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首页> 外文期刊>Polymer Composites >Analysis of a Radial infusion Model for In-Plane Permeability Measurements of Fiber Reinforcement in Composite Materials
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Analysis of a Radial infusion Model for In-Plane Permeability Measurements of Fiber Reinforcement in Composite Materials

机译:用于复合材料中纤维增强的平面渗透率测量的径向注入模型的分析

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The principal components of in-plane permeability of fiber reinforcement during resin infusion can be determined by unidirectional or by radial flow experiments. Using unidirectional flow, two separate experiments are required to determine both components if the directions of principal axis are known. The main drawback of this method is related to the edge flow that may significantly affect the accuracy of measurements. In radial flow, both principal components can be determined by performing one experiment when the directions of principal axis are known. However, developed models that apply to this method require iterative procedures and are highly sensitive to the radius of the injection port. Measurements of the flow front displacement have to be taken when the wetted area becomes large enough in comparison with the size of the inlet gate. This analysis is based on a quasi-steady radial infusion model developed by Adams et al., Int. J. Multiphase Flow, 14, 203 (1988), which is used for calculation of the principal components of in-plane permeability. It is shown that the anisotropy coefficient and consequent permeability may be evaluated at any stage of the flow front displacement. This implies that the pressure difference does not necessarily need to be constant during the experiment, as usually required for most previous models. Asymptotic analysis for very small and very large flow front displacements is also conducted and comparison with point source algorithms is provided. Three accurate and relatively simple algorithms that do not require iterative procedures for evaluation of in-plane components of permeability are proposed.
机译:树脂注入过程中纤维增强材料的面内渗透性的主要成分可以通过单向或径向流动实验确定。如果已知主轴方向,则使用单向流动需要两个单独的实验来确定两个分量。该方法的主要缺点与边缘流动有关,该流动可能会显着影响测量的准确性。在径向流动中,当已知主轴方向时,可以通过执行一个实验来确定两个主要分量。但是,适用于此方法的已开发模型需要迭代过程,并且对进样口的半径高度敏感。与入口浇口的尺寸相比,当润湿面积变得足够大时,必须进行流前位移的测量。该分析基于由Adams等人(Int。 J.Multiphase Flow,14,203(1988),其用于计算面内渗透率的主要成分。结果表明,各向异性系数和相应的渗透率可以在流前位移的任何阶段进行评估。这意味着实验期间压力差不一定一定是恒定的,就像大多数以前的模型通常所要求的那样。还进行了非常小和非常大的流前位移的渐近分析,并与点源算法进行了比较。提出了三种不需要迭代过程即可评估渗透率的面内分量的准确且相对简单的算法。

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