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Combining X-ray Micro-Tomography and Image Analysis to Study Imbibition and Void Space in Liquid Packaging Board

机译:结合X射线断层扫描和图像分析研究液体包装板中的吸着空间和空隙空间

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摘要

Methods combining micro scale resolution x-ray shadowgraphs, computerised x-ray micro-tomography and advanced image analysis were developed to study connections between the structure of void space and raw edge imbibition in liquid packaging board. Imbibition roughening was analyzed from 2D shadowgraphs by a dynamic interface recognition algorithm. An idea of investigating flow paths in cardboard samples using potassium iodine in water solution as contrast enhancement substance was introduced. For demonstrating the potential of the tomographic methods, numerical lattice Boltzmann permeability simulations were performed. Experimental measurements were conducted to compare and support the results extracted from tomographic data. A 3D void space segmentation algorithm was utilized to analyze structure of void space in tomographic reconstructions. Tentative results indicate that the new methods can be used to find correlation between pore size heterogeneity and imbibition roughening. Finally, water absorption coefficients of the test samples were calculated utilizing results extracted from the void space segmentation analysis.
机译:结合微尺度分辨率X射线阴影照片,计算机X射线显微断层照相术和先进的图像分析方法,研究了液体包装板中空隙空间的结构与原始边缘吸收之间的联系。通过动态界面识别算法从2D阴影图中分析了吸光度粗糙化。提出了使用碘化钾水溶液作为对比增强物质来研究纸板样品中流路的想法。为了证明层析成像方法的潜力,进行了数值格子玻尔兹曼渗透性模拟。进行实验测量以比较和支持从断层扫描数据中提取的结果。 3D空隙空间分割算法被用来分析层析重建中空隙空间的结构。初步结果表明,新方法可用于发现孔径异质性与吸水糙度之间的相关性。最后,利用从空隙空间分割分析中提取的结果来计算测试样品的吸水系数。

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