Multi Scale Investigation of Surface Topography of Ball Python (Python Regius) Shed Skin in Comparison to Human skin
H. A. Abdel-Aal, M. El Mansori, S. Mezghani

TL;DR
This study investigates the multi-scale surface topography of Ball Python shed skin using SEM and White Light Interferometry, comparing it to human skin to understand natural surface features that contribute to low wear and friction.
Contribution
It provides a detailed multi-scale analysis of Python skin surface features and compares them with human skin, offering insights into natural surface design for tribological applications.
Findings
Python skin has unique multi-scale topographical features.
Surface roughness varies across different body locations.
Compared to human skin, Python skin exhibits distinct surface characteristics.
Abstract
Constructing a surface that is an integral part of the function of tribosystems (deterministic surface) is an intriguing goal. Inspirations for such surfaces come from studying natural systems and deducing design rules. The major attraction is that natural systems, while functionally complex, are, in general, of optimized shape and performance. It is further believed that functional complexity of natural systems is what affords natural species to morph continuously to adapt with the operating environment. One bio-species that is of interest is the Ball Python. This is because such a species continuously slides against various surfaces, many of which are deemed tribologically hostile, without sustaining much damage. Much of the success of that species in adapting to its environment is attributed to surface design features. In that respect, studying these features and how do they…
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