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Roughness Of Pigment Coatings And Its Influence On Gloss

机译:颜料涂层的粗糙度及其对光泽的影响

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A robust method is used for analyzing roughness at a wide range of lateral length scales. The method is based on two-point correlation where both the amplitude and lateral spacing of surface heights are considered when determining the roughness. Atomic force microcopy and confocal optical microscopy images were captured for a set of pigment-coated samples. The effects of sampling interval, image size and filtering on surface roughness were studied. Isotropy and periodicity of roughness were determined by analyzing the angular distribution of the correlation length (T) and the autocorrelation function (ACF). A clear dependence of root mean square (RMS) roughness (σ) on T was established for randomly distributed surfaces. By taking into account the σ-T dependence it was possible to obtain σ for various length scales for each sample and thus attaining the most relevant σ for a certain surface function, which in this study was specular reflection of light (gloss). The roughness analysis showed that a small amount of DPP coating was sufficient to completely cover and change the surface of the substrate, while kaolin coatings gave a different response.
机译:一种可靠的方法可用于分析各种横向长度范围内的粗糙度。该方法基于两点相关,其中在确定粗糙度时要同时考虑表面高度的幅度和横向间距。捕获了一组涂有颜料的样品的原子力显微镜和共焦光学显微镜图像。研究了采样间隔,图像尺寸和滤波对表面粗糙度的影响。通过分析相关长度(T)和自相关函数(ACF)的角度分布来确定粗糙度的各向同性和周期性。对于随机分布的表面,建立了均方根(RMS)粗糙度(σ)对T的明确依赖性。通过考虑σ-T依赖性,可以为每个样品获得各种长度尺度的σ,从而获得与某个表面函数最相关的σ,在本研究中该σ是光的镜面反射(光泽)。粗糙度分析表明,少量的DPP涂层足以完全覆盖并改变基材的表面,而高岭土涂层的响应却不同。

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