【新文速递】2025年1月4日固体力学SCI期刊最新文章

今日更新：Composite Structures 2 篇，Composites Part A: Applied Science and Manufacturing 3 篇，Composites Science and Technology 1 篇Composite StructuresFabrication and electro-thermal performances of glass fiber/carbon nanotube film compositesYaofei Huang, Zhiyong Zhao, Chong Peng, Kuo Yang, Pengfei Gao, Jun Gao, Xingrong Chu, Yaoqi Wangdoi:10.1016/j.compstruct.2024.118808玻璃纤维/碳纳米管薄膜复合材料的制备及其电热性能This study explores the electrothermal properties of a new glass fiber reinforced polymer (GFRP) composite with embedded carbon nanotube (CNT) film, aimed at enhancing anti-icing and de-icing efficiencies in marine and aerospace applications. Produced using the floating catalyst chemical vapor deposition (FCCVD) method, the CNT film was integrated within glass fiber/phenolic resin layers. Evaluations included microstructure characterization, thermal analysis, and mechanical testing, which confirmed the composite’s integrity and performance. The tests demonstrated the CNT film’s efficient Joule heating capabilities under various electrical loads, achieving rapid heating to operational temperatures. Additionally, the GFRP/CNT film composite displayed superior mechanical properties and effective de-icing potential, suggesting broader applications in industries needing robust, lightweight, and thermally controllable materials. This advancement significantly enhances the structural and functional capacities of materials used in marine vessels and aerospace.本研究探讨了一种新型嵌入碳纳米管（CNT）薄膜的玻璃纤维增强聚合物（GFRP）复合材料的电热性能，旨在提高船舶和航空航天应用中的防冰和除冰效率。采用浮动催化剂化学气相沉积（FCCVD）方法生产，碳纳米管薄膜集成在玻璃纤维/酚醛树脂层中。评估包括微观结构表征、热分析和力学测试，这些都证实了复合材料的完整性和性能。测试证明了碳纳米管薄膜在各种电负载下的高效焦耳加热能力，实现了快速加热到工作温度。此外，GFRP/CNT薄膜复合材料显示出卓越的机械性能和有效的除冰潜力，这表明在需要坚固、轻量化和热可控材料的行业中有更广泛的应用。这一进步显著提高了用于船舶和航空航天的材料的结构和功能能力。Rapid prediction of mechanical properties during composite curing using artificial neural network and multi-objective genetic algorithmsJiang-Bo Bai, Guang-Yu Bu, Z.Z. Wang, Peng-Cheng Cao, Xue-Qin Li, Shuang-Xi Guo, Tian-Wei Liudoi:10.1016/j.compstruct.2024.118809基于人工神经网络和多目标遗传算法的复合材料固化力学性能快速预测The mechanical properties of prepreg change significantly during the curing process of composite materials. The accurate characterisation of the prepreg’s mechanical properties is the basis for predicting the curing deformation of composite materials. Experiments and empirical formulae are current dominant methods for the performance characterisation of unidirectional tape prepregs. However, in practice, they have limitations towards real-time prediction of prepreg mechanical properties. This study proposes a real-time prepreg mechanical property predicting system using its tip deflection in the autoclave. The system comprises two proposed methods: the Genetic Algorithm − Artificial Neural Network model (GA-ANN) and the Auto-encoder with short-cuts model mechanism (AESC). The AESC can achieve a prediction with a minimum mean relative error of 10.11% in 2.5 s. The GA-ANN method can provide more accurate predictions with a minimum mean relative error of 3.84% in 26 s.在复合材料的固化过程中，预浸料的力学性能发生了显著的变化。准确表征预浸料的力学性能是预测复合材料固化变形的基础。实验和经验公式是目前单向带式预浸料性能表征的主要方法。然而，在实践中，它们在预浸料力学性能的实时预测方面存在局限性。本研究提出了一种利用预浸料在高压灭菌器中的尖端挠度来实时预测预浸料力学性能的系统。该系统包括遗传算法-人工神经网络模型（GA-ANN）和带有捷径模型机制的自编码器（AESC）两种方法。AESC可以在2.5 s内实现最小平均相对误差为10.11%的预测。GA-ANN方法可以提供更准确的预测，在26 s内的最小平均相对误差为3.84%。Composites Part A: Applied Science and ManufacturingPrincipal stress direction-aware streamlined printing path planning for fused filament fabricationGuangwen Yan, Jinting Xu, Tong Xiao, Guangwei Zhang, Xin Jiang, Yuwen Sundoi:10.1016/j.compositesa.2024.108642主应力方向感知的熔融丝制造流线型印刷路径规划Fused filament fabrication (FFF) is a typical anisotropic additive manufacturing technology, planning the printing path by utilizing reasonably this anisotropy can enhance effectively the mechanical properties of the printed parts under external loads. However, the traditional methods that focus solely on geometric factors in printing path planning can hardly consider this anisotropy, failing to laying the printing path along the principal stress directions, resulting in the printed parts being prone to fracture under the given load. To solve this problem and fully enhance the mechanical properties of printed parts, a principal stress direction-aware streamlined printing path planning method is proposed in this paper. It involves deriving the principal stress direction field (PSDF) from finite element analysis, analytically reconstructing the stream function based on the PSDF, and extracting its isoline, i.e., streamline, as the potential printing path. Moreover, a framework of generating streamlines for the printed parts with irregular features is developed through the proposed PSDF interpolation and streamline trimming methods. Once the streamlines are generated, the printing path is planned by employing a customized strategy to effectively control the nozzle jump distances, thereby improving the printing efficiency. Three specimens with different features are fabricated and tested to validate the proposed method. Compared to the traditional contour and zigzag printing paths, the streamlined printing path can yield a mechanical property enhancement of printed parts by 20.9% to 216.3%, even at comparable or lower filling rates. This highlights the potential of the proposed method as a promising candidate for actual industrial applications.熔融长丝制造（FFF）是一种典型的各向异性增材制造技术，合理利用这种各向异性来规划打印路径，可以有效地提高打印件在外载荷作用下的力学性能。然而，传统的打印路径规划方法仅关注几何因素，无法考虑这种各向异性，无法沿主应力方向铺设打印路径，导致打印部件在给定载荷下容易发生断裂。为了解决这一问题，充分提高打印件的力学性能，本文提出了一种主应力方向感知的流线型打印路径规划方法。从有限元分析中导出主应力方向场（PSDF），基于PSDF解析重构流函数，提取其等值线即流线作为潜在的打印路径。此外，通过提出的PSDF插值和流线切边方法，建立了不规则打印零件流线生成框架。流线生成后，通过定制策略规划打印路径，有效控制喷嘴跳跃距离，从而提高打印效率。制作了三个具有不同特征的试件并进行了试验，以验证所提出的方法。与传统的轮廓和之字形印刷路径相比，流线型印刷路径即使在相当或更低的填充率下，也可以使印刷部件的机械性能提高20.9%至216.3%。这突出了所提出的方法作为实际工业应用的有希望的候选方法的潜力。Analysis of the potential of hemp fibres for load bearing composite reinforcement using classical field management techniques and carded routeMarie Grégoire, Mahadev Bar, Xavier Gabrion, Gilles Koolen, Salvatore Musio, Debora Botturi, Giorgio Rondi, Stefano Amaducci, Emmanuel De Luycker, Aart Van Vuure, Vincent Placet, Pierre Ouagnedoi:10.1016/j.compositesa.2024.108658用经典田间管理技术和梳理路线分析大 麻纤维用于承载复合材料加固的潜力An alternative route to the traditional scutching and hackling processes was tested to produce hemp fibres suitable for load bearing composites. A classical approach consisting of a succession of breaking roller and breaking card, was used. The morphology and mechanical properties of the fibres were characterised. The tensile properties after breaking card, extra finishing card and combing were comparable to those obtained from the traditional approach. This similarity may be attributed to the drawing process which serves to homogenise the fibre properties by mitigating the number and severity of structural defects. This, combined with the possibility of using a more flexible approach than scutching and hackling may present an opportunity to increase the European production of technical fibres for load bearing applications. This would satisfy industries seeking large quantities of high potential fibres, a demand that cannot be adequately met by the textile flax resources which are increasingly diverted to the garment industry.一种替代路线的传统刻花和hackling过程进行了测试，以生产大 麻纤维适合承载复合材料。采用了由断辊和断卡连续组成的经典方法。对纤维的形态和力学性能进行了表征。断丝、精梳和精梳后的拉伸性能与传统方法相当。这种相似性可归因于拉伸过程，该过程通过减轻结构缺陷的数量和严重程度来均匀化纤维性能。这一点，再加上使用比切割和加工更灵活的方法的可能性，可能会为增加欧洲用于承重应用的技术纤维的生产提供机会。这将满足寻求大量高潜力纤维的工业，这种需求不能由纺织亚麻资源充分满足，这些资源越来越多地转向服装工业。Semi-transparent, mechanically flexible, water-resistant, and flame-retardant sodium alginate/montmorillonite-based nanocomposite for fire alarm and protectionQu-Hao Feng, Jun Liu, Yan-Bin Shen, Cheng-Fei Cao, Wen-Yu Hu, Teng-Teng Liu, Yu-Ge Fu, Qi-Shi, Jun-Jie Wan, Pei-Yuan Lv, Ye-Jun Wang, Guo-Dong Zhang, Jun Ma, Long-Cheng Tangdoi:10.1016/j.compositesa.2024.108662半透明、机械柔韧、防水、阻燃的海藻酸钠/蒙脱石基纳米复合材料，用于火灾报警和保护Fire warning materials and sensors based on graphene and its derivatives have been developed to mitigate fire risks associated with flammable materials. However, such nanomaterials face challenges, e.g., high cost, poor water resistance, single-use fire alarm response, and a black coloration that restricts their applicability in certain scenarios. Herein, we designed a facile sodium alginate/montmorillonite (SA/MMT)-based hybrid network via introducing hyperbranched polysiloxane (HSi) and calcium ions (Ca2+). The optimized nanocomposite demonstrated semi-transparency, good mechanical flexibility and strength (tensile strength of ∼ 65 MPa), and remarkable water resistance. Additionally, it also exhibited rapid flame alarm response (response time < 1 s), enhanced flame retardancy (retaining structural integrity after 120 s burning), and reliable cyclic fire alarm capabilities. When applied as a fireproof coating on flammable wood substrates, the nanocomposite also provided outstanding fire shielding performance. Therefore, this work provides a novel approach for designing and fabricating environmentally friendly fire alarm and fireproof materials.基于石墨烯及其衍生物的火灾报警材料和传感器已被开发出来，以减轻与易燃材料相关的火灾风险。然而，这种纳米材料面临着一些挑战，例如成本高，耐水性差，一次性火灾报警反应，以及黑色限制了它们在某些情况下的适用性。在此，我们通过引入超支化聚硅氧烷（HSi）和钙离子（Ca2+），设计了一个易于使用的海藻酸钠/蒙脱土（SA/MMT）混合网络。优化后的纳米复合材料具有半透明性、良好的机械柔韧性和强度（抗拉强度为 ~ 65 MPa）以及优异的耐水性。此外，它还表现出快速的火焰报警响应（响应时间 < 1 s），增强的阻燃性（燃烧120 s后保持结构完整性）和可靠的循环火灾报警能力。当作为防火涂料应用于易燃木材基材时，纳米复合材料也提供了出色的防火性能。因此，本工作为设计和制造环保型火灾报警和防火材料提供了一种新的途径。Composites Science and TechnologyEnhancing mechanical properties and flame retardancy of carbon fibre epoxy composites with nano-sized functionalized ammonium polyphosphate particlesWenmu Yang, Jason Tan, Jiawei Wang, Wenkai Chang, Mohammad S. Islam, Zhao Sha, Cheng Wang, Bo Lin, Jin Zhang, Guan Heng Yeoh, Cyrille Boyer, Chun. H. Wangdoi:10.1016/j.compscitech.2024.111005 纳米功能化聚磷酸铵颗粒增强碳纤维环氧复合材料的力学性能和阻燃性能Existing methods of incorporating flame-retardant fillers to improve the fire resistance of epoxy-matrix based carbon fibre composites often significantly reduce their mechanical properties. To address this issue, this study introduces a novel method for synthesizing nano-sized ammonium polyphosphate (APP) particles by reacting them with amine-containing hardener (HF-APP) and applying ultrasonication. This treatment reduces the particle size from 14 μm to 0.12 μm through probe-ultrasonication. A systematic investigation of the impact of particle size and the hardener treatment reveals that the nano-sized HF-APP particles can simultaneously improve flame-retardancy and mechanical properties of the composites. The concurrent improvements in fire resistance and mechanical properties highlight the significant potential of this novel approach, enabling carbon fibre reinforced epoxy composites to withstand extreme environments and meet stringent fire safety standards while maintaining high mechanical and fracture properties, a feat previously unattainable with conventional methods.现有的加入阻燃填料来提高环氧基碳纤维复合材料的耐火性能的方法往往会显著降低其力学性能。为了解决这一问题，本研究介绍了一种通过与含胺硬化剂（HF-APP）反应并应用超声波合成纳米聚磷酸铵（APP）颗粒的新方法。该处理通过探头超声将颗粒尺寸从14 μm减小到0.12 μm。系统研究了颗粒尺寸和硬化剂处理对复合材料的影响，发现纳米级HF-APP颗粒可以同时提高复合材料的阻燃性和力学性能。同时，碳纤维增强环氧复合材料在耐火性能和机械性能方面的改进凸显了这种新方法的巨大潜力，使其能够承受极端环境，满足严格的消防安全标准，同时保持较高的机械和断裂性能，这是以前传统方法无法实现的。来源：复合材料力学仿真Composites FEM