Surface profile estimation by digital filtering for wear volume calculation

A new technique has been suggested for estimating the profile of an original unworn surface. Using digital filtering the profile signals from the profilometer are divided into two types: waviness—low frequency signals and roughness—high frequency signals. The original profile of a wear track was estimated by combining the waviness and the roughness taken from the surface before the wear test. The results of the study show that this technique results in an accurate estimate of the original profile.