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Permeability characterization and microvoid prediction during impregnation of fiber tows in dual-scale fabrics.

机译:双尺度织物中纤维束浸渍过程中的渗透性表征和微孔预测。

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摘要

Accurate characterization of the permeability of fabrics used as reinforcement materials in liquid composite molding (LCM) processes is necessary to realistically model the flow through these porous preforms. When dual-scale preforms are employed, not just the macro permeability values are of interest; the micro-scale permeability of the fiber tows inherent to the fabric must additionally be determined. These permeability values can then be used in LCM simulations in which standard two- or three-dimensional (2D or 3D) mesh elements are combined with one-dimensional (1D) elements. The 1D elements are attached at each node and represent the fiber tows in preforms that exhibit dual scale porosity. This implementation allows for the interactions between the macro and micro flow, and can predict the saturation of the fiber tows, along with the movement of the macroscopic resin flow front. Consequently, the time it will take to fill the mold and saturate all regions can be accurately predicted and any void formation sites can be forecasted.; A methodology is proposed, which can determine the macro permeability along with a simulation fitting parameter that is closely associated to the micro permeability. (Abstract shortened by UMI.)
机译:对在液体复合成型(LCM)工艺中用作增强材料的织物的渗透性进行准确表征,对于真实地模拟通过这些多孔预成型坯的流动非常必要。当使用双尺度的预成型坯时,不仅宏观渗透率值是令人关注的;而且,如果不考虑宏观渗透率的话,则不适合。此外,还必须确定织物固有的纤维束的微尺度渗透性。然后,这些渗透率值可用于LCM模拟,其中将标准的二维或三维(2D或3D)网格元素与一维(1D)元素组合在一起。 1D元素附着在每个节点上,代表预成型坯中的纤维束,呈现出双尺度的孔隙率。这种实现方式允许宏观和微观流动之间的相互作用,并且可以预测纤维束的饱和度以及宏观树脂流动前沿的运动。因此,可以准确地预测填充模具和饱和所有区域所需的时间,并且可以预测任何空隙形成部位。提出了一种方法,该方法可以确定宏观渗透率以及与微观渗透率密切相关的模拟拟合参数。 (摘要由UMI缩短。)

著录项

  • 作者

    Barnett, Nina (Kuentzer).;

  • 作者单位

    University of Delaware.;

  • 授予单位 University of Delaware.;
  • 学科 Engineering Mechanical.
  • 学位 M.S.M.E.
  • 年度 2006
  • 页码 144 p.
  • 总页数 144
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 机械、仪表工业;
  • 关键词

  • 入库时间 2022-08-17 11:40:04

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