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Use of image analysis to evaluate surface dispersion and covering performance of nanolime coatings sprayed on heritage material substrates

机译:图像分析使用图像分析来评估喷涂在遗产基材上喷涂的纳米涂层的表面分散和覆盖性能

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Coatings are often used to reinforce the surface of monuments, although little is known about their surface dispersion and effectiveness. This paper examines the surface distribution of Ca(OH)(2) nanoparticle-based coatings (Ca(OH)(2)-NP). The coatings were sprayed on different substrates and studied by image analysis software and microscopy. Using image segmentation techniques the phase of interest (coating) was separated from the background material and evaluated. In control surfaces, up to 92.73% of the examined area was coated by the nanoparticles. In contrast, when the treatment was sprayed on building materials the NP-coatings were preferentially deposited in weaker zones, such as cracks or defects of the surface. In this case, the processed images revealed that less than 30% of the examined surface was coated by the NP-coating.
机译:涂料通常用于加强古迹表面,尽管对它们的表面分散和有效性毫无少的人来说。本文研究了Ca(OH)(2)基纳米粒子涂层的表面分布(Ca(OH)(2)-NP)。将涂层喷射在不同的基材上,并通过图像分析软件和显微镜进行研究。使用图像分割技术,利益相(涂层)与背景材料分离并评估。在控制表面中,纳米颗粒涂覆高达92.73%的检查区域。相反,当将处理喷涂在建筑物上时,优先沉积NP涂层,例如表面的裂纹或缺陷。在这种情况下,处理过的图像显示,通过NP涂层涂覆小于30%的检查表面。

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