今日更新：Composite Structures 10 篇，Composites Part A: Applied Science and Manufacturing 3 篇，Composites Part B: Engineering 3 篇，Composites Science and Technology 5 篇Composite StructuresResidual stress development of self-shaped wood bilayers for curved cross-laminated timber elementsMohsen Naghdinasab, Gerhard Dill-Langer, Philippe Grönquistdoi:10.1016/j.compstruct.2025.120022弯曲交叉层合木材构件自形木材双层的残余应力发展Self-shaping of wood, an emerging technology, provides an innovative and sustainable means of manufacturing curved structural timber elements for construction. This technique harnesses the natural ability of wood to deform upon moisture changes in a predictable manner, without the need for extensive external shaping processes. Recent building projects successfully demonstrate the use of self-shaped wood bilayers as lamellae for load-bearing curved cross-laminated timber (CLT) elements. However, reliable information about the distribution and magnitude of residual stresses induced during self-shaping, as well as their implication on structural design, is still missing. This work employs advanced an alytical and numerical modeling to investigate the complex mechanics of the wood bilayer shaping process, with a focus on the development of residual stresses in accelerated drying conditions. Results reveal that residual axial stresses in self-shaped lamellae may range close to design strength properties of structural timber, but remain below stress levels of conventional cold-bent curved lamellae. Residual rolling shear stresses were found to cause damage during self-shaping and to reduce expected curvature.木材的自成型是一项新兴技术，为建筑提供了一种创新和可持续的制造弯曲结构木材元素的方法。这种技术利用木材的自然能力，以一种可预测的方式在湿度变化时变形，而不需要大量的外部成型过程。最近的建筑项目成功地展示了使用自成型木材双层作为承载弯曲交叉层压木材（CLT）元素的片层。然而，关于自成形过程中产生的残余应力的分布和大小以及它们对结构设计的影响的可靠信息仍然缺乏。这项工作采用先进的分析和数值模拟来研究木材双层成形过程的复杂力学，重点关注加速干燥条件下残余应力的发展。结果表明，自成形薄片的残余轴向应力可能接近结构木材的设计强度特性，但仍低于常规冷弯弯曲薄片的应力水平。发现残余的轧制剪切应力在自成形过程中造成损伤，并降低了期望曲率。Tunable topological edge states of Rayleigh waves in composite piezoelectric half-spaceChengjun Sha, Zheng Wu, Shixuan Shao, Jiyue Chen, Mehrdad Negahban, Zheng Lidoi:10.1016/j.compstruct.2025.120027复合压电半空间中瑞利波的可调谐拓扑边缘态Topological insulators (TIs) have shown great potential in the manipulation of elastic wave propagation with defect immune characteristics. In this paper, a composite piezoelectric half-space is designed by covering piezoelectric patch arrays with shunt negative capacitance circuits on the surface. By tuning the negative capacitance circuits, one can easily manipulate the topological edge states of Rayleigh waves in half-space. Based on the Su-Schrieffer-Heeger (SSH) model and the valley Hall effect, topological edge states of Rayleigh waves are obtained in one-dimensional and two-dimensional piezoelectric patch arrays attached on half-spaces. This allows energy concentration and facilitates the design of tailored concentration paths for Rayleigh waves. A universal design is proposed for topologically protected Rayleigh waveguides, which is further used to achieve straight-line, L-shaped and Z-shaped waveguides. This study not only propels advancements in the field of elastic wave control, but also enables the practical application of tunable topological edge states in the fabrication of s mart devices, thereby addressing complex real-world engineering challenges.拓扑绝缘体在控制具有缺陷免疫特性的弹性波传播方面显示出巨大的潜力。本文通过在压电贴片阵列表面覆盖并联负电容电路，设计了复合压电半空间。通过调整负电容电路，可以很容易地控制半空间中瑞利波的拓扑边缘状态。基于Su-Schrieffer-Heeger （SSH）模型和谷霍尔效应，得到了附着在半空间上的一维和二维压电贴片阵列中瑞利波的拓扑边缘态。这允许能量集中，并有利于为瑞利波设计量身定制的集中路径。提出了一种拓扑保护瑞利波导的通用设计，并进一步用于实现直线、l形和z形波导。这项研究不仅推动了弹性波控制领域的进步，而且使可调谐拓扑边缘状态在智能设备制造中的实际应用成为可能，从而解决了复杂的现实世界工程挑战。Laser-driven in-situ synthesis of boride-reinforced Inconel 718 for overcoming high temperature deformation instabilitiesWonjong Jeong, Joowon Suh, Suk Hoon Kang, Taejeong An, Avinash Chavan, Sang Hoon Kim, Heung Nam Han, Ho Jin Ryudoi:10.1016/j.compstruct.2025.120028克服高温变形不稳定性的激光驱动原位合成硼化物增强Inconel 718Additive manufacturing (AM) of Inconel 718 suffers from severe high-temperature ductility loss and dynamic strain aging (DSA) attributed to solute–dislocation interactions and microstructural heterogeneities. This study introduces a laser-driven in-situ boride-formation strategy using laser powder-directed energy deposition (LPDED) with S MART-processed powders containing up to 3 wt% TiB2. During deposition, TiB2 decomposes and reacts with Cr, Mo, and Nb to form thermally stable (Cr,Mo,Nb)3B2 borides, while increasing Al2O3 particle density and refining the microstructure. These in-situ phases reduce thermal conductivity, promote Zener pinning during heat treatment, and modify γ′/γ″ precipitation by enriching the matrix in Ti and depleting Nb. Mechanical testing demonstrates that TiB2 addition enhances both strength and strain-hardening at room and high temperatures. At 650 °C, the 1 wt% TiB2 composite achieved a yield strength of 1013 MPa with 12.6 % elongation, exceeding the AMS requirement. While the unreinforced alloy exhibited pronounced DSA-induced serrations, TiB2-reinforced samples exhibited s mooth flow behavior. DSA suppression arises from the sequestration of Nb, Cr, and Mo into stable M3B2 borides, eliminating solute-dislocation pinning, while the borides provide barriers. Overall, in-situ boride formation effectively addresses deformation instabilities in AM Inconel 718, enabling simultaneous improvements in high-temperature strength, ductility, and thermal stability.由于溶质-位错相互作用和微观组织的非均质性，增材制造（AM） Inconel 718存在严重的高温塑性损失和动态应变时效（DSA）。本研究介绍了一种激光驱动原位硼化物形成策略，使用激光粉末定向能量沉积（lpd），使用含有高达3 wt% TiB2的s mart加工粉末。在沉积过程中，TiB2与Cr、Mo、Nb分解反应生成热稳定的（Cr,Mo,Nb）3B2硼化物，同时Al2O3颗粒密度增加，显微组织细化。这些原位相降低了热导率，在热处理过程中促进了齐纳固定，并通过富集Ti和消耗Nb来改变γ′/γ″的析出。力学试验表明，在室温和高温条件下，TiB2的加入提高了材料的强度和应变硬化。在650 ℃下，1 wt%的TiB2复合材料的屈服强度为1013 MPa，伸长率为12.6 %，超过了AMS的要求。未增强的合金表现出明显的dsa诱导锯齿，而tib2增强的合金表现出光滑的流动行为。抑制DSA的原因是Nb、Cr和Mo被固定在稳定的M3B2硼化物中，消除了溶质位错钉住，而硼化物则提供了屏障。总体而言，原位硼化物形成有效地解决了AM Inconel 718的变形不稳定性问题，同时提高了高温强度、延展性和热稳定性。Mechanical properties of Al based-aluminum foam/resin interpenetrating porous composites with different interface typesEndian Liu, Huiping Li, Zhichao Li, Jiawen Li, Hai Hao, Mingming Sudoi:10.1016/j.compstruct.2025.120030不同界面类型铝基-泡沫铝/树脂互穿多孔复合材料的力学性能Interfaces are one of the key factors influencing the mechanical properties of composite structures. In this paper, four composite configurations of the Cubic with fillers were obtained using different combination processes and surface treatments. The mechanical properties of the described structures were investigated. Results showed that there was a hybrid interface between the Cubic and aluminum foam (AF) based on 3D mechanical constraints with some points metallurgically bonded, which provided the most significant enhancement in the mechanical properties, with an energy absorption enhancement of 151.72% and a yield strength enhancement of 106.88% over the sum of their components. For the Cubic and epoxy resin (E51) composite structures, the energy absorption of the composite structures with mechanically constrained interfaces, mechanically constrained with discontinuously chemically bonded interfaces, and continuously chemically bonded interfaces increased by 57.64%, 82.39%, and 105.11%, and their yield strengths increased by 44.26%, 40.66%, and 80.01%, respectively, compared to the sum of their components. The interactive strengthen effect of individual components contribute to the enhancement of the comprehensive mechanical properties of porous composites, a well-bonded interface not only absorbed more energy during interfacial separation and failure, but also provided higher deformation resistance to the composite structure.界面是影响复合材料结构力学性能的关键因素之一。采用不同的组合工艺和表面处理方法，得到了四种含填料的立方体复合结构。研究了所述结构的力学性能。结果表明，立方层与泡沫铝（AF）之间存在基于三维力学约束的杂化界面，并结合了一些冶金点，其力学性能得到了最显著的提高，其吸能提高151.72%，屈服强度提高106.88%。对于立方和环氧树脂（E51）复合结构，具有机械约束界面、具有不连续化学键界面和连续化学键界面的复合结构的吸能比其组分之和分别提高了57.64%、82.39%和105.11%，屈服强度分别提高了44.26%、40.66%和80.01%。单个组分的相互作用增强有助于提高多孔复合材料的综合力学性能，良好结合的界面不仅在界面分离和破坏过程中吸收了更多的能量，而且为复合材料结构提供了更高的抗变形能力。Recognition and quantification of polymorphic wrinkles based on FR-GAN in resin-based composite bladeJianxing Mao, Xiaoqi Wu, Wulin Si, Xiaojie Zhang, Jinchao Pan, Chao Wu, Dianyin Hu, Rongqiao Wangdoi:10.1016/j.compstruct.2025.120031基于FR-GAN的树脂基复合材料叶片多态褶皱识别与量化Wrinkle defects in carbon fiber reinforced polymer (CFRP) composite blades, especially in dovetail regions, exhibit complex polymorphic morphologies that impair structural performance. However, conventional non-destructive testing and image-based detection methods struggle to accurately recognize and quantify such defects due to data scarcity, segmentation discontinuities and the lack of robust geometric evaluation tools. To overcome these limitations, this study proposes a novel framework based on a fiber-reconstruction generative adversarial network (FR-GAN) for the intelligent recognition and quantification of polymorphic wrinkles in CFRP dovetails. The method introduces a high-quality and annotated dataset focused on dovetail-region wrinkle morphologies. It then establishes an FR-GAN to restore the segmentation results. FR-GAN reconstructs continuous fiber structures via orientation-aware modeling. It also incorporates a quantification strategy combining connected component an alysis with Piecewise Cubic Hermite Interpolating Polynomial (PCHIP) curve fitting for accurate geometric evaluation. Results indicate the method achieves an average mean Intersection over Union (mIoU) of 89.25% and Mean Absolute Error (MAE) of 8.8680 on the validation set, while FR-GAN refinement yields a Structural Similarity Index Measure (SSIM) of 0.4097 and L1 loss of 0.4405. Most wrinkle angle measurements deviate less than 15% from the ground truth, demonstrating the framework’s effectiveness for engineering-level defect detection. This work offers a scalable and high-precision solution for assessing wrinkle defects in aerospace composites and lays the groundwork for future multimodal wrinkle inspection.碳纤维增强聚合物（CFRP）复合材料叶片的褶皱缺陷，特别是在燕尾区域，表现出复杂的多态形态，影响结构性能。然而，传统的无损检测和基于图像的检测方法由于数据稀缺、分割不连续和缺乏鲁棒的几何评估工具而难以准确识别和量化这些缺陷。为了克服这些限制，本研究提出了一种基于纤维重建生成对抗网络（FR-GAN）的新框架，用于智能识别和量化CFRP燕尾中的多态褶皱。该方法引入了一个高质量的、带注释的数据集，重点关注燕尾区域皱纹形态。然后建立一个FR-GAN来恢复分割结果。FR-GAN通过定向感知建模重建连续纤维结构。结合连通分量分析和分段三次埃尔米特插值多项式（PCHIP）曲线拟合的定量策略，进行精确的几何评价。结果表明，该方法在验证集上实现了89.25%的平均交联（Intersection over Union, mIoU）和8.8680的平均绝对误差（MAE），而FR-GAN改进的结构相似指数度量（SSIM）为0.4097，L1损失为0.4405。大多数折皱角度测量值与地面真实值的偏差小于15%，证明了该框架在工程级缺陷检测方面的有效性。该研究为航空复合材料的折皱缺陷评估提供了一种可扩展、高精度的解决方案，为未来的多模态折皱检测奠定了基础。Study on microstructures and mechanical properties of ex-situ and in-situ TiC reinforced 316L fabricated through laser directed energy depositionJianrong Song, Weiwei Liu, Zongyu Ma, Ni An, Huanqiang Liu, Wanyang Li, Tao Li, Shujie Liu, Yue Zhao, Hongchao Zhangdoi:10.1016/j.compstruct.2025.120032激光定向能沉积非原位和原位TiC增强316L的显微组织和力学性能研究In 316 L austenitic stainless steel, uneven distribution of reinforcing phases and insufficient interface bonding still limit the improvement of mechanical properties. To address this scientific challenge, laser directed energy deposition (LDED) technique was used to fabricate ex-situ TiC and in-situ TiC reinforced 316 L composites, with the in-situ composites produced utilizing the decomposition reaction of Ti3SiC2. The interfacial bonding state and defect generation mechanis m between the ex-situ TiC and the matrix were investigated. The microstructure evolution process and the mechanical property enhancement mechanis m of the in-situ TiC reinforced composites were explored. The in-situ TiC reinforced composites produced have significantly reduced defects compared with the ex-situ TiC reinforced composites. Additionally, the reinforcing phase is uniformly distributed, and the anisotropy is effectively suppressed. The hardness and strength were increased by 88.34 % and 17.70 %, respectively, compared with unreinforced 316 L. It has been shown that in-situ preparation of reinforcing phases can enhance the mechanical properties of the metal matrix and provide an effective solution to the insufficient bonding between ex-situ reinforcing particles and the matrix interface. This study provides a research and theoretical foundation for the in-situ ceramic reinforced iron-based composites.316 L奥氏体不锈钢中，增强相分布不均匀，界面结合不充分，仍然限制了其力学性能的提高。为了解决这一科学挑战，采用激光定向能沉积（led）技术制备了非原位TiC和原位TiC增强316 L复合材料，利用Ti3SiC2的分解反应制备了原位复合材料。研究了非原位TiC与基体之间的界面结合状态和缺陷产生机制。探讨了原位TiC增强复合材料的微观组织演变过程和力学性能增强机理。与原位TiC增强复合材料相比，原位TiC增强复合材料的缺陷明显减少。增强相分布均匀，各向异性得到有效抑制。与未增强的316 L相比，硬度和强度分别提高了88.34 %和17.70 %。研究表明，原位制备增强相可以提高金属基体的力学性能，有效地解决了非原位增强颗粒与基体界面结合不足的问题。本研究为原位陶瓷增强铁基复合材料的研究提供了理论基础。Intelligent design of the bonded patch repairs for damaged composite laminates via conditional generative modelsZiyi Li, Qingfeng Wang, Liyong Jia, Yushu Li, Yilun Liudoi:10.1016/j.compstruct.2025.120033基于条件生成模型的复合材料层合板粘结修补智能设计Bonded patch repair is a rapid and cost-effective technique for repairing the local damage of composite laminates. However, determining the repair solution is usually time-consuming and relies on the experience of engineers due to the complex relations among an extensive set of parameters, like damage states, patch configurations, adhesive layers, repair performance, and lightweight demands. In this work, an intelligent design method integrating the conditional variational autoencoder-generative adversarial network is developed to autonomously generate repair solutions for damaged laminates under tension, compression, or both. Given the geometry and layup of damaged laminates, material properties of both adhesive layers and patches, our method can directly generate geometric parameters and layup of patches and adhesive thicknesses that meet the repair performance and lightweight demands under tension or compression. In addition, the balanced solutions for the damaged laminates under mixed compression and tension are also provided through additional criteria screening and overall repair performance evaluation. Initial and ultimate failure strains of the repaired laminates are calculated by the finite element method, showing the validity of the generated repair solutions粘结修补是一种快速、经济的修复复合材料层合板局部损伤的技术。然而，确定修复方案通常是耗时的，并且依赖于工程师的经验，因为大量参数之间的复杂关系，如损伤状态、贴片配置、粘合剂层、修复性能和轻量化要求。在这项工作中，开发了一种集成条件变分自编码器生成对抗网络的智能设计方法，用于在拉伸，压缩或两者同时存在的情况下自动生成损坏层压板的修复方案。考虑到受损层压板的几何形状和叠层、粘接层和贴片的材料特性，我们的方法可以直接生成满足拉伸或压缩下修复性能和轻量化要求的几何参数、贴片的叠层和粘接厚度。此外，还通过附加标准筛选和整体修复性能评估，给出了复合材料在压缩和拉伸混合作用下的平衡解。采用有限元法对修复后的层合板进行了初始和最终破坏应变计算，验证了修复解的有效性An accurate model for nonlinear forced vibrations of higher-order and Timoshenko cantilever beamsMarco Amabilidoi:10.1016/j.compstruct.2025.120035高阶和Timoshenko悬臂梁非线性强迫振动的精确模型An accurate higher-order model for planar nonlinear vibrations of cantilever beams is developed, taking into account nonlinear terms in (i) transverse displacement, (ii) longitudinal displacement, and (iii) rotation, as well as geometric imperfections, shear deformation, and rotary inertia. The model can be reduced to the Timoshenko beam theory, which is a first-order model, when neglecting higher-order terms. It is quite significant that the discretization is obtained by series expansions that satisfy both geometric (essential) and natural boundary conditions. A validation of the present model and a detailed convergence a nalysis are presented. It is crucial to adopt a proper expansion of the longitudinal displacement, which also satisfies the natural boundary condition of zero longitudinal force at the beam’s tip. Expansions that do not satisfy this boundary condition do not converge and result in over-predicting the system nonlinearity. Results show a very weak hardening-type nonlinearity for cantilever beams. In the case of geometric imperfections in the shape of the fundamental mode, an increase in the natural frequency and in the nonlinearity is observed, as well as differences in the time domain response of the generalized coordinates.考虑到(i)横向位移、（ii）纵向位移和（iii）旋转以及几何缺陷、剪切变形和旋转惯性等非线性项，建立了悬臂梁平面非线性振动的精确高阶模型。当忽略高阶项时，该模型可简化为一阶模型Timoshenko梁理论。通过同时满足几何（本质）和自然边界条件的级数展开得到离散化是非常重要的。给出了模型的验证和详细的收敛性分析。在满足梁端纵向力为零的自然边界条件下，采用适当的纵向位移展开是至关重要的。不满足此边界条件的展开式不收敛，导致系统非线性的过度预测。结果表明，悬臂梁具有非常弱的硬化型非线性。在基模形状的几何缺陷的情况下，观察到固有频率和非线性的增加，以及广义坐标的时域响应的差异。Design and fabrication of 3D isotropic chiral lattice metamaterials inspired by Kong-Ming locksXiangyu Guo, Yuanming Xu, Xin Wang, Nan Zhu, Xiang Xu, Haibo Ji, Zengshen Yue, Zhen Li, Bingyang Li, Pengfei Wang, Tian Jian Ludoi:10.1016/j.compstruct.2025.120026受孔明锁启发的三维各向同性手性晶格超材料的设计与制造Structural materials for engineering applications often operate under forces from multiple directions, demanding isotropic mechanical performance. Mechanical metamaterials (MMs) exhibit high designability in mechanical properties, and their topology-based designs have enabled the realization of nearly isotropic mechanical responses in theory. However, most MMs are fabricated via additive manufacturing processes, where the layer-by-layer deposition introduces materials anisotropy that limits the actual performance obtained. Inspired by Kong-Ming Locks, this work proposes an orientation-controlled assembly strategy that transforms anisotropic 3D-printed modules into mechanically-enhanced isotropic metamaterials. The MM architecture is decomposed into modular planar components (printed with filaments aligned to its principal load-bearing direction); the components are then mechanically assembled to a macroscopic MM, thereby altering the deposition orientation along critical loading paths and enhancing isotropy. Experiments and finite element simulations are conducted to evaluate the mechanical performance under quasi-static, dynamic impact, and cyclic fatigue loads. The near-isotropic mechanical responses are achieved in assembled MMs: compared with integrated MMs, their anisotropy level is reduced by 94.3%, while stiffness, strength, failure strain, and energy absorption increase by 9.3%, 50.0%, 59.1%, and 155.5%, respectively. The proposed strategy provides a route to overcome AM-induced anisotropy and enables scalable manufacturing of high-performance, isotropic metamaterials for complex service environments.工程应用的结构材料经常受到来自多个方向的力的作用，要求各向同性的力学性能。机械超材料在力学性能上具有很高的可设计性，其基于拓扑结构的设计在理论上可以实现近乎各向同性的力学响应。然而，大多数mm是通过增材制造工艺制造的，其中逐层沉积引入了材料的各向异性，限制了获得的实际性能。受孔明锁的启发，这项工作提出了一种方向控制的装配策略，将各向异性的3d打印模块转化为机械增强的各向同性超材料。MM架构被分解为模块化平面组件（打印的细丝与主承重方向对齐）；然后将组件机械组装成宏观MM，从而改变沿关键加载路径的沉积方向并增强各向同性。通过实验和有限元模拟，对其在准静态、动态冲击和循环疲劳载荷下的力学性能进行了评价。与集成模组相比，组合模组的各向异性水平降低了94.3%，而刚度、强度、破坏应变和能量吸收分别提高了9.3%、50.0%、59.1%和155.5%。提出的策略为克服am诱导的各向异性提供了一条途径，并为复杂的服务环境提供了高性能、各向同性超材料的可扩展制造。A novel numerical method for finite difference modeling of FRP-concrete interfacial behavior and applicationsMingrui Teng, Peng Feng, Hongwei Lin, Peizhao Zhou, Daobo Zhangdoi:10.1016/j.compstruct.2025.120018frp -混凝土界面特性有限差分数值模拟新方法及其应用The interface between fiber reinforced polymer (FRP) and concrete is a cornerstone in the strengthening of structures. Numerical methods such as finite difference modeling can efficiently obtain the mechanical behavior from local bond–slip model. However, existing methods struggle to capture full range load–displacement curves and to maintain both precision and computational efficiency. This paper presents a novel numerical method integrating the high order Runge–Kutta method and flexible boundary condition applications. This method can quickly generate high-precision bond-slip distributions and full range load–displacement curves including snap-back phenomenon. Comparisons with an alytical solutions of diverse bond–slip models and experimental results validate the accuracy of this method. Further applying this method to laterally confined interfaces—an insufficiently researched domain lacking a nalytical solutions—a parametric an alysis was conducted to elucidate the mechanical behavior.The classicconcept of effective bond length (L_eff) is discussed and found inapplicable due to residual bond stress. The proposed method and revealed patterns proposed in this paper can provide an in-depth understanding for interface employing complex bond-slipmodels and advance the research of various novelmodels.纤维增强聚合物（FRP）与混凝土之间的界面是结构加固的关键所在。诸如有限差分建模之类的数值方法能够从局部粘结滑移模型中高效地获取力学行为。然而，现有的方法难以捕捉到全范围的荷载 - 位移曲线，同时难以兼顾精度和计算效率。本文提出了一种结合高阶龙格 - 库塔方法和灵活边界条件应用的新型数值方法。该方法能够快速生成高精度的粘结滑移分布以及包括弹回现象在内的全范围荷载 - 位移曲线。通过与不同粘结滑移模型的解析解和实验结果进行对比，验证了该方法的准确性。进一步将该方法应用于横向约束界面——一个缺乏解析解且研究不足的领域——进行了参数分析以阐明其力学行为。经典的有效粘结长度（L_eff）概念因残余粘结应力的存在而被讨论并发现其不适用。本文所提出的方案及揭示的模式能够为采用复杂粘结滑移模型的界面提供深入的理解，并推进各种新型模型的研究。Composites Part A: Applied Science and ManufacturingEffect of stacking sequence on the electromagnetic shielding and mechanical properties of jute /graphite reinforced polylactic acid compositesHongyang Li, Jiahua Yang, Ni Wang, Lan Yaodoi:10.1016/j.compositesa.2025.109550堆积顺序对黄麻/石墨增强聚乳酸复合材料电磁屏蔽及力学性能的影响Imparting electromagnetic (EM) shielding properties to the natural fiber reinforced composites is becoming necessary when they are applied in the signal trans mission area. In this study, four types of jute/graphite hybrid fiber reinforced polylactic acid (PLA) composites and two types of pure fiber composites were designed, where jute and graphite fiber appeared in the form of jute fabric and graphite felt. As the graphite fiber is conductive, the four types of hybrid fiber composites and the pure graphite fiber composite were tested to have adequate EM shielding effectiveness. The composite with graphite felts as the top and bottom layers and jute fabrics as the two middle layers (GJJG composite) achieved the highest EM shielding effectiveness of 54.40 dB, indicating greater distance between the two conductive layers led to higher EM shielding effectiveness. Graphic models were built for an alyzing the process of EM wave passing through the composites. GJJG still showed the optimum overall mechanical performance and its after-fracture mode exhibited different fiber-resin bonding behaviors from different fibers. The novel contribution of this research is providing the effect of fiber stacking sequences on EM shielding and mechanical properties, which is new and significantly important in natural fiber composite area.天然纤维增强复合材料在信号传输领域的应用，需要赋予其电磁屏蔽性能。本研究设计了四种黄麻/石墨混杂纤维增强聚乳酸（PLA）复合材料和两种纯纤维复合材料，其中黄麻和石墨纤维以黄麻织物和石墨毡的形式出现。由于石墨纤维具有导电性，对四种混杂纤维复合材料和纯石墨纤维复合材料进行了电磁屏蔽性能测试。以石墨毡为上下两层，黄麻织物为中间两层的复合材料（GJJG复合材料）的电磁屏蔽效能最高，达到54.40 dB，说明两导电层之间的距离越大，电磁屏蔽效能越高。建立了图形模型，分析了电磁波通过复合材料的过程。GJJG仍表现出最佳的综合力学性能，其断裂后模式表现出不同纤维的纤维-树脂结合行为。本研究的新颖贡献在于提供了纤维堆叠顺序对电磁屏蔽和力学性能的影响，这在天然纤维复合材料领域具有重要意义。Hybridising self-reinforced polypropylene with flax fibresPaul Woody, Jonas Van Damme, Yentl Swolfsdoi:10.1016/j.compositesa.2025.109553自增强聚丙烯与亚麻纤维的杂交Self-reinforced polypropylene (SRPP) is a lightweight and tough material, but its relatively low stiffness limits the number of potential applications. Hybridisation, whereby an optimised volume fraction (Vf) of low elongation (LE) fibre is used to reinforce the ductile polypropylene (PP), is a method used for improving initial stiffness whilst retaining a pseudo-ductile failure. However, as the Vf of LE fibre within the hybrid is increased, the ability to retain a ductile failure mode diminishes. This work assesses whether twisting PP tapes to form a PP yarn and weaving them using a novel 3D angle interlocking weave, can be beneficial for maintaining the pseudo-ductile response at greater Vf’s of LE reinforcement (in this case aligned flax fibres). A comparison is made with hybrids manufactured using flat tape weaves (twill 2/2) with tensile strength, penetration impact resistance and interlayer bond strength assessed. With a hybrid flax Vf of 11%, the initial stiffness of the 3D woven SRPP was increased by 165%, whilst retaining 87% of the baseline SRPP strength and 98% of the failure strain. This work successfully demonstrates the advantages of employing a novel 3D angle-interlocking weave to produce interlayer SRPP composites reinforced with flax fibres.自增强聚丙烯（SRPP）是一种轻质且坚韧的材料，但其相对较低的刚度限制了潜在应用的数量。杂化是一种优化的低伸长率（LE）纤维体积分数（Vf）来增强延性聚丙烯（PP）的方法，它可以提高初始刚度，同时保持伪延性破坏。然而，随着混合材料中LE纤维的Vf增加，保持延性破坏模式的能力减弱。本研究评估了缠绕PP带形成PP纱并使用新型3D角度互锁编织是否有利于在较大的LE增强（在这种情况下是排列的亚麻纤维）的Vf下保持伪延性响应。与使用平带编织（斜纹2/2）制造的混合材料进行了比较，评估了抗拉强度、抗渗透冲击能力和层间粘合强度。当混合亚麻Vf为11%时，3D编织SRPP的初始刚度增加了165%，同时保留了基线SRPP强度的87%和失效应变的98%。这项工作成功地证明了采用一种新颖的三维角度互锁组织来生产亚麻纤维增强的层间SRPP复合材料的优点。Aromatic π–π interaction–driven sizing strategy for enhanced interfacial adhesion in carbon fiber/PPESK thermoplastic compositesYaoxin Xie, Yining Wang, Yu Deng, Zhimin Wang, Wenhui Zhou, Cheng Liu, Xigao Jian, Yousi Chendoi:10.1016/j.compositesa.2025.109551 芳香族π -π相互作用驱动的施胶策略增强碳纤维/PPESK热塑性复合材料的界面附着力Carbon fiber reinforced thermoplastic composites (CFRTPs) often exhibit limited mechanical performance due to weak interfacial adhesion between carbon fibers and the thermoplastic matrix. In this work, a series of heteroaromatic poly(arylene ether ketone)s (PPFEKs) were synthesized by varying the molar ratio between 4-(4-hydroxyphenyl)phthalazin-1(2H)-one (DHPZ) and 9,9-bis(4-hydroxyphenyl)fluorene (BPF) to serve as sizing agents for desized carbon fibers. Experimental characterizations and molecular dynamics (MD) simulations jointly revealed that PPFEKs strongly adsorbed on carbon fiber surfaces through π–π stacking interactions. The optimized formulation (BPF:DHPZ = 7:3) significantly enhanced interfacial bonding, yielding flexural and interlaminar shear strengths of 1749 MPa and 81.9 MPa—43 % and 47 % higher than the desized composite, respectively. Raman microspectroscopy provided direct spectroscopic evidence of π–π electronic coupling at the interface. This study establishes a π–π interaction–driven sizing strategy for efficient interfacial engineering, offering a practical and scalable route to improve the mechanical performance of CFRTPs碳纤维增强热塑性复合材料（CFRTPs）由于碳纤维与热塑性基体之间的界面附着力较弱，往往表现出有限的机械性能。本文通过改变4-（4-羟基苯基）酞嗪-1(2H)- 1（DHPZ）和9,9-双（4-羟基苯基）芴（BPF）的摩尔比，合成了一系列杂芳香聚芳醚酮（PPFEKs），作为浆料碳纤维的上浆剂。实验表征和分子动力学（MD）模拟共同表明，PPFEKs通过π -π堆积相互作用在碳纤维表面进行了强吸附。优化后的配方（BPF:DHPZ = 7:3）显著增强了复合材料的界面结合，屈服弯曲强度和层间剪切强度分别比浆化后的复合材料提高了1749 MPa和81.9 MPa - 43 %和47 %。拉曼微光谱提供了界面处π -π电子耦合的直接光谱证据。本研究建立了一种π -π相互作用驱动的高效界面工程施胶策略，为提高cfrtp的力学性能提供了一条实用且可扩展的途径Composites Part B: EngineeringDual-scale basalt fiber-reinforced AA6061 composites fabricated by additive friction stir depositionGui Wei, Qingbo Yang, Yizhou Shen, Zhihong Jia, Jiawei Jiang, Chenglong Zhao, Wancheng Lyu, Xunzhong Guodoi:10.1016/j.composites b.2025.113377添加搅拌摩擦沉积制备双尺度玄武岩纤维增强AA6061复合材料In this work, a dual-scale (micro- and nano-sized) basalt fiber (BF)-reinforced AA6061 composite was fabricated via additive friction stir deposition (AFSD) with a pre-deposited layer strategy. This method promotes uniform in effective fragmentation and dispersion of short-cut BFs within the Al matrix, forming a crack-free, diffusion-bonded BF/Al interface with a ∼7 nm transition layer. This transition layer overcomes the poor bonding and uncontrolled reactions of conventional techniques, providing an important interface basis for the storage of dislocations during the AFSD process. The synergistic interaction of dual-scale BFs establishes complementary dislocation management pathways-geometrically necessary dislocations (GNDs) generation at BF/Al interfaces, mobile dislocation trapping and pinning-enhancing overall dislocation storage, while micro-BFs compensate for spatial heterogeneities in nano-BFs and Mg-Si clusters to promote a uniform dislocation distribution. The micro- and nano-BFs cooperatively activate grain refinement, particle-stimulated nucleation (PSN), dislocation storage, and Orowan strengthening, leading to a synergistic enhancement of both strength and ductility. The resulting composite achieves a yield strength of 139 MPa, ultimate tensile strength of 287 MPa, and elongation of 27 %, demonstrating the power of dual-scale fiber design and interfacial engineering in AFSD for high-performance structural materials.本文采用预沉积策略，通过添加搅拌摩擦沉积（AFSD）制备了玄武岩纤维（BF）增强的双尺度（微纳米级）AA6061复合材料。该方法促进了Al基体中捷径BF的有效破碎和分散的均匀性，形成了无裂纹的扩散结合BF/Al界面，并具有~ 7 nm的过渡层。该过渡层克服了传统技术的键合不良和反应失控的问题，为AFSD过程中位错的储存提供了重要的界面基础。双尺度BFs的协同作用建立了互补的位错管理路径——在BF/Al界面产生几何必要位错（GNDs），移动位错捕获和钉住增强整体 位错存储，而微BFs补偿了纳米BFs和Mg-Si簇中的空间异质性，以促进均匀的位错分布。微观和纳米bfs协同激活晶粒细化、粒子激发形核（PSN）、位错储存和Orowan强化，从而协同提高强度和延展性。该复合材料的屈服强度为139mpa，极限抗拉强度为287mpa，伸长率为27%，证明了双尺度纤维设计和界面工程在高性能结构材料AFSD中的作用。Preform-structure integrated strength an alysis of ceramic matrix composite blade shroudTao Wu, Jianyu Xu, Sheng Zhang, Qiang Chen, Fang Wang, Xiguang Gao, Yingdong Songdoi:10.1016/j.composites b.2025.113378陶瓷基复合材料叶片叶冠预制结构综合强度分析Turbine blades made of ceramic matrix composite offer a wide range of possible uses as a crucial structural element in airplane engines. In this study, a preform-structure integrated strength an alysis method for turbine blade shrouds non-periodic structure is developed. The test specimens are subjected to static tensile tests at room temperature. Based on these test specimens, create a microstructural model and a finite element model, determine the yarn material characteristics, and carry out a progressive damage an alysis. The success of this approach is finally confirmed by a thorough review of the finite element ana lysis and real test results.由陶瓷基复合材料制成的涡轮叶片作为飞机发动机的关键结构元件，具有广泛的用途。本文提出了涡轮叶片叶冠非周期结构的预成型-结构一体化强度分析方法。试件在室温下进行静态拉伸试验。基于这些试件，建立微观结构模型和有限元模型，确定纱线材料特性，并进行逐级损伤分析。通过对有限元分析和实际试验结果的全面审查，最终证实了该方法的成功。Monomer and Fiber Recovery from Prepreg via Chemical SolvolysisZehan Yu, Andrew R. Rander, E.Aaron Martinez, Ding-Yuan Lim, Travis J. Williams, Steven R. Nuttdoi:10.1016/j.composites b.2025.113345化学溶剂解法从预浸料中回收单体和纤维Chemical recycling offers a valorization pathway for expired prepregs with the potential to recover both monomers and well-preserved fiber fabrics, yet this approach has been largely overlooked. Here, we present the first chemical recycling protocol capable of realizing this potential, recovering both fine chemical monomers and intact, re-manufacturable fiber fabrics from expired amine/epoxy prepregs. From bisphenol A diglycidyl ether (DGEBA)/3,3′-diaminodiphenyl sulfone (3,3′-DDS) prepregs, an organic solvent wash in ethyl acetate at 75 °C and ambient pressure enabled isolation of 3,3′-DDS in high yield (up to 90%) and high purity through liquid–liquid extraction and recrystallization. DGEBA-derived species were also isolated and subsequently converted to bisphenol A (BPA) with high purity and yield (up to 72%) under hydrothermal conditions developed in this work. Carbon fiber (CF) fabrics were further cleaned under depolymerization conditions, retaining > 92% tensile strength and > 98% modulus, while preserving fabric architecture. The recovered CF fabrics were remanufactured into prepregs to produce second-generation composites that were well consolidated and exhibited short beam shear (S BS) strength comparable to virgin composites. Diamine hardener, 3,3′-DDS, was derivatized under the depolymerization conditions and then restored to the parent diamine through hydrogenolysis. Collectively, this work establishes the first closed-loop chemical recycling pathway that valorizes resin, hardener, and fiber fabric from expired prepreg.化学回收为过期预浸料提供了一种增值途径，有可能回收单体和保存完好的纤维织物，但这种方法在很大程度上被忽视了。在这里，我们提出了第一个能够实现这一潜力的化学回收方案，从过期的胺/环氧预浸料中回收精细化学单体和完整的、可再制造的纤维织物。从双酚A二缩水甘油醚(DGEBA)/3,3 ' -二氨基二苯基砜（3,3 ' -DDS）预浸料中，用有机溶剂在75°C和环境压力下在乙酸乙酯中洗涤，通过液-液萃取和重结晶，以高收率（高达90%）和高纯度分离3,3 ' -DDS。本研究还分离了dgeba衍生物，并在水热条件下以高纯度和高收率（高达72%）转化为双酚A （BPA）。在解聚条件下进一步清洗碳纤维（CF）织物，在保留织物结构的同时，保持> 92%的拉伸强度和> 98%的模量。回收的CF织物被重新制造成预浸料，以生产第二代复合材料，该复合材料具有良好的固结性，并具有与原始复合材料相当的短梁剪切（S BS）强度。二胺固化剂3,3 ' -DDS在解聚条件下衍生，然后通过氢解还原为母体二胺。总的来说，这项工作建立了第一个闭环化学回收途径，从过期的预浸料中回收树脂、硬化剂和纤维织物。Composites Science and TechnologyAPPLICATION OF AN UNSUPERVISED DEEP LEARNING FRAMEWORK FOR ACOUSTIC EMISSION-BASED CHARACTERIZATION OF DELAMINATION PROCESS IN COMPOSITE LAMINATESJakub Rzeczkowskidoi:10.1016/j.compscitech.2025.111507 应用无监督深度学习框架对复合材料层合板的分层过程进行声发射表征This study presents an advanced unsupervised deep learning framework for characterization of delamination processes in composite laminates based on acoustic emission (AE) measurements. The AE signal descriptors acquired during a double cantilever beam test were processed through a multi-stage an alytical pipeline integrating stacked autoencoder for nonlinear feature extraction, uniform manifold approximation and projection (UMAP) for low-dimensional embedding and hierarchical density-based spatial clustering of applications with noise (HDBSCAN) for unsupervised acoustic emission signals classification. This comprehensive approach enabled the effective segregation of heterogeneous AE events into distinct clusters associated with specific damage mechanis ms occurring during delamination process. The clustering outcomes were further validated through complementary time-frequency ana lysis by using continuous wavelet transform (CWT). In addition, a scanning electron microscopy fractographic observations of real delamination surfaces were also conducted. The proposed framework facilitated the differentiation of AE signal groups that may be associated with typical damage mechanis ms, including matrix cracking, interfacial debonding with fiber pull-out and delamination. By removing the reliance on manual feature engineering and labeled datasets, this methodology provides a fully data-driven tool for interpretation of complex acoustic emission data. Furthermore, a prototype software application was developed to enable real-time processing, clustering and visualization of AE signals during experimental testing. The originality of this work lies in the integration of deep representation learning, nonlinear manifold embedding and density-based clustering into a coherent unsupervised an alytical framework enabling efficient clustering of nonlinear acoustic emission data acquired during experimental testing of composite laminates.本研究提出了一种先进的无监督深度学习框架，用于表征基于声发射（AE）测量的复合材料层压板的分层过程。在双悬臂梁测试过程中获得的声发射信号描述符通过多层分析管道进行处理，该管道集成了堆叠自编码器进行非线性特征提取，均匀流形逼近和投影（UMAP）进行低维嵌入，基于分层密度的带噪声应用空间聚类（HDBSCAN）进行无监督声发射信号分类。这种综合的方法能够有效地将异质声发射事件分离成与分层过程中发生的特定损伤机制相关的不同簇。通过连续小波变换（CWT）的互补时频分析进一步验证聚类结果。此外，还对实际脱层表面进行了扫描电镜断口观察。所提出的框架有助于区分可能与典型损伤机制相关的声发射信号群，包括基体开裂、界面脱粘（纤维拔出）和分层。通过消除对手动特征工程和标记数据集的依赖，该方法为复杂声发射数据的解释提供了完全数据驱动的工具。此外，开发了一个原型软件应用程序，实现了实验测试过程中声发射信号的实时处理、聚类和可视化。这项工作的独创性在于将深度表示学习，非线性流形嵌入和基于密度的聚类集成到一个连贯的无监督分析框架中，从而能够有效地聚类复合材料层压板实验测试期间获得的非线性声发射数据。A novel algorithm for generating RVEs of continuous fiber reinforced composites with high fiber volume fractionWujie Chen, Kunkun Fu, Yan Lidoi:10.1016/j.compscitech.2025.111505 一种高纤维体积分数连续纤维增强复合材料RVEs生成新算法A novel algorithm was developed for generating representative volume elements (RVEs) of randomly distributed continuous fiber reinforced composites (CFRCs) with high fiber volume fraction, based on a modified optimization approach of two-dimensional packing problems. This study presents, for the first time, a novel application of two-dimensional packing algorithms to composite RVE modeling, enabling the generation of RVEs with high fiber volume fractions (FVFs). To simultaneously satisfy inter-fiber distance constraints and ensure randomness in fiber distribution, a parameter representing the inter-fiber distance was incorporated into the constraint equations of the optimization model and was specified to follow a uniform random distribution. Fiber diameters can be defined as either constant values or assigned based on statistical distribution functions. The algorithm successfully achieved fiber volume fractions of up to 80% while maintaining sufficient inter-fiber distances to enable finite element meshing of the RVEs. Moreover, the proposed method exhibited comparatively high computational efficiency over several existing RVE generation techniques for CFRCs. The spatial randomness of the fiber arrangement was confirmed by an alyzing the generated RVEs with various statistical functions. Finally, the validity of the RVEs was verified by comparing finite element simulation results with experimental mechanical property data from T700/7901 epoxy composites, demonstrating the effectiveness of the proposed algorithm.针对高纤维体积分数随机分布连续纤维增强复合材料（CFRCs）的代表性体积元问题，提出了一种基于改进的二维布局优化方法的新算法。该研究首次提出了二维填充算法在复合RVE建模中的新应用，能够生成具有高纤维体积分数（FVFs）的RVE。为了同时满足光纤间距离约束和保证光纤分布的随机性，在优化模型的约束方程中加入了一个表示光纤间距离的参数，并使其服从均匀随机分布。纤维直径既可以定义为常数，也可以根据统计分布函数分配。该算法成功地实现了高达80%的光纤体积分数，同时保持了足够的光纤间距离，以实现rve的有限元网格划分。此外，与现有的几种CFRCs RVE生成技术相比，该方法具有较高的计算效率。利用各种统计函数对生成的rve进行分析，证实了纤维排列的空间随机性。最后，将有限元模拟结果与T700/7901环氧复合材料力学性能实验数据进行对比，验证了RVEs算法的有效性。Enhancing Polymer Composite Performance through Optimized Alignment with Machine Learning and In-Situ Monitoring in Electrically Assisted Vat PhotopolymerizationTengteng Tang, Namratha Gopalabhatla, Jhati Seelapureddy, Jessica Westerham, Srikar Anudeep Remani, Shah Md Ashiquzzaman Nipu, Minju Yoo, Shenghan Guo, Xiangjia Lidoi:10.1016/j.compscitech.2025.111506 在电辅助釜式光聚合中，通过机器学习和原位监测优化排列增强聚合物复合材料性能Electrically assisted vat photopolymerization (E-VPP) presents a transformative approach for fabricating bioinspired, multiscale polymer composites with programmable anisotropic properties. By integrating dynamic electric field modulation with high-resolution video projection, E-VPP enables high-speed, cost-effective additive manufacturing of photocurable liquid crystal–silicon carbide (LC/SiC) nanocomposites. Precise nanofiller alignment achieved during printing is critical for tailoring microarchitectures and enhancing mechanical performance in a directionally controlled manner. A key challenge in this process is the real-time monitoring of nanofiller alignment, due to limited visual access during fabrication. To address this, we develop a generalizable machine learning prediction model that not only enables in-situ monitoring through video an alysis but also accurately forecasts optimal alignment states across varying electric field conditions. Video data acquired during printing are an alyzed using convolutional neural networks (CNNs) for feature extraction and principal component a nalysis (PCA) for dimensionality reduction. Anomaly detection techniques, such as Hotelling’s T-squared an alysis, are employed to identify time windows of stable alignment. These data-driven insights guide optimal voltage application and process timing, ensuring consistent material quality and reproducible anisotropy. Aligned nanofillers substantially enhance anisotropic structural deformation and enable shape-morphing functionality. Specifically, the alignment of liquid crystal elastomer precursors results in programmable deformation in response to drying stimuli. The method accommodates complex geometries and heterogeneous material compositions, broadening its applicability to soft robotics, adaptive optics, biomedical scaffolds, and flexible electronics. This work establishes E-VPP as a scalable, intelligent manufacturing platform for engineering high-performance, multifunctional polymer composites with spatially programmable anisotropy.电辅助还原光聚合（E-VPP）为制造具有可编程各向异性特性的生物启发、多尺度聚合物复合材料提供了一种革命性的方法。通过将动态电场调制与高分辨率视频投影相结合，E-VPP实现了光固化液晶碳化硅（LC/SiC）纳米复合材料的高速、经济高效的增材制造。在打印过程中实现精确的纳米填料对齐对于定制微结构和以定向控制的方式提高机械性能至关重要。在这个过程中一个关键的挑战是实时监测纳米填料排列，由于有限的视觉访问在制造过程中。为了解决这个问题，我们开发了一种通用的机器学习预测模型，该模型不仅可以通过视频分析进行现场监测，还可以准确预测不同电场条件下的最佳对准状态。采用卷积神经网络（cnn）进行特征提取，主成分分析（PCA）进行降维，对打印过程中采集的视频数据进行分析。异常检测技术，如霍特林的t平方分析，被用来识别稳定对准的时间窗。这些数据驱动的见解指导最佳电压应用和工艺时机，确保一致的材料质量和可重复的各向异性。排列的纳米填料大大增强了各向异性结构变形和实现形状变形功能。具体来说，液晶弹性体前体的排列导致可编程变形，以响应干燥刺 激。该方法适用于复杂的几何形状和异质材料组成，扩大了其在软机器人、自适应光学、生物医学支架和柔性电子领域的适用性。这项工作建立了E-VPP作为一个可扩展的智能制造平台，用于工程高性能、多功能、具有空间可编程各向异性的聚合物复合材料。Series-Structured Design for Enhanced Pyroresistive Properties in Low Switching Temperature PTC CompositesTeng Li, Chang Dong, Li Yang, Hui-Kang Xu, Gui-Lin Song, Jie Li, Yue-Yi Wang, Ding-Xiang Yan, Zhong-Ming Lidoi:10.1016/j.compscitech.2026.111516 提高低开关温度PTC复合材料热阻性能的系列结构设计Positive temperature coefficient (PTC) composites with low switching temperature (Ts) are critical for self-regulating heating in spacecraft optical systems and energy systems, nevertheless, balancing low initial resistivity, high PTC intensity, and fast heating rate is still challenged. This work designs a novel low Ts PTC composite with series structure to conquer such contradictions, comprising a PTC switching module as interlayer and highly conductive heating modules as upper/lower layers. The architecture simultaneously leverages the sharp PTC effect of interlayers and rapid heating effect of upper/lower layers, resulting in obvious advantages in pyroresistivity properties and self-regulating heating performance. The series-structured composite achieves improved PTC intensity of 6.7 with the corresponding heater average heating rate of 25.8 oC/min, in comparison to 6.2 and 7.8 oC/min for the conventional PTC composite, while these two composites possess similar low Ts (38 oC) and initial resistivity (45 Ω·cm). The series-structured composite also demonstrates exceptional reproducibility of pyroresistivity properties with 89% resistivity retention over 500 heating-cooling cycles. Furthermore, as an innovative design architecture transcending compositional constraints, adjusting module compositions enables flexible tuning of pyroresistivity properties of the series-structured composites and average heating rates and equilibrium temperatures of the corresponding heater without compromising stability. This work provides a new guideline for developing low Ts PTC composites with potential applications in customizable aerospace de-icing, automotive heaters, and battery thermal management systems.低开关温度的正温度系数（PTC）复合材料是航天器光学系统和能源系统自调节加热的关键，但如何平衡低初始电阻率、高开关温度强度和快速加热速率仍然是一个挑战。为了克服这一矛盾，本文设计了一种新颖的串联结构的低Ts PTC复合材料，其中PTC开关模块为中间层，高导电加热模块为上下两层。该结构同时利用了中间层的明显PTC效应和上下层的快速加热效应，在热阻性能和自调节加热性能上具有明显的优势。串联结构复合材料的PTC强度达到6.7，加热器的平均加热速率为25.8 oC/min，而常规PTC复合材料的平均加热速率为6.2 oC/min和7.8 oC/min，两种复合材料具有相似的低Ts （38 oC）和初始电阻率（45 Ω·cm）。该系列结构复合材料还表现出优异的热阻特性再现性，在500次加热-冷却循环中保持89%的电阻率。此外，作为一种超越成分限制的创新设计架构，调整模块成分可以在不影响稳定性的情况下灵活调整串联结构复合材料的热阻特性以及相应加热器的平均加热速率和平衡温度。这项工作为开发低Ts PTC复合材料提供了新的指导方针，该复合材料在可定制的航空航天除冰、汽车加热器和电池热管理系统中具有潜在的应用前景。Integrated Capacitive-Resistive Multiplexing Technology for achieving Pressure-Strain Decoupling in Dual-Parameter Flexible SensorShixue He, Jian Wu, Qiandiao Wei, Zhihao Chen, Shouyao Liu, Benlong Su, Youshan Wangdoi:10.1016/j.compscitech.2026.111518 实现双参数柔性传感器压力-应变解耦的集成容阻复用技术Flexible sensors are widely used in various fields but still encounter significant challenges (crosstalk of electromechanical signals, internal information monitoring) in monitoring complex environment. To address this challenge, we report a dual-parameter flexible pressure sensor based on a capacitive-resistive multiplexing architecture that ensures multiple parameter acquisition. The dual-parameter flexible sensor comprises a pressure-insensitive strain sensing unit (NR-CNT/GO) and a cross-response pressure sensing unit (PDMS/CNT porous structure). The sensor shows excellent stability and responsiveness with a pressure range of 0-1000 kPa or a strain range of 0-150% under a single stimulus. Additionally, the sensor has excellent resolution under dual stimuli, and the deviation between the theoretical model decoupling and the experimental data of the pressure sensing unit with cross-response is less than 13%. Finally, a monitoring system with the sensor embedded in the rubber wheel (broad temperature range environment) demonstrates the application potential of the designed sensor for multi-parameter sensing under complex conditions.柔性传感器被广泛应用于各个领域，但在复杂环境的监测中仍面临着重大挑战（机电信号串扰、内部信息监测）。为了解决这一挑战，我们报告了一种基于容阻复用架构的双参数柔性压力传感器，可确保多参数采集。双参数柔性传感器包括一个压力不敏感应变传感单元（NR-CNT/GO）和一个交叉响应压力传感单元（PDMS/CNT多孔结构）。该传感器在单次刺 激下的压力范围为0- 1000kpa，应变范围为0-150%，具有良好的稳定性和响应性。此外，该传感器在双重刺 激下具有优异的分辨率，具有交叉响应的压力传感单元的理论模型解耦与实验数据的偏差小于13%。最后，通过将传感器嵌入橡胶轮（宽温度范围环境）的监测系统，验证了所设计传感器在复杂条件下多参数传感的应用潜力。来源：复合材料力学仿真Composites FEM
