Hierarchical-information-based characterization of multiscale structured surfaces

Abstract

This paper presents a hierarchical-information-based characterization method for multiscale structured surfaces. The method makes use of a priori information of the multiscale surface and a hierarchical segmentation-registration (HSR) algorithm to firstly divide the measurement dataset into segments, which are then registered with the designed geometry of the microstructure. The registered information is used to reconstruct the large scale topography. Multiple scales of surface information are decomposed hierarchically by the HSR algorithm. Hence, the errors in different scales are determined. Simulation and experimental results show that the hierarchical-information-based characterization method is accurate and effective in the characterization of multiscale structured surfaces.

Any-degrees-of-freedom (anyDOF) registration for the characterization of freeform surfaces

“…1. The target surface is first subjected to outlier removal to remove spurious points due to measurement noise, dirt on the surface and/or measurement artefacts often present in optical measurement instruments [15][16][17]. The surface is subsequently transformed using a priori knowledge, such as removing tilt or pre-alignment using reference features.…”

Diamond machining of freeform-patterned surfaces on precision rollers

“…Another experiment was conducted to fabricate a microlens array on a precision roller. The microlens array was designed with rectangular apertures to increase the fill factor [29,30]. In this experiment, the microlens array was directly designed on the roller instead of designing the microstructure patterns on a flat surface.…”