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Determining micro- and macro- geometry of fabric and fabric reinforced composites.

机译:确定织物和织物增强复合材料的微观和宏观几何形状。

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摘要

Textile composites are made from textile fabric and resin. Depending on the weaving pattern, composite reinforcements can be characterized into two groups: uniform fabric and near-net shape fabric. Uniform fabric can be treated as an assembly of its smallest repeating pattern also called a unit cell; the latter is a single component with complex structure. Due to advantages of cost savings and inherent toughness, near-net shape fabric has gained great success in composite industries, for application such as turbine blades.;Mechanical properties of textile composites are mainly determined by the geometry of the composite reinforcements. The study of a composite needs a computational tool to link fabric micro- and macro-geometry with the textile weaving process and composite manufacturing process.;A textile fabric consists of a number of yarns or tows, and each yarn is a bundle of fibers. In this research, a fiber-level approach known as the digital element approach (DEA) is adopted to model the micro- and macro-geometry of fabric and fabric reinforced composites. This approach determines fabric geometry based on textile weaving mechanics. A solver with a dynamic explicit algorithm is employed in the DEA.;In modeling a uniform fabric, the topology of the fabric unit cell is first established based on the weaving pattern, followed by yarn discretization. An explicit algorithm with a periodic boundary condition is then employed during the simulation. After its detailed geometry is obtained, the unit cell is then assembled to yield a fabric micro-geometry. Fabric micro-geometry can be expressed at both fiber- and yarn-levels.;In modeling a near-net shape fabric component, all theories used in simulating the uniform fabric are kept except the periodic boundary condition. Since simulating the entire component at the fiber-level requires a large amount of time and memory, parallel program is used during the simulation.;In modeling a net-shape composite, a dynamic molding process is simulated. The near-net shape fabric is modeled using the DEA. Mold surfaces are modeled by standard meshes. Long vertical elements that only take compressive forces are proposed. Finally, micro- and macro-geometry of a fabric reinforced net-shape composite component is obtained.
机译:纺织品复合材料由纺织品和树脂制成。根据编织图案的不同,复合材料增强材料可分为两类:均匀织物和近净形织物。均匀的织物可以视为其最小重复图案的集合体,也称为单位单元。后者是具有复杂结构的单个组件。由于节省成本和固有韧性的优点,近净形织物在复合材料工业中获得了巨大的成功,例如在涡轮叶片等应用中。纺织复合材料的机械性能主要取决于复合材料增强材料的几何形状。复合材料的研究需要一种计算工具,以将织物的微观和宏观几何形状与织物的编织过程和复合材料的制造过程联系起来。织物由许多纱线或丝束组成,每根纱线都是一束纤维。在这项研究中,采用一种称为数字元素方法(DEA)的纤维级方法来模拟织物和织物增强复合材料的微观和宏观几何形状。这种方法根据纺织品的编织机制确定织物的几何形状。在DEA中使用具有动态显式算法的求解器;在对均匀织物进行建模时,首先基于织造图案建立织物单位单元的拓扑,然后进行纱线离散化。然后在仿真过程中采用具有周期性边界条件的显式算法。在获得其详细的几何形状之后,然后组装该晶胞以产生织物的微几何形状。织物的微观几何形状可以在纤维和纱线两个层面上表达。在建模近净形织物组件时,除了周期性边界条件外,所有用于模拟均匀织物的理论都得以保留。由于在纤维级别模拟整个组件需要大量的时间和内存,因此在模拟过程中将使用并行程序。在建模网状复合材料时,将模拟动态成型过程。使用DEA对近最终形状的织物进行建模。模具表面通过标准网格建模。提出了仅承受压缩力的长垂直元件。最后,获得了织物增强的网状复合部件的微观和宏观几何形状。

著录项

  • 作者

    Huang, Lejian.;

  • 作者单位

    Kansas State University.;

  • 授予单位 Kansas State University.;
  • 学科 Engineering General.;Engineering Materials Science.;Textile Technology.
  • 学位 Ph.D.
  • 年度 2013
  • 页码 142 p.
  • 总页数 142
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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