Composites Science and Technology最新文献

Egg white-derived nanocomposite microspheres for alveolar bone defects management 用于牙槽骨缺损管理的蛋清纳米复合微球

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2024-11-10 DOI: 10.1016/j.compscitech.2024.110962

Yi Hou , Mengmeng Jin , Dan Sun , Songsong Zhu

In this study, we developed a new class of nanocomposite microspheres comprising of Ca²⁺ crosslinked chicken egg white (EW) and Zn-doped mesoporous silica nanoparticles (Zn–SiO₂), targeting the challenging alveolar defect repair applications. We drew inspiration from the “Chinese century egg” preservation techniques to crosslink the EW protein using Ca²⁺ ions under alkali conditions and this has led to a novel alkali-ionic (ai) cross-linked EW network with enhanced mechanical stability. Molecular dynamic simulation was deployed to elucidate the protein crosslinking mechanisms within the microspheres. Zn-doped mesoporous silica nanoparticles (Zn–SiO₂) were introduced as degradable functional nanofillers. Results show that the unique Zn–SiO₂/ai-EW nanocomposite microspheres have enhanced mechanical strength, desirable degradation profile and biomineralization capabilities. In vitro and in vivo studies show that with the gradual released Ca²⁺ from the EW matrix can promote osteogenic differentiation; Si⁴⁺ and Zn²⁺ can modulate the immune microenvironment and enhanced angiogenesis. The promising results have demonstrated the strong potential of Zn–SiO₂/ai-EW composite microspheres for alveolar bone repair applications.

在这项研究中，我们针对具有挑战性的肺泡缺损修复应用，开发了一种由 Ca2+ 交联鸡蛋白（EW）和掺锌介孔二氧化硅纳米颗粒（Zn-SiO2）组成的新型纳米复合微球。我们从 "中华世纪坛蛋 "的保存技术中汲取灵感，利用 Ca2+ 离子在碱性条件下交联 EW 蛋白，从而形成了一种新型的碱-离子（ai）交联 EW 网络，并增强了其机械稳定性。分子动力学模拟用于阐明微球内的蛋白质交联机制。此外，还引入了掺锌介孔二氧化硅纳米粒子（Zn-SiO2）作为可降解的功能性纳米填料。结果表明，独特的 Zn-SiO2/ai-EW 纳米复合微球具有更高的机械强度、理想的降解特性和生物矿化能力。体外和体内研究表明，随着 EW 基质中 Ca2+ 的逐渐释放，可促进成骨分化；Si4+ 和 Zn2+ 可调节免疫微环境并增强血管生成。这些可喜的结果证明了 Zn-SiO2/ai-EW 复合微球在牙槽骨修复方面的巨大应用潜力。

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引用次数: 0

Anti-interference flexible temperature-sensitive/strain-sensing aerogel fiber for cooperative monitoring of human body temperature and movement information 用于协同监测人体温度和运动信息的抗干扰柔性温敏/应变传感气凝胶纤维

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2024-11-09 DOI: 10.1016/j.compscitech.2024.110955

Jiayi Fu , Jian Tang , Shidong Ma , Zhijuan Pan , Ruoxin Li , Yuting Wu , Tao Yan

In recent years, multi-functional flexible sensing fibers capable of detecting various physical and chemical stimuli capabilities have made significant advancements. However, the cross-sensitivity of the sensing materials to other stimuli can considerably reduce their sensitivity and accuracy of these multifunctional fibers. In this study, we initially fabricated a blending type (BAF) and a core-sheath type (CAF) strain-sensing aerogel fiber using an optimized one-step wet spinning process. Then, we coated the aerogel fiber with cholesteric liquid crystal as the middle layer and waterborne polyurethane as the outer layer to obtain a temperature-sensitive/strain-sensing aerogel fiber (TSAF). TSAF demonstrates distinct multi-model strain sensing performance, enabling the detection of tensile strains (0.1–111.5 %), bending strains (40°–160°), and compression strains. Moreover, within the ultra-narrow temperature range of 34 °C–38 °C, TSAF undergoes reversible color transformations from yellow-green-blue-purple, against both bright and dark backgrounds. This unique feature offered high sensitivity, rapid response time, and diverse color variations. By integrating fibers into clothing, a collaborative sensing system can be established to simultaneously monitor human physiology and movement information. These advancements hold significant potential for applications in smart clothing, medical care, and other fields.

近年来，能够检测各种物理和化学刺激的多功能柔性传感纤维取得了重大进展。然而，传感材料对其他刺激的交叉敏感性会大大降低这些多功能纤维的灵敏度和准确性。在本研究中，我们采用优化的一步湿法纺丝工艺，初步制备了一种混合型（BAF）和一种芯鞘型（CAF）应变传感气凝胶纤维。然后，我们在气凝胶纤维的中间层涂覆了胆甾液晶，在外层涂覆了水性聚氨酯，从而获得了温敏/应变传感气凝胶纤维（TSAF）。TSAF 具有独特的多模式应变传感性能，可检测拉伸应变（0.1-111.5 %）、弯曲应变（40°-160°）和压缩应变。此外，在 34 ℃-38 ℃ 的超窄温度范围内，TSAF 可在明亮和昏暗的背景下发生黄绿-蓝紫色的可逆颜色转换。这一独特功能具有灵敏度高、响应速度快和色彩变化多样等特点。通过将纤维集成到服装中，可以建立一个协同传感系统，同时监测人体生理和运动信息。这些进步为智能服装、医疗保健和其他领域的应用带来了巨大潜力。

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引用次数: 0

Dual covalent bond induced high thermally conductive polyimide composite films based on CNT@CN complex filler 基于 CNT@CN 复合填料的双共价键诱导型高导热聚酰亚胺复合薄膜

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2024-11-09 DOI: 10.1016/j.compscitech.2024.110963

Fan Wang , Xiaodi Dong , Guangyi Liu , Jing-Hui Gao , Xu Wang , Jun-Wei Zha

Polyimide (PI) possesses excellent high-temperature resistance, insulation properties, and mechanical properties, making it widely used as a flexible printed circuit board substrate and high-temperature electrical insulation material. However, the irregular arrangement of PI molecules results in a relatively low thermal conductivity. This work utilizes the active groups on the surface of carboxylated multi-walled carbon nanotubes (MWCNTs) and carbon nitride nanosheets (CNNS) to obtain CNTs@CN complex fillers containing covalent bonds. The thermal conductivity of CNTs@CN/PI with double covalent bonds can be up to 6.63 W m⁻¹ K⁻¹. The covalent bonds between fillers and fillers as well as between fillers and the matrix provide efficient and continuous pathways for phonon transmission. Additionally, finite element analysis further reveals the heat transfer mechanism of the CNTs@CN/PI composite film. Therefore, this will provide a feasible solution to enhance the thermal conductivity of PI, making it more promising for applications in electronic devices.

聚酰亚胺（PI）具有优异的耐高温性能、绝缘性能和机械性能，因此被广泛用作柔性印刷电路板基材和高温电气绝缘材料。然而，PI 分子的不规则排列导致其热导率相对较低。本研究利用羧化多壁碳纳米管（MWCNTs）和氮化碳纳米片（CNNS）表面的活性基团，获得了含有共价键的 CNTs@CN 复合填料。具有双共价键的 CNTs@CN/PI 的导热系数可达 6.63 W m-1 K-1。填料与填料之间以及填料与基体之间的共价键为声子传输提供了高效、连续的途径。此外，有限元分析进一步揭示了 CNTs@CN/PI 复合薄膜的传热机制。因此，这将为增强 PI 的导热性提供一个可行的解决方案，使其在电子设备中的应用前景更加广阔。

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引用次数: 0

Effects of the inclusion shape, arrangement, and volume fraction on effective elastic moduli of two-dimensional two-phase composites 包合物形状、排列和体积分数对二维两相复合材料有效弹性模量的影响

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2024-11-06 DOI: 10.1016/j.compscitech.2024.110953

Xuqian Liu , Hui Li , Shaobo Sun

The spatial arrangement and shape of inclusions can have a major impact on two-phase composites' mechanical properties. Few studies consider the coupling effects of these two factors on the effective elastic moduli of two-phase composites. This study introduces the circularity of inclusions to modify the three-point approximation (TPA) for quantitatively predicting the coupling effects of inclusion planar arrangement and shape. Two-dimensional particle packing structures of monosized particles are generated with polygons, superellipses, and superovals of different circularities and volume fractions via the ordered arrangement approach or the discrete element method. Then, the lattice model is conducted on the particle packing structures to verify the reliability of the modified TPA. The comparison between the theoretical calculation and the numerical simulation indicates that our modified TPA can predict the effects of planar arrangement, shape, and volume fraction of inclusions on the effective moduli. The proposed modified TPA offers fresh perspectives on comprehending intricate relationships between the macro-property and composition of composites.

夹杂物的空间排列和形状会对两相复合材料的机械性能产生重大影响。很少有研究考虑这两个因素对两相复合材料有效弹性模量的耦合效应。本研究引入了夹杂物的圆度来修正三点近似（TPA），以定量预测夹杂物平面布置和形状的耦合效应。通过有序排列法或离散元法，用不同圆度和体积分数的多边形、超椭球形和超椭球形生成单尺寸颗粒的二维颗粒堆积结构。然后，对颗粒堆积结构进行晶格模型计算，以验证修正 TPA 的可靠性。理论计算与数值模拟的比较表明，我们的改进型 TPA 可以预测夹杂物的平面布置、形状和体积分数对有效模量的影响。所提出的改进型 TPA 为理解复合材料宏观性能与成分之间的复杂关系提供了新的视角。

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引用次数: 0

Concurrent optimization of continuous carbon fiber-reinforced composites with multi-scale components considering the manufacturing constraint 考虑制造约束条件的多尺度连续碳纤维增强复合材料的并行优化

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2024-11-06 DOI: 10.1016/j.compscitech.2024.110942

Bing Sun , Yue Xing , Pengyu Lv , Jin Zhou , Chunqi Liu , Huiling Duan , Xiubing Liang

This paper proposed a multi-scale components topology optimization method and a continuous printing paths planning strategy to satisfy the manufacturing constraint of continuous carbon fiber-reinforced composites. The optimal design was performed with a cantilever beam to demonstrate the effectiveness of the proposed method. The optimization result obtained by the proposed optimization method showed that the fiber orientation was consistent within each component, facilitating the subsequent manufacturing process. For comparative analysis, the optimal structures were also obtained by density-based topology optimization methods with traditional printing path strategies. The results of the comparison experiment showed that, compared with the specimens optimized by the solid orthotropic material with penalization (SOMP) method with off-set paths and the solid isotropic material with penalization (SIMP) method with zig-zag paths, the stiffness of the optimal specimens obtained by proposed multi-scale components optimization method with continuous printing paths was increased by 26.39% and 64.67%, respectively, and the peak load was increased by 50.45% and 37.53%, respectively. In addition, the proposed continuous printing paths planning strategy significantly reduced the defects during the manufacturing process to enhance the mechanical properties of the fabricated structures.

本文提出了一种多尺度构件拓扑优化方法和连续印刷路径规划策略，以满足连续碳纤维增强复合材料的制造约束。通过悬臂梁进行优化设计，证明了所提方法的有效性。所提出的优化方法得到的优化结果表明，每个组件内的纤维取向一致，有利于后续制造过程。为了进行对比分析，还采用了基于密度的拓扑优化方法和传统的印刷路径策略来获得最佳结构。对比实验结果表明，与采用偏移路径的各向同性固体材料优化法（SOMP）和采用之字形路径的各向同性固体材料优化法（SIMP）优化的试样相比，采用连续印刷路径的多尺度构件优化法优化的试样刚度分别提高了 26.39% 和 64.67%，峰值载荷分别提高了 50.45% 和 37.53%。此外，所提出的连续印刷路径规划策略大大减少了制造过程中的缺陷，从而提高了制造结构的力学性能。

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引用次数: 0

Symmetric sandwich–like rubber composites for “green” electromagnetic interference shielding and thermal insulation 用于 "绿色 "电磁干扰屏蔽和隔热的对称三明治夹芯橡胶复合材料

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2024-11-06 DOI: 10.1016/j.compscitech.2024.110960

Zijian Wei , Yu Cheng , Yanran Sun , Yanhu Zhan , Yanyan Meng , Yuchao Li , Hesheng Xia , Xiancai Jiang

Electromagnetic interference (EMI) shielding rubber composites with thermally insulating properties are necessary for some specific sealing fields, but their fabrication is challenging because it is difficult to realize a balance between high electrical conductivity and low thermal conductivity. Herein, symmetric sandwich–like rubber composites composed of an unfoamed core sandwiched by two foamed layers were prepared using a layer-by-layer vulcanization procedure. Importantly, a segregated Fe₃O₄@carbon nanotube (Fe₃O₄@CNT) network was constructed within the entire composite. This structure improved the shielding effectiveness (SE) and decreased the thermal conductivity of Fe₃O₄@CNT/rubber composites. When the density of the foamed layers was 0.60 g/cm³, the thermal conductivity, electrical conductivity, and SE of the resultant composites were 0.14 W/m K, 21.5 S/m, and 40.7 dB, respectively, and their green index (g_s) was 2.13, implying that the prepared materials were “green” EMI-shielding composites. This study provides directions on fabricating EMI shielding materials with thermally insulating performance.

某些特定密封领域需要具有热绝缘性能的电磁干扰（EMI）屏蔽橡胶复合材料，但由于很难在高导电率和低导热率之间实现平衡，因此其制造具有挑战性。在此，我们采用逐层硫化法制备了对称的三明治状橡胶复合材料，该复合材料由一个未发泡芯材和两个发泡层组成。重要的是，在整个复合材料中构建了分离的 Fe3O4@碳纳米管（Fe3O4@CNT）网络。这种结构提高了屏蔽效果（SE），降低了 Fe3O4@CNT/ 橡胶复合材料的热导率。当发泡层的密度为 0.60 g/cm3 时，所得复合材料的热导率、电导率和 SE 分别为 0.14 W/mK、21.5 S/m 和 40.7 dB，绿色指数（gs）为 2.13，这意味着所制备的材料是 "绿色 "电磁干扰屏蔽复合材料。这项研究为制造具有热绝缘性能的 EMI 屏蔽材料指明了方向。

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引用次数: 0

A novel Taguchi-based approach for optimizing neural network architectures: Application to elastic short fiber composites 基于田口的优化神经网络架构新方法：应用于弹性短纤维复合材料

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2024-11-05 DOI: 10.1016/j.compscitech.2024.110951

Mohammad Hossein Nikzad , Mohammad Heidari-Rarani , Mohsen Mirkhalaf

This study presents an innovative application of the Taguchi design of experiment method to optimize the structure of an Artificial Neural Network (ANN) model for the prediction of elastic properties of short fiber reinforced composites. The main goal is to minimize the computational effort required for hyperparameter optimization while enhancing the prediction accuracy. By utilizing a robust experimental design framework, the structure of an ANN model is optimized. This approach involves identifying a combination of hyperparameters that provides optimal predictive accuracy with the fewest algorithmic runs, thereby significantly reducing the required computational effort. The results suggested that the Taguchi-based developed ANN model with three hidden layers, 20 neurons in each hidden layer, elu activation function, Adam optimizer, and a learning rate of 0.001 can predict the anisotropic elastic properties of short fiber reinforced composites with a prediction accuracy of 97.71 %. Then, external validation of the proposed ANN model was done using experimental data, and differences of less than 10 % were obtained, indicating an appropriate predictive performance of the proposed ANN algorithm. Our findings demonstrate that the Taguchi method not only streamlines the hyperparameter tuning process but also substantially improves the algorithm's performance. These results highlight the potential of the Taguchi method as a powerful tool for optimizing machine learning algorithms, especially in scenarios where computational resources are limited. The implications of this study are far-reaching, offering insights for future research in the optimization of different algorithms for improved accuracies and computational efficiencies.

本研究创新性地应用了田口试验设计法来优化人工神经网络（ANN）模型的结构，以预测短纤维增强复合材料的弹性特性。主要目标是在提高预测精度的同时，最大限度地减少超参数优化所需的计算量。通过利用稳健的实验设计框架，可以优化 ANN 模型的结构。这种方法包括确定超参数组合，以最少的算法运行次数获得最佳预测精度，从而大大减少所需的计算工作量。结果表明，基于田口方法开发的具有三个隐层、每个隐层 20 个神经元、elu 激活函数、Adam 优化器和 0.001 学习率的方差分析网络模型可以预测短纤维增强复合材料的各向异性弹性特性，预测准确率达 97.71%。然后，利用实验数据对所提出的方差网络模型进行了外部验证，得到的差异小于 10%，表明所提出的方差网络算法具有适当的预测性能。我们的研究结果表明，田口方法不仅简化了超参数调整过程，还大大提高了算法的性能。这些结果凸显了田口方法作为优化机器学习算法的强大工具的潜力，尤其是在计算资源有限的情况下。这项研究意义深远，为今后优化不同算法以提高精确度和计算效率的研究提供了启示。

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引用次数: 0

Internal shear damage evolution of CFRP laminates ranging from −100 °C to 100 °C using in-situ X-ray computed tomography 利用原位 X 射线计算机断层扫描分析 -100 ℃ 至 100 ℃ CFRP 层压板的内部剪切损伤演变情况

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2024-11-05 DOI: 10.1016/j.compscitech.2024.110959

Yingxue Bai, Zeang Zhao, Shengyu Duan, Panding Wang, Yuanchen Li, Hongshuai Lei

Carbon Fiber Reinforced Polymer (CFRP) composites have been widely used in aerospace due to their high specific stiffness, strength, and fatigue properties. However, the ambient temperature significantly influences CFRP's mechanical properties and damage evolution, deriving from the temperature effect on the microstructural behavior and the mesoscopic damage evolution. In this study, the temperature-dependent in-plane shear failure behavior of CFRP composites was investigated. In-situ X-ray Computed tomography (CT) tensile experiments of laminates ([45°/-45°]_2s) at RT, −100 °C, and 100 °C were carried out to study the in-plane shear failure mechanisms. The 3D fracture morphology was extracted with internal damage evolution process estimated and quantified. The in-situ 3D deformation fields of critical regions were acquired using the Digital Volume Correlation (DVC) method. The effect of temperature on strain field and the correlation between the high-strain region and the fracture location were analyzed. The results revealed the temperature correlations and failure mechanisms of CFRP's mechanical characteristics and internal damage evolution process. Compared to room temperature (RT), the delamination damage area of the sample increased by 80 % at 100 °C. Meanwhile, the shear modulus of CFRP decreases by 78.4 % from −100 °C to 100 °C, and the fracture strain increases by 95 % from RT to 100 °C. The DVC results indicated a dispersion of high-strain regions at −100 °C, reflecting the brittle damage characteristics, while an extensive ductile deformation region was captured at 100 °C. Fiber-matrix debonding is the dominant failure mode of composites under shear loading, whereas significant matrix cracking was observed at −100 °C and partial fiber pullout occurred at 100 °C.

碳纤维增强聚合物（CFRP）复合材料具有很高的比刚度、强度和疲劳性能，因此被广泛应用于航空航天领域。然而，环境温度对 CFRP 的机械性能和损伤演化有很大影响，这源于温度对微观结构行为和中观损伤演化的影响。本研究调查了 CFRP 复合材料随温度变化的面内剪切破坏行为。为了研究面内剪切破坏机理，研究人员对层压板（[45°/-45°]2s）在 RT、-100 ℃ 和 100 ℃ 下进行了原位 X 射线计算机断层扫描（CT）拉伸实验。提取了三维断裂形态，并对内部损伤演变过程进行了估计和量化。使用数字体积相关（DVC）方法获取了临界区域的原位三维变形场。分析了温度对应变场的影响以及高应变区域与断裂位置之间的相关性。结果揭示了 CFRP 机械特性和内部损伤演变过程的温度相关性和破坏机制。与室温（RT）相比，100 °C时样品的分层损伤面积增加了80%。同时，从-100 °C到100 °C，CFRP的剪切模量降低了78.4%，断裂应变从室温到100 °C增加了95%。DVC 结果表明，在-100 °C时，高应变区域分散，反映了脆性破坏特征，而在100 °C时，则捕捉到了广泛的韧性变形区域。纤维-基体脱粘是复合材料在剪切加载下的主要破坏模式，而在-100 °C时观察到明显的基体开裂，100 °C时出现部分纤维拉断。

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引用次数: 0

Expanded graphite encapsulation of nitrates for enhanced thermal transport: Mechanism insight and component screening 膨胀石墨封装硝酸盐以增强热传输：机理洞察与成分筛选

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2024-11-05 DOI: 10.1016/j.compscitech.2024.110957

Kening Yan , Lin Qiu , Haimo Li, Ning Cao, Yanhui Feng

The efficient improvement of the heat transfer capability of high-temperature molten salts and the accurate measurement within the operating temperature range is vital for improving the efficiency of concentrating solar power devices. Through theoretical investigation, this paper explores different thermal properties including thermal conductivity, phase transition properties and interfacial interactions using a range of expanded graphite/nitrates (EG/nitrates). Molecular dynamics simulations reveal that the EG/eutectic salt (ES) exhibits optimal comprehensive properties. Experimentally prepared EG/ES composite phase change materials (PCMs), coupled with theoretical predictions, demonstrate exceptional thermal conductivity (2.2 W m⁻¹ K⁻¹) and a significant latent heat of phase change (>80 J g⁻¹). The calculation results of the interaction energy between the host-guest indicate that the strong interaction of the EG to ES restricts the molecule movement, leading to a weak temperature dependence of the thermal conductivity of the EG/ES composite PCM. This contrasts with the conventional understanding of PCM thermal conductivity, which typically exhibits a sharp change during the phase transition from solid state to liquid state. Additionally, the thermal response of 15 wt% EG/ES is increased by 27.2 % compared to pure ES, which effectively helps alleviate local overheating in practical applications. The progress made so far sheds light on the mechanism behind the improved heat transfer and storage performance of nitrate from a microscopic view, offering valuable theoretical insight for developing high-efficient nitrate PCMs in solar thermal power generation systems.

有效提高高温熔盐的传热能力并在工作温度范围内进行精确测量，对于提高聚光太阳能发电设备的效率至关重要。通过理论研究，本文利用一系列膨胀石墨/硝酸盐（EG/硝酸盐）探索了不同的热特性，包括热导率、相变特性和界面相互作用。分子动力学模拟显示，EG/共晶盐（ES）具有最佳的综合性能。实验制备的 EG/ES 复合相变材料（PCM）与理论预测相结合，显示出卓越的热导率（2.2 W m-1 K-1）和显著的相变潜热（80 J g-1）。主客体之间相互作用能的计算结果表明，EG 与 ES 之间的强相互作用限制了分子的运动，从而导致 EG/ES 复合 PCM 的热导率与温度关系不大。这与人们对 PCM 热导率的传统理解形成了鲜明对比，后者通常在从固态到液态的相变过程中表现出急剧变化。此外，与纯 ES 相比，15 wt% EG/ES 的热响应提高了 27.2%，这有助于有效缓解实际应用中的局部过热问题。目前取得的进展从微观角度揭示了硝酸盐改善传热和储热性能背后的机理，为在太阳能热发电系统中开发高效硝酸盐 PCM 提供了宝贵的理论依据。

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引用次数: 0

The critical role of size effect on internal damage and mechanical properties of flax fiber reinforced composites 尺寸效应对亚麻纤维增强复合材料内部损伤和机械性能的关键作用

IF 8.3 1区材料科学 Q1 MATERIALS SCIENCE, COMPOSITES

Composites Science and Technology

Pub Date : 2024-11-05 DOI: 10.1016/j.compscitech.2024.110958

Lulu Lei , Yiqiao Zhao , Zefei Cheng , Jieyu Chen , Sixian Yang , Tao Yu , Jinhong Fan , Yan Li , Jianzhuang Xiao

The effect of the size on the strength of laminated artificial fiber reinforced composites has been extensive discussed during the design of large composites structure. With the trial as the structures in aerospace, civil engineering, automobile industry, the scaling of the properties of plant fiber reinforced composite should be studied. In this paper, the size effect and failure mechanism of tensile and impact properties of flax fiber reinforced composites were valuated. The effects of different area, thickness and volume on the tensile properties of composites were explored. Additionally, the failure mechanism of size effect on tensile specimens was proposed through the damage morphologies of composites. It is found that the twist of fiber bundle plays an important role in the size effect of composite thickness. Besides, the relationship between impact properties and size effect of composites was conducted, including the size of hammer, different impact energy and sample size. The curves of different types of impact samples were normalized to verify the linear rule in response stage. The crack length after impact was measured and the size effect of crack length was discussed. The size effect of crack area was studied by calculating the crack area with ultrasonic C-scan. Different “size effects” between flax fibers and artificial fibers were explored. The results are expected to provide a theoretical basis for the structural design of plant fiber reinforced composites.

在大型复合材料结构设计过程中，尺寸对层状人工纤维增强复合材料强度的影响已被广泛讨论。随着航空航天、土木工程、汽车工业等领域结构的试制，植物纤维增强复合材料的性能缩放问题亟待研究。本文对亚麻纤维增强复合材料拉伸和冲击性能的尺寸效应和失效机理进行了评估。探讨了不同面积、厚度和体积对复合材料拉伸性能的影响。此外，还通过复合材料的损伤形态，提出了尺寸效应对拉伸试样的破坏机理。研究发现，纤维束的捻度在复合材料厚度的尺寸效应中起着重要作用。此外，还研究了复合材料冲击性能与尺寸效应之间的关系，包括冲击锤尺寸、不同冲击能量和试样尺寸。对不同类型冲击样品的曲线进行归一化处理，以验证响应阶段的线性规律。测量了冲击后的裂纹长度，并讨论了裂纹长度的尺寸效应。通过超声波 C 扫描计算裂纹面积，研究了裂纹面积的尺寸效应。探讨了亚麻纤维和人造纤维的不同 "尺寸效应"。研究结果有望为植物纤维增强复合材料的结构设计提供理论依据。

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引用次数: 0