Meaning
A digital filter eliminates the shortest-wavelength noise and measurement artifacts from a surface profile, establishing the high-frequency limit of the measured data. This Gaussian S-Filter uses a weighted average based on a Gaussian probability density function to smooth out microscopic irregularities that do not represent the true texture of the material. It ensures that the measurement is not distorted by electronic noise or dust.
Roughness Extraction
The cutoff length of the filter defines the boundary where the shortest wavelengths are removed from the analysis. This allows the metrologist to focus on the surface features that are relevant to the performance of the part, such as friction or paint adhesion. By removing the high-frequency noise, the filter produces a more reliable calculation of the average surface roughness.
Metrology Standard
Standardized protocols require the use of this filter to ensure consistency between different laboratories and measuring instruments. It is applied before calculating parameters such as arithmetic mean roughness. This standardized approach is necessary for qualifying mould surfaces that require strict replication of microscopic features.
Measurement Utility
The filter is a primary tool for verifying that the sub-micron texture of a lens insert is correctly replicated in the polymer.