Composites Science and Technology最新文献_第10页

Electric insulation, high thermal conductivity, and ultra-high EMI shielding composite films with a Janus structure 具有Janus结构的电绝缘、高导热、超高电磁干扰屏蔽复合薄膜

IF 9.8 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-10-27 DOI: 10.1016/j.compscitech.2025.111423

Xin Chen , Yabin Guo , Yuting Zhang, Yuqi Wang, Meng Hou, Jianwen Chen, Yongjin Li, Yutian Zhu

With the advancement of electronic devices towards greater intelligence, portability, and flexibility, it brings some self-contradictory performance requirements for electromagnetic shielding materials, which need to combine high electromagnetic interference shielding efficiency (EMI SE), high thermal conductivity, and electric insulation within all-in-one material. To address this critical challenge, herein we designed a Janus composite film featuring a dual-layer architecture: one side consists of a fused silver nanowire (AgNW) layer, while the other comprises a thermoplastic polyurethane (TPU)-hexagonal boron nitride (hBN) layer. The as-prepared Janus TPU-hBN/AgNWs (hBN content: 80 wt% for TPU-hBN layer; AgNWs areal density of AgNWs layer: 2.6 mg/cm²) composite film (∼84.6 μm) exhibits exceptional multifunctional properties, including an impressive EMI SE of 93.37 dB at 10 GHz, an in-plane thermal conductivity of 27.23 W m⁻¹K⁻¹ and single-sided electrical insulation. Notably, these properties remain stable even under harsh conditions such as prolonged exposure to acidic/alkaline environments, extreme temperatures, and repeated bending-releasing cycles, underscoring the film's remarkable durability and reliability. Additionally, the composite film demonstrates outstanding Joule heating performance, reaching approximately 88 °C within just 5 s at an input voltage of 0.9 V. These results highlight the Janus TPU-hBN/AgNWs composite film as a promising candidate for next-generation electromagnetic shielding materials, offering a unique combination of high shielding efficiency, thermal management capabilities, and electrical insulation in a robust and adaptable design.

随着电子器件向更智能、便携、灵活的方向发展，对电磁屏蔽材料提出了一些自相矛盾的性能要求，需要将高电磁干扰屏蔽效率（EMI SE）、高导热性、电绝缘性三者结合在一体的材料中。为了解决这一关键挑战，我们设计了一种双面结构的Janus复合膜：一面由熔融银纳米线（AgNW）层组成，另一面由热塑性聚氨酯(TPU)-六方氮化硼（hBN）层组成。制备的Janus TPU-hBN/AgNWs （TPU-hBN层的hBN含量为80 wt%； AgNWs层的AgNWs面密度为2.6 mg/cm2）复合膜（~ 84.6 μm）具有优异的多功能性能，包括在10 GHz时令人惊讶的93.37 dB EMI SE， 27.23 W m−1K−1的面内导热系数和单面电绝缘。值得注意的是，即使在恶劣的条件下，如长时间暴露在酸性/碱性环境、极端温度和反复的弯曲释放循环中，这些性能也保持稳定，强调了该薄膜卓越的耐用性和可靠性。此外，复合薄膜具有出色的焦耳加热性能，在0.9 V的输入电压下，仅需5秒即可达到约88°C。这些结果突出了Janus TPU-hBN/AgNWs复合薄膜作为下一代电磁屏蔽材料的有前途的候选者，在稳健和适应性强的设计中提供了高屏蔽效率，热管理能力和电绝缘的独特组合。

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引用次数: 0

Electrical insulation EMI shielding epoxy-based composites with low thermal expansion for advanced electronic packaging 先进电子封装用低热膨胀环氧基电绝缘电磁干扰屏蔽复合材料

IF 9.8 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-10-23 DOI: 10.1016/j.compscitech.2025.111420

Zeyu Zheng , Kuan Deng , Yang Liu , Hebin Zhang , Weijing Wu , Yan-Jun Wan , Rong Sun , Pengli Zhu

As electronic packaging enters a new era of high density and high frequency, conventional electromagnetic interference shielding (EMI) approaches based predominantly on high electrical conductivity are encountering critical risks of electrical reliability failure. To meet the innovative demands of advanced packaging applications, this work developed an FeNi@SiO₂/EP epoxy-based composite that integrated “electrical insulation, EMI shielding, and low thermal expansion”. SiO₂-decorated FeNi spheres particles with the Invar effect were prepared, with coating layer tuned via precursor concentration in a liquid-phase reaction. Effective control of the SiO₂ layer blocks electron transport in the composites while preserving the magnetic network and phonon transmission. The FeNi@SiO₂/EP composites successfully exhibited high electrical insulation (exceed 10¹² Ω cm), excellent EMI shielding efficiency (about 30 dB), and thermal conductivity. EMI shielding of the composites can be attributed to local eddy current losses in FeNi particles, magnetic losses induced by the continuous magnetic network, and interfacial dielectric losses at multiphase boundaries. Interestingly, the near-zero thermal expansion of FeNi particles imparts composites with a low coefficient of thermal expansion (7–8 ppm/°C). These innovations are expected to significantly promote the development of electronic devices toward higher integration and miniaturization, particularly in the field of electrical insulation EMI shielding materials.

随着电子封装进入高密度、高频的新时代，传统的基于高导电性的电磁干扰屏蔽（EMI）方法面临着电气可靠性失效的严重风险。为了满足先进封装应用的创新需求，这项工作开发了一种FeNi@SiO2/EP环氧基复合材料，该复合材料集成了“电绝缘、EMI屏蔽和低热膨胀”。制备了具有因瓦尔效应的二氧化硅修饰FeNi球，并通过液相反应中前驱体浓度来调整涂层层数。有效控制SiO2层阻断了复合材料中的电子传递，同时保持了磁网络和声子传输。FeNi@SiO2/EP复合材料成功地表现出高电绝缘性（超过1012 Ω cm），优异的EMI屏蔽效率（约30 dB）和导热性。复合材料的电磁干扰屏蔽可归因于FeNi颗粒中的局部涡流损耗、连续磁网络引起的磁损耗以及多相边界处的界面介电损耗。有趣的是，FeNi颗粒的近零热膨胀使复合材料具有较低的热膨胀系数（7-8 ppm/°C）。这些创新有望显著促进电子设备向更高集成化和小型化的方向发展，特别是在电绝缘EMI屏蔽材料领域。

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引用次数: 0

A virtual fiber unit cell model for efficient simulation of dry fabric picture frame shear behavior 一种能有效模拟干织物画框剪切行为的虚拟纤维单元胞模型

IF 9.8 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-10-22 DOI: 10.1016/j.compscitech.2025.111425

Yiding Li, Weijie Zhang, Zihan Lin, Rui Bao, Ying Yan, Shibo Yan

This study proposes an efficient multiscale virtual fiber unit cell model for predicting the kinematic and mechanical responses of dry fabrics under picture frame shear. A customized beam element with tailored properties is developed to represent virtual fibers, integrally capturing the equivalent axial, bending, and contact behaviors of real yarns whilst reducing modeling complexity found in existing approaches. The multiscale computational homogenization method originally established for continuous composite materials is reformulated for fabrics composed of discrete virtual fibers under finite deformation, enabling the use of a fabric unit cell model in picture frame shear simulations. Furthermore, a penalized implementation of periodic boundary conditions (PBCs) using spring elements is established to overcome the severe efficiency degradation of conventional implementations in commercial explicit FE solvers as model size increases. Validation against experimental data from Twintex plain woven fabrics demonstrates that the virtual fiber unit cell accurately predicts the kinematic and mechanical responses during picture frame shear tests with dramatically reduced model size. Additionally, the effect of clamping pretension on the variation of picture frame shear test results is accounted for and analyzed through the proposed unit cell model. The developed framework provides a computational alternative to physical testing, enabling efficient numerical characterization of fabric shear behavior.

本文提出了一种有效的多尺度虚拟纤维单元胞模型，用于预测干织物在画框剪切作用下的运动和力学响应。开发了具有定制属性的定制梁单元来表示虚拟纤维，完整地捕获真实纱线的等效轴向，弯曲和接触行为，同时降低了现有方法中的建模复杂性。最初建立的用于连续复合材料的多尺度计算均匀化方法被重新制定，用于有限变形下由离散虚拟纤维组成的织物，使织物单位细胞模型能够在像框剪切模拟中使用。此外，建立了使用弹簧元件的周期性边界条件（pbc）的惩罚实现，以克服商业显式有限元求解器中传统实现随着模型尺寸的增加而出现的严重效率下降。对Twintex平纹机织物的实验数据验证表明，虚拟纤维单元格能准确地预测图像框剪切试验中模型尺寸显著减小的运动和力学响应。此外，通过所提出的单元胞模型，分析了夹紧预紧力对画框剪切试验结果变化的影响。开发的框架提供了物理测试的计算替代方案，使织物剪切行为的有效数值表征成为可能。

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引用次数: 0

Insulating MgO interlayer induces diverse polarization mechanisms in ferroelectric CCTO/PVDF composites for ameliorative dielectric properties 绝缘MgO中间层在铁电CCTO/PVDF复合材料中诱导了多种极化机制以改善介电性能

IF 9.8 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-10-22 DOI: 10.1016/j.compscitech.2025.111424

Xingxing Meng , Yuhua Shi , Yuhao Lu , Jiahuan Zhao , Dengfeng Liu , Jing Zuo , Zhi Fang , Wenying Zhou

Polymer composites with an insulating shell encapsulated ferroelectric particles exhibit restrained dielectric loss along with suppressed permittivity (ε′). Designing the insulating shell which induces multiple polarizations can concurrently boost the ε′ and breakdown strength (E_b) while minimizing the loss and leakage current. Herein, the crystal insulating magnesium oxide (MgO) coated calcium copper titanate (CCTO) particles are fabricated and composited with poly(vinylidene fluoride) (PVDF). The findings demonstrate that the MgO interlayer modulates both intra-particle and inter-particle polarizations, elevating the ε′. Moreover, the insulating interlayer impedes long-range electron migration, suppressing the dielectric loss and conductivity of the composite. It also increases electrical resistivity and traps free charge carriers, enhancing E_b. Further, the well-designed insulating gradient layer simultaneously induces multiple polarizations and relieves the local electric field distortion and concentration, achieving concurrently elevated ε′ and E_b but low loss in the CCTO@MgO/PVDF compared with unmodified composites. The theoretical fitting and simulation further reveal the underlying multiple polarization mechanisms and the MgO interlayer's impact on charge migration. The prepared CCTO@MgO/PVDF composite achieves a high ε′ of 38, a low loss of 0.032, and a large E_b of 16.7 kV/mm simultaneously. This investigation offers an insightful view on designing special ε′ gradient interlayer with multiple polarizations for simultaneously high ε′ and E_b but low loss polymeric composite dielectrics, demonstrating potential applications in power electronics.

包覆铁电粒子的绝缘壳聚合物复合材料的介电损耗受到抑制，介电常数（ε′）也受到抑制。设计诱导多极化的绝缘外壳，可以同时提高ε′和击穿强度（Eb），同时减小损耗和漏电流。本文制备了晶体绝缘氧化镁（MgO）包覆钛酸钙铜（CCTO）颗粒，并与聚偏氟乙烯（PVDF）复合。结果表明，MgO中间层调节了粒子内和粒子间的极化，提高了ε′。此外，绝缘中间层阻碍了远距离电子迁移，抑制了复合材料的介电损耗和电导率。它还增加电阻率和捕获自由电荷载流子，提高Eb。此外，设计良好的绝缘梯度层同时诱导多极化，减轻了局部电场畸变和集中，与未改性的复合材料相比，CCTO@MgO/PVDF的ε′和Eb同时升高，但损耗较低。理论拟合和模拟进一步揭示了MgO中间层的多极化机制和对电荷迁移的影响。制备的CCTO@MgO/PVDF复合材料的ε′值高达38，损耗仅为0.032，Eb值高达16.7 kV/mm。该研究为同时具有高ε′和Eb但低损耗的聚合物复合电介质设计特殊的多极化ε′梯度中间层提供了深刻的见解，展示了在电力电子领域的潜在应用前景。

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引用次数: 0

Rigid and lightweight CoFe2O4/carbon nanofibers/polyimide composite aerogel with anisotropic structure for efficient microwave absorption and thermal insulation 具有各向异性结构的轻质CoFe2O4/碳纳米纤维/聚酰亚胺复合气凝胶，具有高效的微波吸收和保温性能

IF 9.8 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-10-21 DOI: 10.1016/j.compscitech.2025.111422

Ru Wang, Huanyu Xu, Guiyu Chu, Zhuguang Nie, Yanmeng Peng, Zhiyue Zhao, Fengjiao Jiang, Mingyu Jiang, Shuhua Qi, Rumin Wang

Polymer-based aerogels are the primary choice for many researchers developing multifunctional materials with excellent electromagnetic wave (EMW) attenuation capabilities. Based on the dielectric/magnetic synergistic loss mechanism, a structure-function integrated strategy was employed to construct CoFe₂O₄/carbon nanofibers/polyimide (CoFe₂O₄/CNFs/PI) composite aerogels with multidimensional heterogeneous structures. The composite aerogels were assembled from CoFe₂O₄ nanoparticles, CNFs, and polyamic acid salt molecular chains by directional freeze-drying. The three-dimensional conductive skeleton of CNFs/PI aerogel provided conduction loss, interface polarization, dipole polarization, and multiple reflection and scattering of EMW, which synergized with the magnetic loss provided by the magnetic filler CoFe₂O₄ to produce powerful attenuation capabilities. By adjusting the CoFe₂O₄ content to optimize impedance matching, CoFe₂O₄/CNFs/PI-2 aerogel exhibited outstanding EMW absorption performance with a minimal reflection loss of −65.5 dB. At a low thickness of 2.17 mm, the maximal effective absorption bandwidth reached 6.08 GHz, successfully covering the entire Ku band and part of the X band. Furthermore, the oriented porous structure of composite aerogels endowed them with lightweight (density of 0.085 g/cm³), superior anisotropic mechanical response, and excellent thermal insulation performance. These properties provide a solid foundation for electromagnetic protection in complex environments and aerospace applications.

聚合物基气凝胶是许多研究人员开发具有优异电磁波衰减能力的多功能材料的首选。基于介电/磁协同损耗机理，采用结构-功能一体化策略，构建了具有多维非均相结构的CoFe2O4/碳纳米纤维/聚酰亚胺（CoFe2O4/CNFs/PI）复合气凝胶。通过定向冷冻干燥将CoFe2O4纳米颗粒、CNFs和聚酰胺酸盐分子链组装成复合气凝胶。CNFs/PI气凝胶的三维导电骨架提供了EMW的传导损耗、界面极化、偶极极化以及多次反射和散射，与磁性填料CoFe2O4提供的磁损耗协同作用，产生强大的衰减能力。通过调整CoFe2O4含量来优化阻抗匹配，CoFe2O4/CNFs/PI-2气凝胶具有出色的EMW吸收性能，反射损耗最小为- 65.5 dB。在2.17 mm的低厚度下，最大有效吸收带宽达到6.08 GHz，成功覆盖了整个Ku波段和部分X波段。此外，复合气凝胶的定向多孔结构使其具有重量轻（密度为0.085 g/cm3）、优异的各向异性力学响应和优异的保温性能。这些特性为复杂环境和航空航天应用中的电磁保护提供了坚实的基础。

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引用次数: 0

Printable solid-gel change composite materials with high latent heat, enhanced shape stability and combustion safety for efficient thermal management 可打印的固体-凝胶改变复合材料具有高潜热，增强形状稳定性和燃烧安全性，有效的热管理

IF 9.8 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-10-20 DOI: 10.1016/j.compscitech.2025.111417

Yinzhou Guo , Yuanyuan Chen , Chenhui Cui , Xiaoqing Ming , Qiang Zhang , Jiao Jiao , Yilong Cheng , Zhishen Ge , Yanfeng Zhang

Phase-change materials (PCM) provide large latent heat but often suffer melting-induced leakage and poor processability. Organic phase-change materials such as polyethylene glycol are attractive for energy storage, yet they lose shape and leak after melting. We introduce a solid - gel change strategy that confines molten polyethylene glycol with an ultralow-loading aramid nanofiber and MXene network. High-aspect-ratio aramid nanofibers at 1 wt% form hydrogen bonds with two-dimensional MXene at 2 wt%. The resulting crosslinked skeleton transforms the phase-change material into a shear-thinning gel above about 65 °C. This design retains high energy density with polyethylene glycol loading of 97 wt% and a latent heat of about 158.4 J g⁻¹. Liquid leakage is reduced to around 1.8 wt%. Thermal conductivity increases by nearly five times compared with pure polyethylene glycol. The composite shows high-temperature shape stability, suppressed burning-drip behavior, efficient photothermal conversion, and reversible self-healing and reprocessing. The gel state also enables direct-write printing of customized geometries. Minimal additive content preserves latent heat while adding multifunctionality. This solid - gel change approach reconciles high energy density, thermal transport, safety, and manufacturability for next-generation thermal management.

相变材料（PCM）具有较大的潜热，但往往存在熔化引起的泄漏和较差的可加工性。聚乙二醇等有机相变材料在储能方面很有吸引力，但它们在熔化后会变形和泄漏。我们介绍了一种固体凝胶改变策略，用超低负荷芳纶纳米纤维和MXene网络限制熔融聚乙二醇。高纵横比芳纶纳米纤维在1重量%时与2重量%的二维MXene形成氢键。由此产生的交联骨架在约65°C以上将相变材料转变为剪切减薄凝胶。该设计保持了高能量密度，聚乙二醇负载为97% wt%，潜热约为158.4 J g−1。液体泄漏减少到约1.8 wt%。与纯聚乙二醇相比，导热系数提高了近5倍。该复合材料具有高温形状稳定、抑制烧滴行为、高效光热转化、可逆自愈和后处理等特点。凝胶状态还可以实现定制几何形状的直写打印。最小的添加剂含量保留了潜热，同时增加了多功能。这种固体凝胶改变方法调和了高能量密度、热传输、安全性和下一代热管理的可制造性。

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引用次数: 0

An experimental and numerical investigation into the low velocity impact response of GLARE subjected to bi-axial preloading 双轴预压作用下眩光低速冲击响应的实验与数值研究

IF 9.8 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-10-18 DOI: 10.1016/j.compscitech.2025.111419

Wenxin Zhang , Jin Zhou , Di Zhang , Jiangwei Qi , Xiaochuan Liu , Jizhen Wang , Yugang Duan , Zhongwei Guan , Wesley J. Cantwell

This study investigates the effect of bi-axial preloading (tension and compression) on the low velocity impact behaviour of GLARE (GLAss REinforced laminate) through both experimental testing and numerical simulations. In this study, a bi-axial preloading apparatus has been integrated into a conventional drop-weight impact system, coupled with high-speed three-dimensional digital image correlation, to quantify the full-field deformation profile of the plate. The experimental results demonstrate that tensile preloading enhances the stiffness of the laminate as well as the maximum impact load, but reduces the out-of-plane displacement, the impact duration and the overall level of energy absorption. In contrast, compressive preloading results in effects that run counter to those mentioned above. A finite element model involving a user-defined subroutine VUMAT has been developed, which successfully reproduced the failure modes in the preloaded panels. Discrepancies between the experimental and numerical predictions were within 13 %. The numerical analysis revealed that preloading modifies the damage modes within the laminates, wherein tensile pre-loading reduces delamination, but increases the level of fibre and matrix damage. In contrast, under 7.5 J impact energy, compressive preloading induces a more complex response, i.e. Al-GF debonding is reduced, whereas GF-GF delamination is enhanced. The net effect is dominated by the debonding reduction, resulting in an overall decrease in total delamination. Further, preloading leads to a redistribution of the in-plane stresses, thereby influencing the ability of the FMLs to absorb and dissipate impact energy, it also changes the impact response and damage characteristics of the GLARE laminates. It is believed that the current study provides an insight into the impact response of pre-stressed hybrid materials.

本研究通过实验测试和数值模拟研究了双轴预加载（拉伸和压缩）对玻璃增强层压板低速冲击性能的影响。在这项研究中，将双轴预压装置集成到传统的落锤冲击系统中，再加上高速三维数字图像相关，以量化板的全场变形轮廓。实验结果表明，拉伸预加载提高了层合板的刚度和最大冲击载荷，但降低了层合板的面外位移、冲击持续时间和整体能量吸收水平。相反，压缩预压的结果与上面提到的效果相反。建立了包含用户自定义子程序VUMAT的有限元模型，成功地再现了预加载板的失效模式。实验和数值预测之间的差异在13%以内。数值分析表明，预加载改变了层合板内部的损伤模式，其中拉伸预加载减少了分层，但增加了纤维和基体的损伤水平。相比之下，在7.5 J冲击能量下，压缩预加载引起了更复杂的响应，即Al-GF剥离减少，而GF-GF分层增强。净效应主要是脱粘减少，导致总体脱层减少。此外，预加载导致了面内应力的重新分布，从而影响了FMLs吸收和消散冲击能的能力，也改变了眩光层合板的冲击响应和损伤特性。本研究为研究预应力混杂材料的冲击响应提供了新的思路。

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引用次数: 0

Data-efficient prediction of cure-induced distortion in composite laminates using a mechanics-guided transfer learning approach 使用力学引导迁移学习方法的复合材料层合板固化诱导变形的数据有效预测

IF 9.8 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-10-14 DOI: 10.1016/j.compscitech.2025.111418

Changrong Dong , Ying Deng , Yonglin Chen , Yinbo Zhao , Qinpei Zhao , Weidong Yang , Jie Zhi , Yan Li

Accurate prediction of cure-induced distortion (CID) is critical for quality control of fiber-reinforced polymer composites. Despite recent advancements in composites manufacturing design using machine learning, CID prediction involving complex multi-physics phenomena has remained challenging, partly due to the requirement of large, high-quality training datasets for model development. In this work, we propose a mechanics-guided transfer learning framework to enable accurate and data-efficient prediction of CID in laminates across diverse lay-up configurations. A stiffness-matrix-informed multiple granularity network (S-MGN) model is developed to characterize the complex interactions between CID and lay-up information. The model leverages laminate stiffness to provide mechanistic insights into CID formation during the curing process. A carefully curated dataset of four-ply laminates with different stacking sequences was selected for training the S-MGN model. Subsequently, transfer learning was applied to predict the CID of seven-ply laminates through fine-tuning of the pre-trained model, followed by tests on eight-ply and 16-ply laminates without additional training. The results indicate that the proposed approach achieves competitive performance with limited datasets, allowing for rapid, accurate, data-efficient and robust predictions. It outperforms the benchmark convolutional neural network (CNN) model, a conventional deep neural network trained on stacking sequence inputs. Furthermore, the model identifies the underlying physics of CID using interpretable predictors, enabling it to transfer learned features across different laminates and achieve superior generalization. With its demonstrated effectiveness, the proposed artificial intelligence approach offers considerable potential for enhancing composite manufacturing optimization.

准确预测纤维增强聚合物复合材料的固化诱发变形（CID）对其质量控制至关重要。尽管最近在使用机器学习的复合材料制造设计方面取得了进展，但涉及复杂多物理现象的CID预测仍然具有挑战性，部分原因是模型开发需要大型，高质量的训练数据集。在这项工作中，我们提出了一个力学指导的迁移学习框架，以实现跨不同铺设配置的层压板中CID的准确和数据高效预测。建立了一种基于刚度矩阵的多粒度网络（S-MGN）模型，用于描述CID与铺层信息之间复杂的相互作用。该模型利用层压刚度来提供固化过程中CID形成的机理。选择了具有不同堆叠序列的精心策划的四层层压板数据集来训练S-MGN模型。随后，通过对预训练模型进行微调，将迁移学习应用于预测七层层压板的CID，随后在没有额外训练的八层和16层层压板上进行测试。结果表明，所提出的方法在有限的数据集上实现了竞争性能，允许快速、准确、数据高效和稳健的预测。它优于基准卷积神经网络（CNN）模型，这是一种基于堆叠序列输入训练的传统深度神经网络。此外，该模型使用可解释的预测器识别CID的潜在物理特性，使其能够在不同的层压板之间传输学习到的特征，并实现卓越的泛化。由于人工智能方法的有效性，它为增强复合材料制造优化提供了巨大的潜力。

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引用次数: 0

Lightweight and mechanically strong polyimide/carbon fibre composites with 3D asymmetric conductive network for integrated low-reflection EMI shielding and infrared-stealth capacity 重量轻，机械强度高的聚酰亚胺/碳纤维复合材料，具有3D不对称导电网络，具有集成低反射EMI屏蔽和红外隐身能力

IF 9.8 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-10-13 DOI: 10.1016/j.compscitech.2025.111416

Xue Shen , Xiong Li , Xiaohui Yang , Qiong Li , Nan Wang , Na Song , Tongle Xu , Peng Ding

Lightweight and mechanically strong multifunctional polymer composites with low-reflection electromagnetic interference (EMI) shielding and infrared stealth capacity are urgently needed to protect emerging electronic technologies in aerospace and military equipment. In this work, the polyimide nanocomposites composed of graphene nanosheets/Fe₃O₄ modified three-dimensional (3D) asymmetric conductive network were developed via in-situ growth and co-carbonization strategy using hierarchical modular design. Owing to the construction of 3D asymmetric conductive network, along with spatial coupling between the magnetic/dielectric synergistic loss, the resulting composites exhibit low mass density of 1.09 g/cm³, excellent EMI shielding effectiveness of 54.7 dB, and high absorption coefficient of 0.72, as well as outstanding heat-resistant mechanical properties with an improved tensile strength of 31.1 MPa and reliable infrared stealth performance. Moreover, by virtue of the multiple reflection and absorption shielding mechanism triggered by the 3D asymmetric conduction network and the synergistic effect of thermal regulation, remarkable electromagnetic wave absorption and thermal infrared stealth dual capabilities have been attained. The lightweight, mechanically strong, and absorption-dominated carbon-based polyimide electromagnetic shielding composite holds great promise for emerging applications in EMI shielding and infrared stealth in aerospace and military equipment.

在航空航天和军事装备中，迫切需要具有低反射电磁干扰（EMI）屏蔽和红外隐身能力的轻质、机械强度高的多功能聚合物复合材料来保护新兴的电子技术。本研究采用分层模块化设计，通过原位生长和共碳化策略制备了由石墨烯纳米片/Fe3O4修饰的三维（3D）不对称导电网络组成的聚酰亚胺纳米复合材料。由于构建了三维不对称导电网络，加上磁/介电协同损耗之间的空间耦合，所制得的复合材料具有低质量密度1.09 g/cm3，优异的电磁干扰屏蔽效能为54.7 dB，高吸收系数为0.72，优异的耐热力学性能，抗拉强度提高到31.1 MPa，具有可靠的红外隐身性能。此外，利用三维非对称传导网络触发的多重反射和吸收屏蔽机制以及热调节的协同效应，获得了显著的电磁波吸收和热红外隐身双重能力。碳基聚酰亚胺电磁屏蔽复合材料重量轻，机械强度高，以吸收为主，在航空航天和军事装备的电磁干扰屏蔽和红外隐身等新兴应用中具有很大的前景。

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引用次数: 0

Numerical investigation of synergistic enhancement of carbon nanotubes and graphene nanoplatelets on electrical properties of hybrid composites 碳纳米管和石墨烯纳米片协同增强复合材料电性能的数值研究

IF 9.8 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2025-10-12 DOI: 10.1016/j.compscitech.2025.111415

Zhen-Hua Tang, De-Yang Wang, Yuan-Qing Li, Shao-Yun Fu

In previous models of predicting the electrical behavior of hybrid conductive polymer composites (CPCs) with carbon nanotubes (CNTs) and another nanofiller of different geometry, CNTs were assumed to be straight and have constant length, but this is not practical for real-word CNT products. In this work, the synergistic enhancement in electrical properties of CNT/graphene nanoplatelet (GNP) hybrid CPCs is numerically investigated by considering CNT length non-uniformity and waviness characteristics. Firstly, a three-dimensional percolation network model featured with randomly distributed one-dimensional curved CNTs and two-dimensional rectangular GNPs is constructed, and percolation threshold and electrical conductivity are calculated based on Monte Carlo simulation. Subsequently, the influences of the nanofiller aspect ratio and content on electrical behaviors of hybrid CPCs are extensively investigated. Furthermore, a simple semi-empirical model is developed to describe the electrical synergistic enhancement in CNT/GNP CPCs, offering a convenient tool for composite design. The results demonstrate that optimizing the CNT-to-GNP content ratio and maximizing filler aspect ratios are key to achieving the optimal synergistic enhancement. Specifically, an optimal hybrid ratio for CPCs can reduce percolation threshold by up to 40 % compared to CNT-only composites and 50 % compared to GNP-only composites. Finally, the proposed model approach is validated against existing experimental data, demonstrating its effectiveness in predicting electrical properties of hybrid CPCs.

在先前预测碳纳米管（CNTs）和另一种不同几何形状的纳米填料混合导电聚合物复合材料（cpc）的电学行为的模型中，假设碳纳米管是直的并且具有恒定的长度，但这对于实际的碳纳米管产品是不实际的。在这项工作中，通过考虑碳纳米管长度不均匀性和波纹特性，数值研究了碳纳米管/石墨烯纳米板（GNP）混合CPCs电性能的协同增强。首先，构建了以随机分布的一维弯曲碳纳米管和二维矩形碳纳米管为特征的三维渗透网络模型，并基于蒙特卡罗模拟计算了渗透阈值和电导率。随后，广泛研究了纳米填料长径比和含量对杂化聚氯乙烯电性能的影响。此外，开发了一个简单的半经验模型来描述CNT/GNP cpc中的电协同增强，为复合材料设计提供了一个方便的工具。结果表明，优化碳纳米管与gnp的含量比和最大化填料长径比是实现最佳协同增强的关键。具体来说，与碳纳米管复合材料相比，cpc的最佳混合比例可以将渗透阈值降低高达40%，与仅gnp复合材料相比可降低50%。最后，根据现有的实验数据验证了所提出的模型方法，证明了其在预测混合cpc电性能方面的有效性。

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引用次数: 0