Abstract Surface roughness plays a critical role and has effects in, e.g. fluid dynamics or contact mechanics. For example, to evaluate behavior at different properties, real-world numerical experiments are performed. Numerical simulations of rough surfaces can speed up these studies because they help collect more relevant information. However, it is hard simulate with deterministic structured ...

Most diffraction theories for random rough surfaces are based on the assumption of a Gaussian height distribution. In this paper, a diffraction theory for non-Gaussian rough surfaces is developed and the relationship between the roughness parameters and the diffraction characteristics is explored. It is shown that a non-Gaussian rough surface can dramatically alter the diffraction for (k'w) @1,...

We study light absorption by weakly rough metal surfaces with the roughness amplitude and correlation length smaller than skin depth in metal. develop a systematic perturbative approach for calculation of absorptance such systems find that roughness-related variations are determined an interplay between several system parameters which can result, particular, greater amplitudes. show that, small...

This article describes a novel mobile wall-climbing robot named City-Climber that has the capabilities to move on the ground, climb walls, walk on ceilings, and transit between different surfaces. Unlike the traditional climbing robots using magnetic devices and vacuum suction techniques, and the robots inspired by the gecko foot, the City-Climber robot is based on aerodynamic attraction which ...

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 pro...