Topological characterization of antireflective and hydrophobic rough surfaces: are random process theory and fractal modeling applicable?
Claudia Borri, Marco Paggi

TL;DR
This study critically evaluates the applicability of random process theory and fractal modeling to complex antireflective and hydrophobic rough surfaces, revealing significant limitations in their ability to accurately describe surface topologies.
Contribution
The paper provides a comprehensive experimental and numerical comparison highlighting the limitations of RPT and fractal models for textured surfaces with complex spectral properties.
Findings
RPT and fractal models cannot fully describe surface topology.
Presence of cut-offs or bi-fractality affects modeling accuracy.
Joint PDFs of asperity heights and curvatures are often inaccurately predicted.
Abstract
The random process theory (RPT) has been widely applied to predict the joint probability distribution functions (PDFs) of asperity heights and curvatures of rough surfaces. A check of the predictions of RPT against the actual statistics of numerically generated random fractal surfaces and of real rough surfaces has been only partially undertaken. The present experimental and numerical study provides a deep critical comparison on this matter, providing some insight into the capabilities and limitations in applying RPT and fractal modeling to antireflective and hydrophobic rough surfaces, two important types of textured surfaces. A multi-resolution experimental campaign by using a confocal profilometer with different lenses is carried out and a comprehensive software for the statistical description of rough surfaces is developed. It is found that the topology of the analyzed textured…
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