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Laser-textured cross-hatched surface topography analysis with evaluation of high-frequency measurement noise

Abstract

The precision of surface roughness determination using ISO 25178 parameters relies on various factors that directly impact the measurement process. In industry applications, the contactless roughness measurement reduces data collection time. However, it introduces several potential errors, including those stemming from the environment. One of the main types of errors encountered during topography analysis is measurement noise, which arises from different external disturbances. High-frequency noise is particularly studied as a result of vibration. In the present study, the laser-texture cross-hatched surface topographies were analysed using the results obtained from white light interference measurements. Measurement noise was defined based on noisy data, also called noise surface, which is the result of filter decomposition methods. This data separation technique was supported with power spectral analysis, autocorrelation function applications and texture direction characterisation. It was suggested to conduct a comprehensive study of the noisy data to enhance the understanding of texturing direction. Various data filtration techniques were studied, namely robust Gaussian, spline, fast Fourier transform and morphological closing-opening filters. The results of the proposed procedure were validated against variations in the values of ISO 25178 surface texture parameters. Validating the proposed approach, the variations of noise-sensitive surface texture parameters were compared to the variations of the same parameters but received by averaging three repeated measurements, as proposed by international standards. The main advantage of the proposed method against standards procedure was reducing the time of data collection when the measurement must be repeated and averaged. In conclusion, a method for reducing high-frequency measurement noise was introduced through the application of the proposed procedure.

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Details

Category:
Articles
Type:
artykuły w czasopismach
Published in:
MEASUREMENT no. 235,
ISSN: 0263-2241
Language:
English
Publication year:
2024
Bibliographic description:
Podulka P., Macek W., Branco R., Kubit A.: Laser-textured cross-hatched surface topography analysis with evaluation of high-frequency measurement noise// MEASUREMENT -Vol. 235, (2024), s.114988-
DOI:
Digital Object Identifier (open in new tab) 10.1016/j.measurement.2024.114988
Sources of funding:
  • COST_FREE
Verified by:
Gdańsk University of Technology

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