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COATED PAPER MICROSTRUCTURE: PARTICLE SHAPE - MICROSTRUCTURE INTERRELATIONS

机译:涂布纸微观结构:粒子形状 - 微观结构相互关系

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Model coatings with differing pore structures were prepared based on precipitated calcium carbonate (PCC), ground calcium carbonate (GCC) and kaolin. Corresponding numerical model structures were also constructed. The physical coating layers were assessed with high-resolution Focused Ion Beam (FIB). The FIB images of the coating structures were analyzed with modern image analysis techniques, including a Maximal Inscribed Sphere (MIS) approach and gradient analysis. The proposed approach was the basis for producing new information about the microscopic properties of paper coatings, assessing also the inter-relations between the particle shapes and the corresponding microscopic pore structures. The results indicate that the statistics calculated for the numerical coating structures was found to be in reasonable agreement with that of the experimental data. The PCC and the kaolin samples had the highest and lowest porosity, respectively. Such differences, which were also detected when quantifying the pore shapes, are attributed to the different particle shapes. The study demonstrated that the fundamental knowledge generated from the image analysis on the experimental 2-D sections and the numerical models can be used to improve our mechanistic understanding of the links between pigments, coating structure and paper/ printing performance.
机译:基于沉淀的碳酸钙(PCC),碳酸钙(GCC)和高岭土,制备具有不同孔结构的模型涂层。还构造了相应的数值模型结构。用高分辨率聚焦离子束(FIB)评估物理涂层。用现代图像分析技术分析涂层结构的FIB图像,包括最大铭刻球体(MIS)方法和梯度分析。所提出的方法是制备有关纸涂层微观性质的新信息的基础,也评估颗粒形状与相应的微观孔结构之间的关系。结果表明,对数值涂层结构计算的统计数据被发现与实验数据的合理一致。 PCC和高岭土样品分别具有最高和最低的孔隙率。在量化孔形状时也检测到这种差异归因于不同的颗粒形状。该研究表明,从实验2-D段的图像分析和数值模型中产生的基本知识可用于改善对颜料,涂层结构和纸张/印刷性能之间的联系的机械理解。

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