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Wick characterization by image analysis

机译：图像分析芯子表征

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The microstructure characterization of tubular wicks is discussed using an image analysis method, mercury intrusion porosimetry and Arquimedes method. The central objective of this work is to determine the wide convenience of the image analysis technique for wick characterization. It is demonstrate that the image analysis technique is an appropriate tool to determine correlation function, total porosity and pore size distribution in two-dimensional (2-D) binary images of microstructures. The correlation function is used to simulate the 3-D reconstruction of porous structure. The images were obtained from a set of wick samples made of sintered nickel, through scanning electronic microscopy (SEM). A computer program (Imago) was developed and used in the work. The mercury intrusion porosimetry is also used to provide information about the breakthrough diameter of porous material. Results show porosity of about 60% and effective pore size less than 4 μm.
机译：使用图像分析方法，汞侵入孔隙瘤和arquimedes方法讨论了管状芯的微观结构表征。这项工作的中心目标是确定灯芯表征图像分析技术的广泛便利。结果表明，图像分析技术是一个适当的工具，用于确定微结构的二维（2-D）二进制图像中的相关函数，总孔隙率和孔径分布。相关函数用于模拟多孔结构的三维重建。通过扫描电子显微镜（SEM）从由烧结镍制成的一组芯样品获得图像。计算机程序（Imago）是在工作中使用的。汞侵入孔隙孔剂还用于提供有关多孔材料的突破直径的信息。结果显示孔隙率约为60％，有效的孔径小于4μm。

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