首页/文章/ 详情

【新文速递】2023年11月16日复合材料SCI期刊最新文章

1月前浏览796

今日更新:Composite Structures 1 篇,Composites Part A: Applied Science and Manufacturing 1 篇,Composites Part B: Engineering 1 篇,Composites Science and Technology 1 篇

Composite Structures

Multiscale topology optimization framework for natural frequency maximization of multi-morphology lattice structures

Liu Xiliang, Gao Liang, Xiao Mi

doi:10.1016/j.compstruct.2023.117720

多形态晶格结构固有频率最大化的多尺度拓扑优化框架

This paper proposes a multiscale topology optimization framework for maximizing the natural frequency of multi-morphology lattice structures (MMLSs). The proposed framework addresses the challenges of computational efficiency, design space, numerical convergence, and compatibility between adjacent microstructures in multiscale topology optimization for natural frequency problems. The macrostructural topology, the morphologies categories, distribution regions, volume fractions of different lattice materials (LMs), and the relative densities of lattice unit cells (LUCs) are simultaneously optimized to enhance the structural natural frequency. Specifically, level set functions are utilized to generate prototype LUCs, enabling obtaining graded LUCs by configuration interpolation. Multi-morphology LUCs with smooth characteristics are achieved using the Kriging-assisted morphological post-process and sigmoid function (SF) based hybrid transition strategy. Kriging metamodel-assisted Uniform Multiphase Materials Interpolation (KUMMI) schemes are constructed for the mechanical properties estimation of macro elements to evolute the multiscale topology optimization procedure. Distinct processing methods for elasticity tensor and density are incorporated within the KUMMI schemes, by which the local mode problem is also avoided. The objective order natural frequency is accurately optimized with the modal assurance criterion (MAC) based mode-tracking technique. Numerical examples demonstrate that the developed design framework can efficiently maximize the natural frequency of MMLSs, while also ensuring microstructural connectivity.

提出了一种多尺度拓扑优化框架,使多形态晶格结构的固有频率最大化。提出的框架解决了固有频率问题的多尺度拓扑优化中计算效率、设计空间、数值收敛性和相邻微结构之间兼容性的挑战。同时对不同晶格材料(LMs)的宏观结构拓扑、形态类别、分布区域、体积分数以及晶格单元格(luc)的相对密度进行优化,以提高结构固有频率。具体而言,利用水平集函数生成原型lucc,实现通过配置插值获得分级lucc。采用kriging辅助形态学后处理和基于s型函数(SF)的混合过渡策略,实现了具有光滑特征的多形态LUCs。构造了Kriging元模型辅助的均匀多相材料插值(KUMMI)方法,用于宏观构件的力学性能估计,从而演化出多尺度拓扑优化过程。KUMMI方案中引入了弹性张量和密度的不同处理方法,避免了局部模态问题。采用基于模态保证准则(MAC)的模态跟踪技术对目标阶固有频率进行了精确优化。数值算例表明,所开发的设计框架能够有效地最大化mmls的固有频率,同时保证微结构的连通性。


Composites Part A: Applied Science and Manufacturing

On the cyclic delamination-healing capacity of vitrimer-based composite laminates

Perrin Henri, Vaudemont Régis, Del Frari Doriane, Verge Pierre, Puchot Laura, Bodaghi Masoud

doi:10.1016/j.compositesa.2023.107899

玻璃体基复合材料层合板的循环分层愈合能力研究

This study aims to investigate the self-healing capability of a composite laminate composed of novel bio-based benzoxazine vitrimers when subjected to delamination-healing cycles. The composite laminate is manufactured using compression resin transfer moulding. To quantify the interlaminar shear strength (ILSS) and induced damage, three-point bending tests were conducted on short-beam shear specimens. The healing of interfacial damages was achieved by applying pressure (1 MPa) at 170 °C. Three healing experiments were performed with different thermal cycling durations: 1, 10, and 60 minutes. The extent of interfacial healing was evaluated through four repetitions of delamination-healing cycles. Despite a gradual decrease in ILSS values with each cycle, the specimens subjected to a 60-minute healing process exhibit remarkable recovery. After three cycles, 80 % of the ILSS is restored, highlighting the highly efficient healing capability of the vitrimer-based composite.

本研究旨在研究由新型生物基苯并恶嗪类玻璃体组成的复合层叠板在分层愈合周期下的自修复能力。复合层压板是使用压缩树脂转移模塑制造的。为了量化层间剪切强度(ILSS)和诱导损伤,对短梁剪切试件进行三点弯曲试验。在170℃下施加压力(1mpa),实现了界面损伤的愈合。三种不同热循环时间的愈合实验:1、10和60分钟。通过四次分层愈合循环来评估界面愈合的程度。尽管ILSS值随着每个周期逐渐下降,但经过60分钟愈合过程的标本表现出显着的恢复。三次循环后,80%的ILSS得以修复,凸显了玻璃体基复合材料的高效修复能力。


Composites Part B: Engineering

Novel multi-crack damage approach for pultruded fiber-polymer web-flange junctions

Cintra Gisele G., Vieira Janine D., Cardoso Daniel C.T., Keller Thomas

doi:10.1016/j.compositesb.2023.111102

拉挤纤维-聚合物腹板法兰连接处多裂纹损伤新方法

This paper aims to propose a novel approach to assess the multi-crack behavior of layered fiber-polymer composites. The Compliance and R-curves generated from this novel approach were useful to understand the multiple delamination process, enabling to evaluate separately the strain energy release rate (SERR) related to each crack. A cohesive zone model was developed to simulate the failure process zone of three parallel cracks in web-flange junction (WFJ) specimens extracted from a pultruded bridge deck system subjected to transverse bending. The fracture parameters estimated based on the proposed approach led to a good agreement between the numerical model and the experiments in terms of load vs. displacement curves. Moreover, it was possible to observe that the formation of new cracks may lead to a significant drop on the R-curve, due to the closure of the former cracks.

本文旨在提出一种评估层状纤维-聚合物复合材料多裂纹行为的新方法。该方法生成的柔度曲线和r曲线有助于理解多重分层过程,能够分别评估与每个裂纹相关的应变能释放率(SERR)。建立了一个内聚区模型,模拟了拉挤式桥面系统在横向弯曲作用下腹板-翼缘连接处3条平行裂缝的破坏过程。基于该方法估算的断裂参数在载荷-位移曲线方面与实验结果吻合较好。此外,可以观察到,由于旧裂纹的闭合,新裂纹的形成可能导致r曲线上的显着下降。


Composites Science and Technology

Hybridization of cellulose nanocrystals modified ZnO nanoparticles with bio-based hyperbranched waterborne polyurethane sizing agent for superior UV resistance and interfacial properties of CF/PA6 composites

Dai Shengtao, Yan Fei, Ma Jiajun, Guo Jiaming, Hu Huiru, Liu Yu, Liu Liu, Ao Yuhui

doi:10.1016/j.compscitech.2023.110328

 

纤维素纳米晶改性ZnO纳米粒子与生物基超支化水性聚氨酯施胶剂的杂交,使CF/PA6复合材料具有优异的抗紫外线性能和界面性能

The interface of carbon fiber (CF) reinforced composites has been a long challenging issue that restricts the full utilization of its excellent properties in industrial applications. In present work, a green solvent γ-valerolactone and biogenetic derived gallic acid and tartaric acid were used to prepare a hyperbranched waterborne polyurethane (HWPU) sizing agent. Meanwhile, cellulose nanocrystal modified zinc oxide (CNC–ZnO) nanohybrids were successfully synthesized using a facile one-pot method to improve the dispersibility and specific surface area of ZnO nanoparticles. The hybridization of CNC–ZnO substantially enhanced the thermostability and UV resistance of bio-based HWPU. The mechanical properties of the modified composites were thoroughly examined, revealing remarkable enhancements in flexural strength and interlaminar shear strength, with improvements of 46.5 % and 48.1 % compared to pristine CF. Additionally, the interfacial shear strength test demonstrated a significant increase of 63.6 %. Remarkably, the modified carbon fiber composites retained more than 97 % of their mechanical properties after being subjected to continuous xenon irradiation for a week, highlighting the exceptional ultroviolet resistance derived from the hybrid HWPU sizing agent.

碳纤维增强复合材料的界面问题一直是一个具有挑战性的问题,限制了其优异性能在工业应用中的充分利用。以绿色溶剂γ-戊内酯和生物源性没食子酸、酒石酸为原料,制备了超支化水性聚氨酯(HWPU)施胶剂。同时,采用简易的一锅法制备了纤维素纳米晶修饰氧化锌(CNC-ZnO)纳米杂化物,提高了ZnO纳米粒子的分散性和比表面积。CNC-ZnO的杂化极大地提高了生物基HWPU的热稳定性和抗紫外线能力。对改性复合材料的力学性能进行了全面测试,结果表明,改性复合材料的抗折强度和层间抗剪强度显著提高,与原始CF相比,分别提高了46.5 %和48.1 %,界面抗剪强度测试也显著提高了63.6 %。值得注意的是,在连续氙气照射一周后,改性碳纤维复合材料的机械性能保持了97% %以上,突出了混合HWPU施胶剂的优异抗紫外线性能。


来源:复合材料力学仿真Composites FEM
ACTMechanicalSystem断裂复合材料拓扑优化CONVERGEUG裂纹材料多尺度试验
著作权归作者所有,欢迎分享,未经许可,不得转载
首次发布时间:2024-11-03
最近编辑:1月前
Tansu
签名征集中
获赞 6粉丝 0文章 785课程 0
点赞
收藏
作者推荐

【新文速递】2023年11月18日复合材料SCI期刊最新文章

今日更新:Composite Structures 1 篇,Composites Part A: Applied Science and Manufacturing 1 篇,Composites Part B: Engineering 1 篇,Composites Science and Technology 1 篇Composite StructuresModeling on the effect of automated fiber placement induced gaps in curved composite laminatesChen Qisen, Ye Yaoyao, Qian Shimeng, Xu Qiang, Qu Weiwei, Song Xiaowen, Ke Yinglindoi:10.1016/j.compstruct.2023.117721 曲面复合材料层压板中自动纤维铺放诱导间隙效应的建模Automated placement technology has been widely used due to its excellent processing adaptability for large composite components with complex geometric structures. Whereas, it still poses challenges to study the effect of manufactured gaps induced by automated placement on curved composite parts. This study proposes a new geometric reconstruction approach based on consolidation and sweeping formation to model manufactured gaps. Additionally, a mechanical model incorporating the reconstructed geometry and the cohesive layer method is established to predict the physical behaviors of curved laminates. The micrograph of automated placement-induced gaps with 90° orientation was used to verify the rationality of the geometric reconstruction approach of gaps forming in the preparation process of composite materials. According to predictions of the proposed mechanical model, the effect of −45° oriented gap defects on curved laminates was validated via four-point bending tests that confirmed alignment between predictions and experimental results for peak load, crack propagation, and failure patterns. Experimental results show that due to the differences in spatial local geometric features, orientations of gap defects would reduce the bending strength to different degrees and significantly affect the failure pattern of curved laminates. Furthermore, curved laminates with wider gaps experience a more considerable reduction in load-bearing capacity.自动贴装技术因其出色的加工适应性而被广泛应用于具有复杂几何结构的大型复合材料部件。然而,研究自动贴装技术对曲面复合材料部件产生的加工间隙的影响仍是一项挑战。本研究提出了一种基于固结和扫掠形成的新几何重构方法,以模拟制造间隙。此外,还建立了一个包含重建几何形状和内聚层方法的力学模型,以预测曲面层压板的物理行为。利用自动贴片引起的 90° 方向缝隙的显微照片来验证复合材料制备过程中形成缝隙的几何重构方法的合理性。根据提出的力学模型的预测,通过四点弯曲试验验证了-45°取向间隙缺陷对曲面层压板的影响,证实了峰值载荷、裂纹扩展和破坏模式的预测与实验结果之间的一致性。实验结果表明,由于空间局部几何特征的差异,间隙缺陷的取向会在不同程度上降低弯曲强度,并显著影响曲面层压板的破坏模式。此外,间隙较宽的曲面层压板的承载能力下降幅度更大。Composites Part A: Applied Science and ManufacturingEffect of atomic oxygen exposure on polybenzoxazine/POSS nanocomposites for space applicationsHe Yanjun, Suliga Agnieszka, Brinkmeyer Alex, Schenk Mark, Hamerton Iandoi:10.1016/j.compositesa.2023.107898原子氧暴露对用于太空应用的聚苯并恶嗪/POSS 纳米复合材料的影响A new thermoset resin system, based on a polybenzoxazine blend, has been subjected to high ATOX fluence (2.69 ×1021 atom/cm2), equating to a period of 300 days in low Earth orbit. Several baseline tests were carried out on the resin and the addition of POSS decreased ATOX erosion yield by 69% compared with unmodified resin system. SEM and FTIR results confirm that the protection mechanism involves the formation of a silicon-rich surface layer in response to ATOX exposure, shielding the resin below from further erosion and principal components analysis was used to elucidate the degradation mechanism. Carbon fibre reinforced polymer (CFRP) laminates based on the new resin systems were tested for their mechanical properties. The addition of 6 wt% POSS leads to a 50% increase in the energy required to initiate fracture and 41% increase in the energy required to propagate a crack. Mode II fracture toughness is also improved by the addition of POSS (61.5% increase in energy required to initiate a crack and 35.7% increase in energy required to propagate it).一种基于聚苯并恶嗪混合物的新型热固性树脂系统经受了相当于在低地球轨道上运行 300 天的高 ATOX 通量(2.69 ×1021 原子/平方厘米)的考验。对该树脂进行了多次基线测试,与未改性的树脂系统相比,添加 POSS 后 ATOX 侵蚀率降低了 69%。扫描电子显微镜和傅立叶变换红外光谱结果证实,保护机制包括在暴露于 ATOX 时形成富含硅的表层,从而保护下面的树脂免受进一步侵蚀,并利用主成分分析阐明了降解机制。对基于新树脂体系的碳纤维增强聚合物(CFRP)层压板进行了机械性能测试。添加 6 wt% POSS 后,引发断裂所需的能量增加了 50%,裂纹扩展所需的能量增加了 41%。加入 POSS 后,模态 II 断裂韧性也得到了改善(引发裂纹所需的能量增加了 61.5%,裂纹扩展所需的能量增加了 35.7%)。Composites Part B: EngineeringOptimization of mechanical properties of multiscale hybrid polymer nanocomposites: A combination of experimental and machine learning techniquesChampa-Bujaico Elizabeth, Díez-Pascual Ana M., Lomas Redondo Alba, Garcia-Diaz Pilardoi:10.1016/j.compositesb.2023.111099优化多尺度杂化聚合物纳米复合材料的机械性能:实验与机器学习技术的结合Machine learning (ML) models provide fast and accurate predictions of material properties at a low computational cost. Herein, the mechanical properties of multiscale poly(3-hydroxybutyrate) (P3HB)-based nanocomposites reinforced with different concentrations of multiwalled carbon nanotubes (MWCNTs), WS2 nanosheets and sepiolite (SEP) nanoclay have been predicted. The nanocomposites were prepared via solution casting. SEM images revealed that the three nanofillers were homogenously and randomly dispersed into the matrix. A synergistic reinforcement effect was attained, resulting in an unprecedented stiffness improvement of 132% upon addition of 1:2:2 wt% SEP:MWCNTs:WS2. Conversely, the increments in strength were only moderates (up to 13.4%). A beneficial effect in the matrix ductility was also found due to the presence of both nanofillers. Four ML approaches, Recurrent Neural Network (RNN), RNN with Levenberg's algorithm (RNN-LV), decision tree (DT) and Random Forest (RF), were applied. The correlation coefficient (R2), mean absolute error (MAE) and mean square error (MSE) were used as statistical indicators to compare their performance. The best-performing model for the Young's modulus was RNN-LV with 3 hidden layers and 50 neurons in each layer, while for the tensile strength was the RF model using a combination of 100 estimators and a maximum depth of 100. An RNN model with 3 hidden layers was the most suitable to predict the elongation at break and impact strength, with 90 and 50 neurons in each layer, respectively. The highest correlation (R2 of 1 and 0.9203 for the training and test set, respectively) and the smallest errors (MSE of 0.13 and MAE of 0.31) were obtained for the prediction of the elongation at break. The developed models represent a powerful tool for the optimization of the mechanical properties in multiscale hybrid polymer nanocomposites, saving time and resources in the experimental characterization process.机器学习(ML)模型能以较低的计算成本快速准确地预测材料特性。本文预测了不同浓度的多壁碳纳米管(MWCNTs)、WS2 纳米片和海泡石(SEP)纳米粘土增强的多尺度聚(3-羟基丁酸酯)(P3HB)基纳米复合材料的力学性能。纳米复合材料是通过溶液浇注法制备的。扫描电镜图像显示,三种纳米填料均匀、随机地分散在基体中。在添加 1:2:2 wt% 的 SEP:MWCNTs:WS2 后,增强效果达到了前所未有的 132%。相反,强度仅有适度提高(最多 13.4%)。由于两种纳米填料的存在,基体延展性也得到了改善。应用了四种 ML 方法:循环神经网络 (RNN)、RNN 与莱文伯格算法 (RNN-LV)、决策树 (DT) 和随机森林 (RF)。相关系数(R2)、平均绝对误差(MAE)和平均平方误差(MSE)被用作比较它们性能的统计指标。对于杨氏模量,表现最好的模型是具有 3 个隐藏层、每层有 50 个神经元的 RNN-LV,而对于拉伸强度,则是使用 100 个估计器组合和最大深度为 100 的 RF 模型。具有 3 个隐藏层的 RNN 模型最适合预测断裂伸长率和冲击强度,每层分别有 90 个和 50 个神经元。在预测断裂伸长率时,相关性最高(训练集和测试集的 R2 分别为 1 和 0.9203),误差最小(MSE 为 0.13,MAE 为 0.31)。所开发的模型是优化多尺度杂化聚合物纳米复合材料机械性能的有力工具,节省了实验表征过程中的时间和资源。Composites Science and TechnologyPrediction of mechanical properties of 3D tubular braided composites at different temperatures using a multi-scale modeling framework based on micro-CTZhang Yuyang, Li Huimin, Liu Xin, Chen Yanhong, Qin Chengwei, Fang Dainingdoi:10.1016/j.compscitech.2023.110349 利用基于微计算机断层扫描的多尺度建模框架预测三维管状编织复合材料在不同温度下的力学性能It is of great significance to establish a real three-dimensional (3D) tubular braided composites mechanical properties prediction model at different temperatures. In this paper, a multi-scale modeling framework based on micro-computed tomography (micro-CT) is adopted to consider the characteristics of the real yarn cross section, fiber shape deviation and internal defects within the matrix after composite formation, and a realistic trans-scale finite element model for 3D tubular braided composite is established. The micro-scale and macro-scale mechanical properties of 3D tubular braided composites at different temperatures are sequentially simulated by using the elastic-plastic damage model considering temperature and the tractor-separation constitutive model. Comparison with experiments shows that temperature significantly affects the mechanical properties. With the increase of temperature, the overall failure degree of the 3D tubular braided composite under axial compressive load increases significantly, its axial compressive strength and modulus decrease significantly, and the post-peak response of the stress-strain curve gradually flattens. The proposed trans-scale model demonstrates high predictive accuracy.建立真实的三维(3D)管状编织复合材料在不同温度下的力学性能预测模型具有重要意义。本文采用基于微计算机断层扫描(micro-CT)的多尺度建模框架,考虑了复合材料形成后真实纱线截面、纤维形状偏差和基体内部缺陷等特征,建立了真实的三维管状编织复合材料跨尺度有限元模型。利用考虑温度的弹塑性损伤模型和牵引分离构成模型,依次模拟了三维管状编织复合材料在不同温度下的微观尺度和宏观尺度力学性能。与实验的比较表明,温度对力学性能有显著影响。随着温度的升高,三维管状编织复合材料在轴向压缩载荷作用下的整体破坏程度显著增加,其轴向压缩强度和模量显著降低,应力-应变曲线的峰后响应逐渐趋于平缓。所提出的跨尺度模型具有很高的预测精度。来源:复合材料力学仿真Composites FEM

未登录
还没有评论
课程
培训
服务
行家
VIP会员 学习 福利任务 兑换礼品
下载APP
联系我们
帮助与反馈