会影响材料的粘性和粘度等特性,从而在自动纤维放置(AFP)过程中导致气孔或起皱等工艺缺陷。然而,量化这些产量变化是困难的,因为目前的原位方法,特别是在微观尺度上,是缓慢和嘈杂的。因此,不存在快速的过程中方法来确定材料在铺前的调理历史。在本研究中,我们引入了一个机器学习-统计推断框架,该框架将预浸料的取出时间和环境暴露与共聚焦激光扫描显微镜(CLSM)获得的表面形貌扫描区分开来,并与高速激光轮廓术相兼容。鲁棒主成分分析(RPCA)用于去除测量噪声,并使用归一化平滑度量从表面高度数据中识别形态指纹。该方法在五种条件下成功地在单向(UD)碳纤维环氧基预浸料上进行了验证。利用指纹图谱分析了在高湿度和高温度条件下,毛细管流动、表面张力和粘度之间的复杂相互作用对表面形貌变化的驱动作用。
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引用次数: 0
Boosting high-temperature capacitive energy storage in PEI-based composite dielectric using dual-functional fluorinated graphene 利用双功能氟化石墨烯增强pei基复合电介质的高温电容储能
IF 9.8 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2025-12-22 DOI: 10.1016/j.compscitech.2025.111495
Rui Yang , Zhongyao Chai , Yi Ru , Wenqi Zhang , Sidi Fan , Yaping Cui , Fangcheng Lv , Xiang Yu
Polymer-based thin-film capacitors have emerged as essential components in advanced energy generation and storage systems. For high-temperature applications, conventional polymers, such as polyetherimide (PEI), still face a critical challenge: a surge in leakage current at high temperatures, which degrades both discharge efficiency (η) and discharge energy density (Ud). Here, we report on the development of PEI-based composite dielectrics reinforced with fluorinated graphene (F-gr), exhibiting remarkable high-temperature energy storage performance. F-gr plays a dual-functional role: acting as a “chain binder” to form an electrostatic cross-linking network with the PEI chains, thereby restricting thermally activated segment motion and reducing leakage current; serving as an interfacial trapping center that further minimizes leakage current to levels one order of magnitude lower than that of the PEI film. At an optimized doping ratio of 0.3 wt%, the composite film achieves a maximum Ud of 6.31 J cm−3 at 150 °C and 4.43 J cm−3 at 200 °C. At an efficiency above 90 %, the 0.3 wt% film retains a Ud of 5.32 J cm−3 at 150 °C and 3.18 J cm−3 at 200 °C, representing 127.35 % and 825.29 % enhancements, respectively, compared to the PEI film. Furthermore, its excellent long-term operational stability and scalability potential highlight its feasibility for practical applications.
聚合物薄膜电容器已成为先进能源生产和存储系统的重要组成部分。对于高温应用,传统聚合物,如聚醚酰亚胺(PEI),仍然面临着一个严峻的挑战:高温下泄漏电流激增,这会降低放电效率(η)和放电能量密度(Ud)。在这里,我们报告了氟化石墨烯(F-gr)增强pei基复合电介质的发展,具有显着的高温储能性能。F-gr具有双重功能:作为“链粘合剂”,与PEI链形成静电交联网络,从而限制热激活节段运动,减少漏电流;作为一个界面捕获中心,进一步将泄漏电流降至比PEI薄膜低一个数量级的水平。当掺杂比为0.3 wt%时,复合膜在150°C和200°C时的最大Ud分别为6.31 J cm−3和4.43 J cm−3。在效率高于90%的情况下,0.3 wt%的膜在150°C和200°C下的Ud分别为5.32 J cm−3和3.18 J cm−3,与PEI膜相比,分别提高了127.35%和825.29%。此外,其良好的长期运行稳定性和可扩展性也突出了其实际应用的可行性。
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引用次数: 0
Novel thermo-viscoplastic characterization method for glass fiber-reinforced thermoplastics 玻璃纤维增强热塑性塑料热粘塑性表征新方法
IF 9.8 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2025-12-19 DOI: 10.1016/j.compscitech.2025.111492
Josephine Faddoul , Pierre Rahme , Dominique Guines , Lionel Leotoing
This work develops a thermo-viscoplastic characterization framework for a glass-fiber-reinforced polypropylene (GFPP) composite for forming applications. Uniaxial tensile tests were conducted at three temperatures (20, 70, and 120 °C) and three strain rates to evaluate anisotropic and temperature-dependent behavior. In-plane biaxial tests on cruciform specimens were then performed to reach higher equivalent strains and reproduce multiaxial deformation paths. An elasto-viscoplastic constitutive model based on the modified G'Sell–Jonas formulation was calibrated through inverse finite-element identification using experimental forces and DIC strain fields. The model reproduced the deformation response with identification errors of 2.5–7.6 % across the temperature range. Temperature-dependent parameters exhibited an approximately linear reduction of 60–80 % with increasing temperature. The resulting model provides a consistent input for thermoforming simulations of GFPP components.
本研究开发了一种用于成型应用的玻璃纤维增强聚丙烯(ggfpp)复合材料的热粘塑性表征框架。在三种温度(20、70和120°C)和三种应变速率下进行单轴拉伸试验,以评估各向异性和温度依赖行为。然后对十字形试件进行平面内双轴试验,以获得更高的等效应变并再现多轴变形路径。基于修正G 'Sell-Jonas公式的弹粘塑性本构模型,通过实验力和DIC应变场的反有限元识别进行了标定。该模型在整个温度范围内再现了变形响应,识别误差为2.5% ~ 7.6%。随着温度的升高,温度相关参数呈现出60 - 80%的近似线性降低。所得模型为GFPP部件的热成型模拟提供了一致的输入。
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引用次数: 0
Binderless hierarchical natural fibre composites with localised cellulose nanocrystals and tailored wet processing for improved mechanical and thermal properties 无粘结剂分层天然纤维复合材料与局部纤维素纳米晶体和定制的湿处理,以改善机械和热性能
IF 9.8 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2025-12-19 DOI: 10.1016/j.compscitech.2025.111493
Shahed Ekbatani , Yushen Wang , Dimitrios G. Papageorgiou , Han Zhang
Binderless natural fibre composites are attractive for circular manufacturing since the removal of a synthetic matrix improves recyclability and end-of-life processing. However, their applications are often constrained by weak interfacial bonding and limited mechanical performance. This study presents a scalable approach to strengthen binderless luffa fibre composites by combining localised surface reinforcement with cellulose nanocrystals (CNCs) and tailored wet processing conditions. CNCs were introduced by immersing luffa layers in a CNC suspension, enabling diffusion into the porous network and subsequent accumulation at fibre-fibre contact regions during hot pressing, resulting in localised interfacial reinforcement. The process exploits the self-bonding of lignocellulosic fibres under controlled moisture and elevated temperature to mobilise lignin and promote hydrogen bonding. Compared to neat luffa panels, a 280 % increase in peel strength and a 49 % improvement in interlaminar shear strength (from 2.47 to 3.68 MPa) were obtained, alongside substantial improvements in flexural strength and modulus. CNCs further improved interfacial interactions, with FTIR evidences reconfiguration of O–H hydrogen bonding interactions under wet CNC processing, while DSC and TGA confirm reduced chain mobility (higher Tg) and delayed thermal decomposition. The synergistic effects of CNC integration and optimised processing parameters provide a scalable route to high-performance environmentally friendly natural fibre composites without synthetic binders.
无粘结天然纤维复合材料对循环制造很有吸引力,因为去除合成基质提高了可回收性和报废处理。然而,它们的应用往往受到弱界面结合和有限的力学性能的限制。本研究提出了一种可扩展的方法,通过将纤维素纳米晶体(cnc)和定制的湿加工条件结合局部表面增强来增强无粘结丝瓜纤维复合材料。CNC是通过将丝瓜层浸泡在CNC悬浮液中引入的,使其能够扩散到多孔网络中,并随后在热压过程中在纤维纤维接触区域积累,从而导致局部界面增强。该工艺利用木质纤维素纤维在控制湿度和升高温度下的自结合来调动木质素和促进氢键。与纯丝瓜板相比,剥离强度提高了280%,层间剪切强度提高了49%(从2.47兆帕提高到3.68兆帕),同时弯曲强度和模量也有了实质性的提高。CNC进一步改善了界面相互作用,FTIR证明了湿式CNC加工下O-H氢键相互作用的重构,而DSC和TGA证实了链迁移率降低(Tg更高)和热分解延迟。CNC集成和优化加工参数的协同效应为无合成粘合剂的高性能环保天然纤维复合材料提供了可扩展的途径。
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引用次数: 0
LayupFormer: A deep generative model for composite laminate layup design LayupFormer:复合层压板层叠设计的深度生成模型
IF 9.8 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2025-12-18 DOI: 10.1016/j.compscitech.2025.111490
Wenjie Xie, Hasan Caglar, Kailun Deng, David Ayre, Yifan Zhao
Conventional laminate layup design relies on search-and-evaluate strategies that become intractable as ply counts grow, offering limited guarantees of feasibility, interpretability, and efficiency. While surrogate modelling and optimisation using artificial intelligence have accelerated composite design, most approaches still explore the design space via a search-centric manner. Generative methods offer an alternative by incorporating performance criteria, but often operate with restricted orientation sets, lack interpretability, or require auxiliary tools to ensure feasibility. This article introduces LayupFormer, a physics-informed Transformer framework that reformulates laminate layup design as an inverse sequence generation problem. The solution embeds mechanics through laminate parameters derived from Tsai's invariants and constrains designs with a domain-specific grammar over ply orientations. The framework couples a high-fidelity predictor, which regresses load and stiffness, with a generator that directly produces requirement-compliant layups efficiently across data scales. Attention analyses reveal that LayupFormer captures long-range through-thickness interactions and internalises laminate principle, providing interpretable insights into the generation process. Experimental validation confirms that LayupFormer-designed layups achieve superior bearing performance and reduced variability compared with empirical baselines. LayupFormer establishes a unified physics-informed generative framework that transforms laminate design from search-based optimisation into an interpretable and data-efficient inverse-design process, paving the way for scalable and automated composite design.
传统的层压板分层设计依赖于搜索和评估策略,随着层数的增加,这种策略变得难以处理,只能提供有限的可行性、可解释性和效率保证。虽然使用人工智能的替代建模和优化加速了复合设计,但大多数方法仍然通过以搜索为中心的方式探索设计空间。生成方法通过合并性能标准提供了另一种选择,但通常在受限的方向集上操作,缺乏可解释性,或者需要辅助工具来确保可行性。本文介绍了LayupFormer,这是一个物理知情的Transformer框架,它将层压板分层设计重新定义为逆序列生成问题。该解决方案通过从Tsai的不变量中导出的层叠参数嵌入力学,并使用特定于领域的语法在层向上约束设计。该框架将一个高保真预测器与一个生成器结合在一起,该预测器可以回归负载和刚度,并直接在数据尺度上有效地生成符合需求的分层。注意力分析表明,LayupFormer捕获了远距离的贯穿厚度的相互作用,并内化了层叠原理,为生成过程提供了可解释的见解。实验验证证实,与经验基线相比,layupformer设计的铺装具有优越的承载性能和降低的可变性。LayupFormer建立了一个统一的物理信息生成框架,将层压板设计从基于搜索的优化转变为可解释的、数据高效的反设计过程,为可扩展的自动化复合材料设计铺平了道路。
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引用次数: 0
In-situ interfacial engineering towards highly fatigue resistant rubber composites enabled by aniline-functionalized oligomers 苯胺功能化低聚物实现高抗疲劳橡胶复合材料的原位界面工程
IF 9.8 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2025-12-18 DOI: 10.1016/j.compscitech.2025.111491
Xinglong An , Siwu Wu , Zhaohui Wu , Shuangjian Yu , Baochun Guo , Liqun Zhang , Chengqian Mu , Fei Niu
Engineering aniline handles into rubber skeleton constitutes as the most straightforward, yet unexplored pathway for preparing aniline-functionalized interfacial regulators towards rubber/CB composites. Herein, we propose a facile pyrolysis strategy to prepare aniline-functionalized elastomeric oligomers, which leverages the dynamic covalent polymerization between the abundant reactive di/polysulfide segments of vulcanizates and m-phenylenediamine (MPD). Upon regulating MPD dosage, MPD moieties are rationally inserted into the di/polysulfide segments and synchronously disintegrate the sulfur-based network architecture, thereby achieving MPD-functionalized oligomers (MFO) with adjustable MPD content. The obtained oligomers feature with multiple aniline handles and rubber-based segments, which can enable strong interfacial linkages between CB and rubber matrix in the composites. Even incorporating a small amount of the obtained oligomers (i.e. 0.21 wt% of MPD moieties), the thickness of the interfacial region and the CB dispersion can be considerably enhanced, leading to reductions of ∼21.3 % and ∼22.5 % in temperature rise and rolling resistance of the composites, respectively. Moreover, this also synergistically promotes tip deflection/branching and energy dissipation during crack propagation. Meanwhile, the reduction in temperature rise of composites further maintains the network robustness under cyclic loading. Therefore, the crack growth rate of the composites shows a remarkable decrease (∼64 %) at high tear energy, along with a substantial increase of ∼75 % in ultimate fatigue life. We envision the present methodology, which adopts functionalized oligomers as novel interfacial regulators for rubber composites, has great potential in exploiting high-performance engineering rubbers in terms of energy conservation and superior fatigue resistance.
在橡胶骨架中加入苯胺手柄是制备苯胺功能化橡胶/CB复合材料界面调节剂的最直接、但尚未探索的途径。在此,我们提出了一种简单的热解策略来制备苯胺功能化弹性体低聚物,该策略利用了硫化物中丰富的活性双/多硫段与间苯二胺(MPD)之间的动态共价聚合。调节MPD用量后,MPD片段被合理插入到二硫/多硫链段中,并同步分解硫基网络结构,从而获得MPD含量可调节的MPD功能化低聚物(MFO)。得到的低聚物具有多个苯胺柄和橡胶基段的特征,可以使CB与复合材料中的橡胶基体之间具有很强的界面连接。即使加入少量获得的低聚物(即0.21 wt%的MPD部分),界面区域的厚度和炭黑色散也可以显著增强,导致复合材料的温升和轧制阻力分别降低~ 21.3%和~ 22.5%。此外,这还协同促进了裂纹扩展过程中的尖端挠曲/分支和能量耗散。同时,复合材料温升的降低进一步保持了循环载荷下网络的鲁棒性。因此,在高撕裂能下,复合材料的裂纹扩展速率显著降低(~ 64%),同时极限疲劳寿命大幅提高~ 75%。我们认为,采用功能化低聚物作为新型橡胶复合材料界面调节剂的方法在开发高性能工程橡胶方面具有巨大的潜力,具有节能和优异的抗疲劳性能。
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引用次数: 0
α-Keratin dehydration-analogous nanofiber aggregation engineering of aramid aerogels for integrated mechanical and thermal protection 集机械热防护于一体的芳纶气凝胶α-角蛋白脱水-类似纳米纤维聚集工程
IF 9.8 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2025-12-13 DOI: 10.1016/j.compscitech.2025.111489
Jianpeng Wu , Kexu Zhan , Junshuo Zhang , Yu Wang , Shuaishuai Sun , Shouhu Xuan , Shiyu Lin , Zimu Li , Ziyang Fan , Shuai Liu , Zhihao Hu , Xinyi Wang , Xinglong Gong
Lightweight materials with outstanding mechanical durability and heat attenuation play an indispensable role in personnel safeguard. Aerogels are excellent insulation materials while presenting low strength, posing a challenge to integrated protection. Herein, a dehydration-induced aggregation strategy is proposed to reinforce lamellar aramid nanofiber aerogels through impregnation in polyvinyl alcohol (PVA) solution followed by hot-pressing. PVA shrinkage facilitates synergistic fiber crosslinking and sheet densification in the resulting AFPA aerogels, achieving extraordinary specific tensile modulus (1143.2 MPa cm3 g−1) and toughness (2557 kJ m−3). Both experiments and simulations demonstrate that the aggregated fibrous network extends fracture period by re-orientation and crack deflection, which enables AFPAs 220 % and 162 % greater specific puncture energy than woods and leathers. Benefiting from the lamellar porous skeleton with low PVA content, AFPAs not only prevent the invasion of heat and fire, but maintain 95 % of initial strength and robust impact dissipation after heat treatment at 300 °C. With a low thermal conductivity of 31 mW m−1 K−1, AFPAs provide better thermal comfort from −106 to 150 °C than duck down with only 31 % of its thickness. This integrated protection system can be re-established by a solvent-mediated recycling approach, promoting their sustainable applications across fire-fighting, anti-seismic building, and aircrafts.
轻质材料具有优异的机械耐久性和热衰减性,在人员安全保障中起着不可或缺的作用。气凝胶是一种优良的绝缘材料,但强度较低,对综合防护提出了挑战。本文提出了一种脱水诱导聚集策略,通过在聚乙烯醇(PVA)溶液中浸渍,然后热压来增强层状芳纶纳米纤维气凝胶。PVA的收缩促进了AFPA气凝胶中的协同纤维交联和薄片致密化,实现了非凡的比拉伸模量(1143.2 MPa cm3 g - 1)和韧性(2557 kJ m - 3)。实验和模拟结果均表明,聚类纤维网络通过重新定向和裂纹偏转延长断裂时间,使afpa的比穿刺能量比木材和皮革分别高出220%和162%。得益于低PVA含量的层状多孔骨架,afpa在300℃热处理后,不仅可以防止热和火的侵入,还可以保持95%的初始强度和强大的冲击耗散。afpa的导热系数为31 mW m−1 K−1,在- 106至150°C范围内的热舒适性优于厚度仅为其31%的鸭绒。这种综合保护系统可以通过溶剂介导的回收方法重新建立,促进其在消防、抗震建筑和飞机上的可持续应用。
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引用次数: 0
Multiscale-engineered CNTs/cellulose@TPU aerogel with extended matching thickness for adaptive broadband microwave absorption 具有扩展匹配厚度的自适应宽带微波吸收的多尺度工程CNTs/cellulose@TPU气凝胶
IF 9.8 1区 材料科学 Q1 MATERIALS SCIENCE, COMPOSITES Pub Date : 2025-12-12 DOI: 10.1016/j.compscitech.2025.111488
Qian Zhou , Lifei Du , Wenyan Duan , Junwei Chen , Yuqin Yang , Chang Shu , Fang Ye , Xiaomeng Fan
The development of microwave absorbers with superior conformability and dimensional adaptability represents a critical advancement for practical stealth applications. This study addresses this challenge through the innovative multi-scale design of a CNTs/cellulose@TPU aerogel, which exhibits both tunable dielectric properties and exceptional broadband absorption across substantially expanded thickness ranges. Precisely engineered via conformal TPU coating on a CNTs/cellulose skeleton with controlled CNTs content (4–12 wt%), the aerogel achieves optimized electromagnetic characteristics through its hierarchical porous architecture, enabling a synergy between the coordination of impedance matching and electromagnetic dissipation. The material demonstrates remarkable performance flexibility: by tuning the CNTs content from 4 to 12 wt%, the effective absorption bandwidth (RL < −10 dB) can be maintained across the entire X-band (8.2–12.4 GHz) over an extended thickness range of 4.34–7.66 mm. This unique thickness adaptability, coupled with polymorphic dissipation mechanisms including conductive network resonance, interfacial polarization, and multi-scale scattering, enables seamless integration with honeycomb absorbing structures of varying dimensions. When embedded within aramid honeycomb templates, the aerogel not only preserves its exceptional absorption capabilities but further extends its effective matching thickness range through synergistic structural interactions. The resulting hybrid metamaterial achieves efficient radar wave attenuation while offering unprecedented design flexibility for conformal applications, establishing a new paradigm for bridging the gap between performance optimization and structural integration in electromagnetic protection.
研制出具有良好一致性和尺寸适应性的微波吸收器是实现隐身应用的关键技术。本研究通过创新的多尺度设计CNTs/cellulose@TPU气凝胶解决了这一挑战,该气凝胶在大幅扩大的厚度范围内具有可调谐的介电特性和卓越的宽带吸收。该气凝胶通过控制碳纳米管含量(4-12 wt%)的碳纳米管/纤维素骨架上的保形TPU涂层进行精确设计,通过其分层多孔结构实现了优化的电磁特性,从而实现了阻抗匹配协调和电磁耗散之间的协同作用。该材料表现出卓越的性能灵活性:通过将CNTs含量从4 wt%调整到12 wt%,可以在4.34-7.66 mm的扩展厚度范围内保持整个x波段(8.2-12.4 GHz)的有效吸收带宽(RL <−10 dB)。这种独特的厚度适应性,加上导电网络共振、界面极化和多尺度散射等多晶耗散机制,使其能够与不同尺寸的蜂窝吸收结构无缝集成。当嵌入芳纶蜂窝模板中时,气凝胶不仅保留了其卓越的吸收能力,而且通过协同结构相互作用进一步扩展了其有效匹配厚度范围。由此产生的混合超材料实现了高效的雷达波衰减,同时为保形应用提供了前所未有的设计灵活性,为弥合电磁保护中性能优化和结构集成之间的差距建立了新的范例。
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Composites Science and Technology
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