Open AccessReduction of the end-effect in surface texture analysis
Author(s) -
Przemysław Podulka
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1736/1/012013
Subject(s) - enhanced data rates for gsm evolution , gaussian , surface (topology) , filter (signal processing) , texture (cosmology) , software , reduction (mathematics) , computer science , linear regression , mathematics , artificial intelligence , statistics , computer vision , geometry , image (mathematics) , physics , quantum mechanics , programming language
The edge-effect in the filtering of the results of surface topography measurements is presently one of the most significant and radical challenges in surface texture assessments. Errors in data analysis are next to measurement problems the most affecting factor of the accuracy for the results obtained. This paper investigates reduction of the edge-filtering-effect of cylinder liner surface textures. Different edge-robust data analysis methods were applied and compared with commonly-used procedures, e.g. those available in commercial software of measurement equipment like various regression Gaussian filters. It was assumed that some of surface topography features are more vulnerable for their false estimation when they are edge-locates and their size (depth, width, section) might be a potentially decisive factor in selecting a correct procedure. The influence of the proposed methods on the selected surface topography parameters (from ISO 25178 standard) calculation and their comparison with the typically used procedures (e.g. Gaussian regression filter) was also comprehensively studied. It was found that some of the digital filters, commonly recommended for commercial software of measuring equipment, did not always provide consistent or direct results when textures with relatively large valleys were carefully examined.