Premium
Bisquare robust polynomial fitting method for dimple distortion minimization in surface quality analysis
Author(s) -
Podulka Przemysław
Publication year - 2020
Publication title -
surface and interface analysis
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.52
H-Index - 90
eISSN - 1096-9918
pISSN - 0142-2421
DOI - 10.1002/sia.6793
Subject(s) - dimple , polynomial , distortion (music) , enhanced data rates for gsm evolution , surface (topology) , stylus , cylinder , minification , geometry , mathematics , optics , materials science , computer science , mathematical analysis , artificial intelligence , computer vision , mathematical optimization , physics , composite material , amplifier , optoelectronics , cmos
In this paper, the bisquare robust polynomial fitting (BSRPF) method for surface texture features assessment was proposed. Plateau‐honed cylinder liner bronze surfaces with additionally burnished microcavities (defined as dimple, holes, and/or cavities) were taken into consideration. Analyzed details were measured with stylus (Talyscan 150) or white light interferometer (Talysurf CCI Lite) methods. It was assumed that application of commonly used (in surface contact and noncontact measurement technology) polynomial fitting procedures did not allow to extract required features; distortion of microreservoir dimples for oil consumption assessment was falsely estimated when valleys were near edge or on the edge located. Application of bisquare robust polynomial fitting method caused a minimization of microflattens of dimples irrespective of valley distribution; the biggest degree of polynomial fitting method applied, the minimal distortions of oil reservoirs were noticed. The valley size (depth and width) and valley‐to‐valley distance were also taken into account.