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A study of micro fiber dispersion using digital image analysis

机译:利用数字图像分析研究微纤维的色散

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摘要

The area of the digital image processing is getting more attention in the hope that it will increase the accuracy of any scientific measurements, such as in determining an object velocity, temperature, and size. While human vision is excellent to recognize and differentiate objects, it has been proven to be a poor tool when it comes to measure the object performance. One of many digital image processing applications is texture analysis whose purpose is to evaluate image patterns. The purpose of this dissertation is to investigate the use of texture analysis as a tool to micro fiber dispersion measurement. Micro fiber dispersion can be found in many applications such as in paper and industry powder engineering.Three cases related to micro fiber dispersion were investigated in this study. The first case was the experimental study of the dispersion in open water channel. Sets of synthetic fibers were put into water channel to simulate a process that can be found in papermaking industry. The research investigated the effect of three operating parameters: fluid velocity, fiber consistency, and fiber aspect ratio to fiber dispersion. Using two-factorial experimental design technique, the main and interaction effects of these parameters were evaluated. The study found that increasing fluid velocity, fiber aspect ratio, and consistency decreased the dispersion level. The study also found that the effect of individual parameters is more pronounced than the role of the interactive terms on the fiber flocculation.The second case considered was applying the fiber dispersion analysis to computer-synthesized images consisting of different arrangements of fibers. Four sets of sub-cases were presented. These sub-cases were divided based on the fiber-concentrated location and fiber distribution. The use of computer-synthesized images was found to be very useful to simulate real situation during fiber dispersion.The third case investigated the fiber distribution on a dry paper. Images for different types of paper were taken and evaluated to see the dispersion level of each type of paper. It was found that the current texture analysis was applicable to determine the dispersion level for dry papers. While three cases indicated that the texture analysis can be used to investigate the fiber dispersion, the texture analysis used here is not a perfect and universal method and may not be suitable to analyze other types of dispersions. The human vision will always be essential to determine if the texture analysis is applicable to any other problem.
机译:数字图像处理领域受到越来越多的关注,希望它将提高任何科学测量的准确性,例如确定物体的速度,温度和大小。虽然人类的视觉非常擅长识别和区分物体,但事实证明,它是衡量物体性能的有效工具。纹理分析是许多数字图像处理应用程序之一,其目的是评估图像图案。本文的目的是研究纹理分析作为微纤维色散测量工具的应用。超细纤维分散体可以在许多应用中找到,例如在造纸和工业粉末工程中。在这项研究中调查了三例与微纤维分散有关的情况。第一种情况是对开放水道中分散体的实验研究。将几组合成纤维放入水道中,以模拟造纸工业中可以找到的过程。该研究调查了三个操作参数的影响:流体速度,纤维稠度和纤维纵横比与纤维分散度。使用两因素实验设计技术,评估了这些参数的主要作用和相互作用。研究发现,增加流体速度,纤维长径比和稠度会降低分散度。研究还发现,各个参数的影响要比交互作用项对纤维絮凝的作用更为明显。考虑的第二种情况是将纤维色散分析应用于由不同纤维排列组成的计算机合成图像。提出了四组子案例。这些子案例根据纤维集中的位置和纤维分布进行了划分。发现使用计算机合成图像对于模拟光纤色散过程中的实际情况非常有用。第三种情况研究了纤维在干纸上的分布。拍摄并评估了不同类型纸张的图像,以查看每种纸张的分散程度。发现当前的纹理分析适用于确定干纸的分散度。虽然有三种情况表明可以使用纹理分析来研究纤维的色散,但此处使用的纹理分析并不是一种完美且通用的方法,因此可能不适用于分析其他类型的色散。人工视觉对于确定纹理分析是否适用于任何其他问题始终至关重要。

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    Hendrarsakti Jooned;

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  • 年度 2004
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  • 正文语种 en_US
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