Roughness measurement results evaluation of 6082 aluminium alloy specimens after fatigue bending tests

• Published in: Precision engineering Vol. 91; pp. 77 - 94
• Main Authors: Podulka, Przemysław, Macek, Wojciech, Owsiński, Robert, Branco, Ricardo, Trembacz, Jarosław
• Format: Journal Article
• Language: English
• Published: Elsevier Inc 01.12.2024
• Subjects: 6082 aluminium alloy; Fatigue bending; Focus variation microscopy; High-frequency noise; Measurement errors; Roughness; Surface topography; Measurement errors; Fatigue bending; Roughness; Surface topography; Focus variation microscopy; 6082 aluminium alloy; High-frequency noise
• ISSN: 0141-6359
• DOI: 10.1016/j.precisioneng.2024.09.008

In this paper, the topography of 6082 aluminium alloy specimens after fatigue bending tests was studied with a comprehensive evaluation of measurement noise caused by vibration. Roughness results were acquired by contactless Focus Variation Microscopy (FVM). Studied data were pre-processed, removing the non-measured points and outliers with regular methods, respectively, and high-frequency noise was considered. The variations in ISO 25178 roughness parameters were studied. Based on the previous studies, it was found that surfaces after fatigue bending tests can be difficult to consider when analyzing the measurement noise in a selected bandwidth. Some advantages of profile data extraction in selected directions, like horizontal, vertical or crack, were found deficient, even in studies by various functions, like autocorrelation, power spectral density, or texture direction ratio. When noise suppression methods depend on the details studied, boundary areas were extracted to compare and highlight the presence of high-frequency data characteristics. The proposed method was validated when contrasting standardised Gaussian or median filtering techniques with the spline filtering approach. A proper filter for the reduction of vibrational noise from the results of FVM topography measurements was suggested based on the proposed procedure. Finally, it was proposed how use the new method for reducing errors caused by high-frequency measurement noise in the surface topography of specimens after fatigue bending tests. •The surfaces of 6082 aluminium alloy specimens after fatigue tests were characterised.•The surface topography was measured by the focus variation microscopy (FVM) technique.•High-frequency noise removal methods were supported by specified profile data extraction.•The improvement in measurement noise reduction was received by boundary areas studies.•The accuracy of the ISO 25178 parameter analysis can be improved by the proposed method.