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Studying Pore Structure of Nonwovens with 3D Imaging and Modeling Permeability

机译:通过3D成像和渗透率建模研究无纺布的孔结构

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摘要

Nonwovens are classified as a porous material and pore structure is named as the most important and complex feature of them. Since pore structure is out of control during any nonwovens manufacturing processes, many attempts have been made to measure the major characteristics of a pore network including: pore size, pore volume, pore surface area and pore shape. Among all pore characteristics, pore size due to its significant influence on many nonwovens applications such as filtration is counted as the most significant one. Generally, experiment, theoretical modeling and image analysis are the most common methods to measure pore size of nonwovens. Normally, pores in nonwovens make many convergences and divergences along the length and for this reason, many pore diameters could be assigned for a media. Due to inefficiency of the aforementioned techniques to measure all these diameters, they are not precise enough to study pore structure.;The initial objective of this research is obtaining information of the pore structure, especially pore sizes, by applying image analysis techniques to a 3D image of nonwovens obtained through 3D imaging techniques such as DVI and micro CT. This 3D structure of the nonwoven media will be transformed to a graph, employing skeletonization through AvizoRTM software. The obtained graph exhibits topology, shape and connectivity of the pore structure for the utilized nonwoven. In this graph, each node and link would be a representative for pores intersection and body of pore, respectively. Saving the information of this graph results to some matrices/vectors including nodes coordinated, connectivity and nodes thickness, which exhibits the pore size. Therefore, all the pore sizes available in the structure will be extracted through this method.;As expected, the information obtained from pore network is very complex consisting many numbers, so analyse them would be very difficult. Therefore, it was tried to use the saved information to model permeability of the media. So, pore was assumed as a capillary and employing the similarity between Hagen-Poiseuille's and Ohm's laws results in simplifying a network of capillaries to a single number. For this purpose, the capillary network was considered as a resistor network and the equivalent resistance of this network was used to calculate permeability of the nonwoven, in conjunction with Darcy's law at the scale of imaged sample. Using several datasets (real and simulated) indicates that there is a decent agreement between the model and experiment.
机译:无纺布被分类为多孔材料,孔结构被称为最重要和最复杂的特征。由于在任何非织造布制造过程中孔结构都不受控制,因此已进行了许多尝试来测量孔网络的主要特征,包括:孔径,孔体积,孔表面积和孔形状。在所有孔隙特征中,由于其对许多非织造布应用(例如过滤)的显着影响而导致的孔径被认为是最重要的。通常,实验,理论建模和图像分析是测量非织造材料孔径的最常用方法。通常,非织造材料中的孔沿长度方向会出现许多会聚和发散的情况,因此,可以为介质分配许多孔径。由于上述技术无法有效地测量所有这些直径,因此它们不足以精确地研究孔结构。这项研究的最初目标是通过将图像分析技术应用于3D来获得孔结构的信息,尤其是孔径的信息。通过DVI和micro CT等3D成像技术获得的非织造布图像。非织造介质的这种3D结构将通过AvizoRTM软件进行骨架化处理,转换为图形。所获得的图显示了所用非织造布的孔结构的拓扑,形状和连通性。在该图中,每个节点和链接分别代表孔的交点和孔的主体。将此图的信息保存到一些矩阵/向量中,包括协调的节点,连通性和节点厚度,这些参数会显示出孔径。因此,将通过这种方法提取结构中所有可用的孔径。正如所料,从孔网络获得的信息非常复杂,包含许多数字,因此对其进行分析将非常困难。因此,尝试使用保存的信息来模拟介质的渗透性。因此,孔隙被假定为毛细管,并且利用Hagen-Poiseuille定律和Ohm定律之间的相似性将毛细管网络简化为单个数。为此,将毛细管网络视为电阻器网络,并使用该网络的等效电阻,结合达西定律在成像样本的范围内计算非织造布的渗透性。使用几个数据集(真实的和模拟的)表明,模型和实验之间存在良好的一致性。

著录项

  • 作者

    Baradari, Mehdi Gholipour.;

  • 作者单位

    North Carolina State University.;

  • 授予单位 North Carolina State University.;
  • 学科 Materials science.
  • 学位 Ph.D.
  • 年度 2016
  • 页码 210 p.
  • 总页数 210
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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