原子力显微镜成像纳米表面随机轮廓分量参数化的解析方法
Analytical method for parameterizing the random profile components of nanosurfaces imaged by atomic force microscopy
摘要：
在生物技术、电子和机械工程中，许多技术表面的功能特性在很大程度上取决于其纳米级表面纹理的个体特征，这反过来又是表面制造过程的函数。在这些特征中，在不同空间尺度下，特别是在1至100 nm范围内的表面不规则性和自相似性结构是非常重要的，因为它们极大地影响了作用在纳米级距离处的表面相互作用力。提出了一种原子力显微镜（AFM）成像纳米表面的表面不规则性及其相关性的参数化分析方法。在这种方法中，闪烁噪声光谱-一种统计物理方法-被用来开发六个纳米计量参数，其特征在于跳跃和尖峰状的不规则性到表面纹理的高频贡献。这些贡献分别反映了表面制造过程中反常扩散和惯性效应的随机过程。利用原子力显微镜（AFM）对低碳钢表面在硝酸盐溶液中形成的含涂层生长促进剂的耐蚀磁铁矿涂层在不同温度下的织构进行了分析。结果表明，表征表面尖峰的参数是能够量化的工艺温度对涂层的耐腐蚀性的影响。这些参数可用于预测和表征磁铁矿涂层的耐腐蚀性能。
英文摘要：
The functional properties of many technological surfaces in biotechnology, electronics, and mechanical engineering depend to a large degree on the individual features of their nanoscale surface texture, which in turn are a function of the surface manufacturing process. Among these features, the surface irregularities and self-similarity structures at different spatial scales, especially in the range of 1 to 100 nm, are of high importance because they greatly affect the surface interaction forces acting at a nanoscale distance. An analytical method for parameterizing the surface irregularities and their correlations in nanosurfaces imaged by atomic force microscopy (AFM) is proposed. In this method, flicker noise spectroscopy - a statistical physics approach - is used to develop six nanometrological parameters characterizing the high-frequency contributions of jump- and spike-like irregularities into the surface texture. These contributions reflect the stochastic processes of anomalous diffusion and inertial effects, respectively, in the process of surface manufacturing. The AFM images of the texture of corrosion-resistant magnetite coatings formed on low-carbon steel in hot nitrate solutions with coating growth promoters at different temperatures are analyzed. It is shown that the parameters characterizing surface spikiness are able to quantify the effect of process temperature on the corrosion resistance of the coatings. It is suggested that these parameters can be used for predicting and characterizing the corrosion-resistant properties of magnetite coatings.
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