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Experimental and numerical characterization of scalable cellulose nano-fiber composite.

机译:可伸缩纤维素纳米纤维复合材料的实验和数值表征。

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摘要

Fiber-reinforced polymer composites have been used in recent years as an alternative to the conventional materials because of their low weight, high mechanical properties and low processing temperatures. Most polymer composites are traditionally made using reinforcing fibers such as carbon or glass fibers. However, there has been recent interest in making these reinforcing fibers from natural resources. The plant-derived cellulose nano-fibers (CNF) are a material with remarkable mechanical properties at the nano-scale that are much superior to the mechanical properties of the traditional natural fibers (such as jute, hemp, kenaf, etc) used in the natural-fiber based polymer composites. Because CNF is bio-based and biodegradable, it is an attractive 'green' alternative for use in automotive, aerospace, and other engineering applications. However, efforts to produce CNF based nano-composites, with successful scaling-up of the remarkable nanoscale properties of CNF, have not met with much success and form an active area of research.;The main goals of this research are to characterize the scalable CNF based nano composites using experimental methods and to develop effective models for flow of polymeric resin in the CNF-based porous media used during the proposed manufacture of CNF nano-composites. In the CNF composite characterization section, scalable isotropic and anisotropic CNF composites were made from a porous CNF preforms created using a freeze drying process. Formation of the fibers during freeze-drying process can change the micro skeleton of the final preform structure as non-aligned or isotropic and aligned or anisotropic CNF. Liquid Composite Molding (LCM) processes form a set of liquid molding technologies that are used quite commonly for making the conventional polymer composites. An improvised vacuum-driven LCM process was used to make the CNF-based nanocomposites from CNF preforms using a 'green' epoxy resin with high bio-content. Under the topic of isotropic CNF, formation of the freeze-dried CNF preforms' porous network strongly affects the mechanical, microstructural and tribological properties of the composite, therefore experimental testing was performed to characterize the effects of pore structure on global properties of isotropic CNF composites. Level of curing was investigated by experimental methods such as DSC in order to analyze its effects on the mechanical properties. The causes of failure in the composites were discussed by analyzing the SEM micrographs of fractured surfaces. The investigations revealed that the silane treated samples show superior mechanical behavior and higher storage modulus compared to the untreated (no silane) samples. The DMA and DSC results indicated a reduction in the glass transition temperature for the CNF composites compared to the pure resin samples. The tensile results showed higher elastic moduli in composites made from silane treated CNF preforms compared to those made from non silane-treated preforms. The tribological behavior of the silylated CNFs composites showed lower coefficient of friction and wear volumes than the neat bio-epoxy due to the formation of a transfer film on the mating surfaces, which led to a decrease in the 'direct contact' of the composite with the asperities of the hard metallic counterface. Under the topic of anisotropic CNF nanocomposites, a recently-discovered new type of CNF preform with more-aligned pore structure was used in our improvised LCM process to make the CNF-based anisotropic nanocomposite. The effect of such aligned pore structure on the mechanical and microstructural properties of CNF-based nanocomposites was investigated. As before, we used the tensile test, DMA and SEM to characterize this new material. Our investigation revealed that anisotropic CNF preform improved the overall mechanical properties of CNF composites due to better interfacing between the CNF and resin inside aligned pore structure of anisotropic CNF. Also, DMA results showed an improvement in the glass transition temperature of the anisotropic samples compared to the isotropic ones. For flow modeling in the CNF-based porous medium, the closure formulation, developed as a part of the derivation of Darcy's law developed by Whitaker [1], was used to develop novel numerical and experimental methods for estimating the permeability and absorption characteristics of a porous medium with a given pore-level microstructure. The permeability of such a porous medium was estimated numerically while the absorption characteristics were analyzed through experiments. In order to use real micrograph in permeability simulations, 2D SEM pictures of the CNF-based porous media were considered. The falling head permeameter was used for measuring the experimental permeability in order to test the accuracy of the permeability tensor obtained by the proposed numerical simulation. The permeability values were also compared with the theoretical models of Kozeny-Carman. A good agreement between the numerical, experimental and analytical methods demonstrated the accuracy of the closure formulation and the resulting simulation. These results also present the closure formulation based method as a viable method to estimate the permeability of porous media using 2D SEM micrographs; such a method harnesses the micro-macro coupling and is marked with absence of any constitutive-relation based assumption for such upscaling. Such a method is also faster, less expensive and less problematic than the corresponding 3D micro-CT scan based method because of much smaller degrees-of-freedom, memory and storage requirements. Under the absorption characteristics study, absorption characteristics of paper-like CNF porous medium was modeled using theoretical derivation of governing equation for single-phase flow and swelling behavior and absorption coefficient were investigated through experiments. In derivation part, unique form of mass conservation was developed using volume averaging theorem in the swelling, liquid-absorbing CNF-based preform. The case of the absorption coefficient, b being unity, which corresponds to the liquid absorption rate into fibers being equal to the fiber expansion rate, results in the classical form of the continuity equation that is originally derived for a rigid, non-deforming porous medium. The value of b was determined using a novel dipping experiment conducted with the help of a microbalance and was found to be unity for flow models in swelling porous media made of the CNF.
机译:近年来,由于纤维增强的聚合物复合材料重量轻,机械性能高和加工温度低,因此已被用作传统材料的替代材料。传统上,大多数聚合物复合材料是使用增强纤维(例如碳纤维或玻璃纤维)制成的。然而,近来有兴趣从天然资源制备这些增强纤维。植物来源的纤维素纳米纤维(CNF)是一种在纳米级具有卓越机械性能的材料,其性能远远优于传统的天然纤维(如黄麻,大麻,洋麻等)的机械性能。天然纤维基聚合物复合材料。由于CNF是基于生物的且可生物降解的,因此它是在汽车,航空航天和其他工程应用中使用的有吸引力的“绿色”替代品。然而,在成功扩大CNF纳米级显着特性的基础上,基于CNF的纳米复合材料的生产努力并没有取得太大的成功,并成为一个活跃的研究领域。该研究的主要目标是表征可扩展性。使用实验方法的基于CNF的纳米复合材料,并开发有效的模型,用于在拟定的CNF纳米复合材料制造过程中使用的基于CNF的多孔介质中聚合树脂的流动。在CNF复合材料表征部分,可伸缩的各向同性和各向异性CNF复合材料由使用冷冻干燥工艺制成的多孔CNF预成型坯制成。在冷冻干燥过程中纤维的形成可以将最终预成型坯结构的微骨架改变为非排列或各向同性和排列或各向异性的CNF。液体复合成型(LCM)工艺形成了一套液体成型技术,这些技术非常普遍地用于制造常规聚合物复合材料。使用改进的真空驱动LCM工艺,使用具有高生物含量的“绿色”环氧树脂,由CNF预成型件制备基于CNF的纳米复合材料。在各向同性CNF主题下,冻干CNF预成型件的多孔网络的形成强烈影响复合材料的机械,微观结构和摩擦学性能,因此进行了实验测试以表征孔结构对各向同性CNF复合材料整体性能的影响。通过实验方法(例如DSC)研究了固化水平,以分析其对机械性能的影响。通过分析断裂表面的SEM显微照片,讨论了复合材料失效的原因。研究表明,与未处理(无硅烷)样品相比,经硅烷处理的样品显示出优异的机械性能和更高的储能模量。 DMA和DSC结果表明,与纯树脂样品相比,CNF复合材料的玻璃化转变温度降低了。拉伸结果表明,与未硅烷处理的预制件相比,由硅烷处理的CNF预制件制成的复合材料具有更高的弹性模量。甲硅烷基化的CNFs复合材料的摩擦学性能和摩擦系数和磨损量比纯生物环氧树脂低,这是由于在交配表面上形成了转移膜,导致复合材料的“直接接触”减少了。坚硬的金属表面的凹凸。在各向异性CNF纳米复合材料的主题下,我们改进的LCM工艺中使用了一种新发现的新型CNF预成型坯,其孔结构更加对齐,从而制备了基于CNF的各向异性纳米复合材料。研究了这种对齐的孔结构对基于CNF的纳米复合材料的机械和微观结构性能的影响。和以前一样,我们使用拉伸试验,DMA和SEM表征了这种新材料。我们的研究表明,各向异性CNF预成型坯改善了CNF复合材料的总体机械性能,这是由于CNF与各向异性CNF的对齐孔结构内部的树脂之间的界面更好,从而提高了CNF复合材料的整体机械性能。此外,DMA结果表明,与各向同性样品相比,各向异性样品的玻璃化转变温度有所提高。对于基于CNF的多孔介质中的流动建模,作为Whitaker [1]推导的达西定律的一部分开发的封闭公式,被用于开发新颖的数值和实验方法来估计渗透率和吸收特性。具有给定孔隙水平微结构的多孔介质。通过实验评估了这种多孔介质的渗透性,同时对吸收特性进行了分析。为了在渗透率模拟中使用真实的显微照片,考虑了基于CNF的多孔介质的2D SEM图片。为了测试通过所提出的数值模拟获得的渗透率张量的准确性,使用落头渗透仪测量实验渗透率。渗透率值也与Kozeny-Carman的理论模型进行了比较。数值,实验和分析方法之间的良好一致性证明了封闭剂配方和所得模拟的准确性。这些结果还提出了基于封闭剂配方的方法,该方法是使用2D SEM显微照片估算多孔介质渗透率的可行方法。这种方法利用了微观-宏观耦合,并被标记为缺乏针对这种放大的任何基于本构关系的假设。由于自由度,存储器和存储需求要小得多,因此这种方法比相应的基于3D微型CT扫描的方法更快,更便宜,并且问题更少。在吸收特性研究的基础上,利用理论推导的单相流控制方程,对纸样CNF多孔介质的吸收特性进行了建模,并通过实验研究了溶胀行为和吸收系数。在派生部分,使用溶胀的,吸收液体的CNF基预成型坯中的体积平均定理,开发了独特的质量守恒形式。吸收系数b为1的情况(对应于纤维对液体的吸收速率等于纤维膨胀速率)会导致连续性方程的经典形式,该方程最初是针对刚性的,不变形的多孔介质得出的。 b的值是使用借助微量天平进行的新型浸入实验确定的,发现对于由CNF制成的膨胀多孔介质中的流动模型,其b是统一的。

著录项

  • 作者

    Barari, Bamdad.;

  • 作者单位

    The University of Wisconsin - Milwaukee.;

  • 授予单位 The University of Wisconsin - Milwaukee.;
  • 学科 Mechanical engineering.;Nanotechnology.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 144 p.
  • 总页数 144
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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