Abstract

In this paper, the influence of occurrence of surface texture features on the values of surface topography parameters calculated after the application of various data processing techniques was presented. Different types of surface topographies were considered, as follows: cylinder liners, some with additionally burnished dimples, turned, ground, milled, laser-textured, composite, ceramic, or isotropic in general. The effects of feature size on the areal form removal, noise suppressions, or end-effect reducing in surface texture measurements were studied. The variations of the ISO 25178 standard surface topography parameters were taken into consideration in detail. It was assumed that some of the feature sizes, distributions, and densities have a substantial impact on the values of surface topography parameters calculated after applications of regular (commonly used) algorithms and procedures, defined as basic operations, provided for raw surface texture data obtained directly from the measurement process. In the end, some of the practical applications for receiving the relevant values of surface topography parameters were proposed.

Highlights

  • Density and Distribution on the Keywords: surface topography; areal form removal; noise suppressions; end-effect; surface topography features; valleys; dimples; oil pockets

  • Available in the commercial software, algorithms and procedures, e.g., Power Spectral Densities (PSD), Autocorrelation Function (ACF), or filters such as ISO preferred Gaussian regression or robust filter, moving average, median or wavelet can be valuable in the definition of the S-F surface

  • F-filtering and S-filtering, can be provided with regular, commercial procedures without alternative, external methods; special attention to the results obtained should be paid; For defining the process of an areal form removal, particular attention must be paid to the minimization of a distortion of a selected surface topography features

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Summary

Measurement Process

The studied details were measured by various techniques, stylus or optical. Some of the measurement was provided by the stylus instrument Talyscan 150 with a nominal tip radius of about 2 μm, height resolution about 10 nm, and the measured area 5 by 5 mm (1000 × 1000 measured points). The influence of the sampling on the values of areal texture parameters was not studied in this paper. In both cases, the measurement was repeated 3 times, and the mean values were considered. The following ST parameters, from the ISO 25178 standard, were measured and analyzed: root mean square height Sq, skewness Ssk, kurtosis Sku, maximum peak height. Maximum valley depth Sv, the maximum height of surface Sz, arithmetic mean height. Autocorrelation length Sal, texture parameter Str, texture direction Std, root mean square gradient Sdq, developed interfacial areal ratio Sdr, peak density Spd, arithmetic mean peak curvature Spc, core roughness depth Sk, reduced summit height Spk, reduced valley depth. Surface bearing index Sbi, core fluid retention index Sci, and valley fluid retention index Svi

Analyzed Surfaces
Procedures for an Areal form Removal
Algorithms and Approaches for Characterizations of the High-Frequency Errors
Procedures
Reducing the Influence of an End-Effect in the Analysis of Surface Topography
Analysis of the High-Frequency Measurement Errors
Reduction in the High-Frequency Errors with a Modeled Data Analysis
Proposals of High-Frequency Noise Suppressions with Measured Data Studies
Conclusions
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