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Fast Fourier Transform detection and reduction of high-frequency errors from the results of surface topography profile measurements of honed textures
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Faculty of Mechanical Engineering and Aeronautics, Rzeszow University of Technology, ul. Powstancow Warszawy 8, 35-959 Rzeszów, Poland
Publication date: 2021-03-31
Eksploatacja i Niezawodność – Maintenance and Reliability 2021;23(1):84-93
  • The approach for detection and reduction of selected measurement errors is presented.
  • Power spectral density and autocorrelation function are valuable in noise analysis.
  • For minimisation of effect of measurement errors the ‘noise surface’ is defined.
  • Profile analysis might be more valuable than areal when measurement noise is assessed.
  • Fast Fourier Transform is useful in definition of high-frequency measurement noise.
In this paper, various type of noise detection procedures with surface topography profile analysis were proposed, compared (studied) and suggested. The honed cylinder liner surface textures with additionally burnished oil pockets were measured with a stylus or optical approaches. Measurement errors, defined as high-frequency measurement noise, were taken into sufficient consideration. It was proposed to select the noise detection methods more with profile (2D) than areal (3D) assessments; some-frequency noise was much easier to observe in profile than surface analysis. Moreover, applications of various type of regular filtration methods, mostly based on Gaussian functions, were compared with Fast Fourier Transform filtration for detection or reduction of some (high) frequency-defined measurement errors.
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