今日更新:Composite Structures 1 篇,Composites Part A: Applied Science and Manufacturing 4 篇,Composites Part B: Engineering 2 篇
NURBS-based isogeometric analysis for layerwise local behavior of nano-laminated plates based on refined zigzag and nonlocal strain gradient theories
Huy Q. Le, Samir Khatir, Thanh-Cuong Le
doi:10.1016/j.compstruct.2024.118766
基于精细之字形和非局部应变梯度理论的纳米层合板分层局部行为等几何分析
In this work, a newly numerical approach for the global and local analysis of laminated composite plates, incorporating size-dependent effects through refined zigzag kinematics and nonlocal strain gradient theory, is developed. By applying the principle of virtual displacement, we derive a weak form of the equilibrium equations based on the nonlocal strain gradient theory, resulting in a local continuum model. This model inherently accounts for deviations in stiffness due to material inhomogeneity and interatomic forces, particularly at small scales. The refined zigzag theory is used to model the displacement field of the plates, which is numerically approximated using the NURBS-based isogeometric analysis technique. This approach allows us to account for the size-dependent characteristics of the laminate at micro/nanoscale through higher-order nonlocal parameters and nonlocal gradient length coefficients. We validate the proposed model for static and free vibration analyses by comparing our numerical results with those reported in the literature. As an original contribution, this research extensively explores the size-dependent effects on the layerwise local responses of laminated composite plates under static loading conditions with various stacking sequences and thickness ratios being investigated.
在这项工作中,一种新的数值方法用于层合复合材料板的整体和局部分析,结合尺寸依赖效应,通过精细之字形运动学和非局部应变梯度理论,发展。利用虚位移原理,基于非局部应变梯度理论导出了平衡方程的弱形式,得到了局部连续体模型。这个模型固有地解释了由于材料的不均匀性和原子间作用力而引起的刚度偏差,特别是在小尺度下。采用精细之字形理论对板的位移场进行了建模,并采用基于nurbs的等几何分析技术对其进行了数值逼近。这种方法允许我们通过高阶非局部参数和非局部梯度长度系数来解释层压材料在微/纳米尺度上的尺寸依赖特性。我们通过将我们的数值结果与文献中报道的结果进行比较,验证了所提出的静态和自由振动分析模型。作为一项原创贡献,本研究广泛探讨了在静载荷条件下,不同堆叠顺序和厚度比对层合复合材料板层向局部响应的尺寸依赖性影响。
Integrated convolutional and graph neural networks for predicting mechanical fields in composite microstructures
Marwa Yacouti, Maryam Shakiba
doi:10.1016/j.compositesa.2024.108618
基于卷积和图神经网络的复合材料微结构力学场预测
This paper introduces CompINet, a novel approach that leverages graph and convolutional neural networks to predict mechanical fields within microstructural representations of composites. Analyzing local mechanical fields, such as stress in composites, is crucial for predicting performance and failure, and planning repair strategies. The critical role of the fiber’s nearest neighbor distances in shaping linear and nonlinear stress responses within the composite’s microstructure motivates our approach. CompINet exploits the power of graph neural networks to capture the microscale intricacies of composites, particularly the locations of the fibers and the distances between them. The proposed framework demonstrates remarkable accuracy and consistency in predicting microscale mechanical fields, requiring 20 times less data than existing data-driven methods. CompINet offers significant improvements in both linear and nonlinear composite analyses.
本文介绍了CompINet,这是一种利用图和卷积神经网络来预测复合材料微观结构表征中的力学场的新方法。分析局部力学场,如复合材料中的应力,对于预测性能和故障以及规划修复策略至关重要。纤维的最近邻距离在复合材料微观结构中形成线性和非线性应力响应的关键作用激发了我们的研究方法。CompINet利用图形神经网络的力量来捕捉复合材料的微观复杂性,特别是纤维的位置和它们之间的距离。该框架在预测微尺度力学场方面具有显著的准确性和一致性,所需数据比现有数据驱动方法少20倍。CompINet在线性和非线性复合分析方面都有显著的改进。
Vat photopolymerization (VP) of solvent-free carbon Nanoparticle-Acrylic nanocomposites
Poom Narongdej, Nicolas Alterman, Manuel Vazquez, Mehran Tehrani, Ehsan Barjasteh
doi:10.1016/j.compositesa.2024.108628
无溶剂纳米碳-丙烯酸纳米复合材料的还原光聚合(VP)
Digital light processing (DLP) based vat photopolymerization (VP) additive manufacturing (AM)offers high resolution and rapid printing capabilities, making it particularly well-suited for producing intricate geometries. However, the applications of DLP are limited by material options available, particularly due to their low mechanical properties. This study addresses this challenge by introducing a novel solvent-free method to incorporate various carbon-based nanoparticles into DLP resins. This approach ensures printability by maintaining nanoparticle stability in the solution while enhancing overall material properties. Ten acrylic monomers were carefully selected based on their Hansen solubility parameters to effectively disperse and stabilize the studied nanoparticles (graphite nanoparticles, GNPs, and edge oxidized graphene oxide, EOGOs). It was found that Tricyclodecane Dimenthanol Diacrylate (G1231) possessed similar interfacial energies with the nano-fillers, which prevented agglomeration within the matrix. This led to the creation of homogeneous nano-filled resins, which demonstrated stability for the seven-day observation period, suggesting potential stability beyond this timeframe. Additionally, this study explored the relationship between layer exposure time, nanoparticle concentration, and size on printability, as well as key characteristics such as viscosity, depth of cure, and mechanical properties. The optimal combination of parameters led to considerable improvements in mechanical properties, with the modulus of elasticity and tensile strength increasing by 18% and 17% respectively for nano-filled resins up to 0.07 wt%, with cure times up to 90 s. The solvent free method of incorporating carbon-based nanomaterials in resins is simple and efficient. It also demonstrates great potential for broader material selection and property enhancement in DLP resins, thereby paving the way for expanded applications across various fields.
基于数字光处理(DLP)的还原光聚合(VP)增材制造(AM)提供高分辨率和快速打印能力,使其特别适合生产复杂的几何形状。然而,DLP的应用受到可用材料选择的限制,特别是由于其低机械性能。本研究通过引入一种新的无溶剂方法将各种碳基纳米颗粒掺入DLP树脂来解决这一挑战。这种方法通过在溶液中保持纳米颗粒的稳定性来确保可印刷性,同时提高整体材料性能。根据其汉森溶解度参数精心选择了10种丙烯酸单体,以有效分散和稳定所研究的纳米颗粒(石墨纳米颗粒,GNPs和边缘氧化氧化石墨烯,EOGOs)。研究发现,三环癸烷二丙烯酸酯(G1231)与纳米填料具有相似的界面能,从而阻止了基体内部的团聚。这导致了均匀的纳米填充树脂的产生,在7天的观察期内表现出稳定性,这表明在这个时间框架之外的潜在稳定性。此外,本研究还探讨了层曝光时间、纳米颗粒浓度和尺寸与打印性能之间的关系,以及粘度、固化深度和机械性能等关键特性。参数的优化组合显著改善了材料的力学性能,纳米填充树脂的弹性模量和抗拉强度分别提高了18%和17%,达到0.07 wt%,固化时间达到90 s。在树脂中加入碳基纳米材料的无溶剂方法简单有效。它还显示了DLP树脂在更广泛的材料选择和性能增强方面的巨大潜力,从而为在各个领域的扩展应用铺平了道路。
Fiber dispersion control and its advantages on nonlinear mechanical properties in cellulose composites
Masaki Fujishita, Chao Luo, Kenji Aoki, Yasutomo Uetsuji
doi:10.1016/j.compositesa.2024.108639
纤维分散控制及其对纤维素复合材料非线性力学性能的影响
This study delved into the significant effects of fiber dispersion and aggregation on the nonlinear mechanical properties of cellulose nanofibers (CNF) reinforced polypropylene (PP) composites, aiming to advance fiber dispersion control and elucidate specific advantages to mechanical properties. In contrast to the conventional method of preparing composite materials using powdered CNF and solid anhydrous maleic anhydride PP (MAPP), we proposed an innovative method that used water-dispersed CNF and water-dispersible MAPP to enhance fiber dispersion. Morphological analysis of fiber aggregation was conducted using high-resolution X-ray computed tomography (CT), complemented by mechanical testing through tensile strength evaluations. The results demonstrated that the proposed preparation method enhanced both fiber dispersion and mechanical properties. Applying multiscale simulations based on homogenization theory, we developed a two-step homogenization process for fiber agglomeration modeling, which incorporated fiber dispersion measurements from X-ray CT. Numerical analysis accurately replicated the phenomena observed in experiments, confirming the validity of the modeling approach and elucidating the integrity of the developed cellulose composite materials. Additionally, by introducing parameters: aggregation domain (k) and aggregation density (x), we quantified the impact of fiber agglomeration on the nonlinear mechanical properties of the composites and provided design guidelines for fiber dispersion control. This study not only proposed a method for creating cellulose composite materials with excellent fiber dispersion but also provided a systematic multiscale numerical analysis method based on experimental measurements to evaluate mechanical properties considering fiber agglomeration.
本研究探讨了纤维素纳米纤维(CNF)增强聚丙烯(PP)复合材料的纤维分散和聚集对其非线性力学性能的显著影响,旨在推进纤维分散控制,阐明其对力学性能的具体优势。与传统的粉末状CNF和固体无水马来酸酐PP (MAPP)制备复合材料的方法不同,我们提出了一种利用水分散CNF和水分散MAPP来增强纤维分散性的创新方法。使用高分辨率x射线计算机断层扫描(CT)对纤维聚集进行形态学分析,并通过拉伸强度评估进行力学测试。结果表明,该制备方法提高了纤维的分散性和力学性能。基于均匀化理论的多尺度模拟,我们开发了一种两步均匀化方法来模拟光纤团聚,并结合了x射线CT的光纤色散测量。数值分析准确地复 制了实验中观察到的现象,证实了建模方法的有效性,并阐明了所开发的纤维素复合材料的完整性。此外,通过引入聚集域(k)和聚集密度(x)等参数,我们量化了纤维团聚对复合材料非线性力学性能的影响,并为纤维分散控制提供了设计指导。本研究不仅提出了一种制备纤维分散性优异的纤维素复合材料的方法,而且提供了一种系统的基于实验测量的多尺度数值分析方法来评价考虑纤维团聚的纤维素复合材料的力学性能。
Characterization of Out-of-Plane wrinkles in woven CFRP Laminate: Development of a novel algorithm utilizing ultrasonic scan data
Md Admay Amif, Irrtisum Khan, David A. Jack
doi:10.1016/j.compositesa.2024.108644
编织CFRP层压板面外皱纹的表征:利用超声扫描数据的新算法的发展
Out-of-plane wrinkles in laminated composites reduce the structural integrity. This study presents an algorithm to characterize wrinkle height and intensity of each lamina within a plain weave laminated composite, utilizing full waveform ultrasonic scan data. This algorithm enables the extraction of individual laminae in three dimensions. An immersion tank ultrasound testing system is employed for scanning coupled with a 7.5 MHz spherically focused transducer. Surface construction from the waveform entails a spatial Gaussian averaging followed by a tracking of voltage peaks in time of individual A-scans, from which we extract individual lamina interfaces. Four samples are presented with various wrinkle amplitudes encompassing a wide range of industrially relevant scenarios. The comparison of the ultrasonically characterized wrinkle heights with microscopic images of sectioned samples demonstrates consistency between the two methods, with a maximum deviation of 0.06 mm wrinkle amplitude across all samples considered in this study.
层合复合材料中的面外褶皱降低了结构的完整性。本研究提出了一种算法,利用全波形超声扫描数据来表征平纹编织层压复合材料中每个层的皱纹高度和强度。该算法能够在三维空间中提取单个层。采用浸入式超声检测系统与7.5 MHz球面聚焦换能器进行扫描。波形的表面构造需要空间高斯平均,然后跟踪单个a扫描时间的电压峰值,从中提取单个层状界面。四个样本提出了各种皱纹幅度包括广泛的工业相关场景。超声表征的皱纹高度与切片样品的显微图像的比较表明,两种方法之间的一致性,在本研究中考虑的所有样品中,皱纹幅度的最大偏差为0.06 mm。