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

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.

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Publication Details

Journal
Precision Engineering
Published
2024-09-10
DOI
https://doi.org/10.1016/j.precisioneng.2024.09.008
Citations
7
Primary Topic
Metal Forming Simulation Techniques
Type
article
Field-Weighted Citation Impact
1.49

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article

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

Przemysław Podulka, Robert Owsiński, Jarosław Trembacz, Wojciech Macek et al.
7 citations
Precision Engineering
Metal Forming Simulation Techniques
1.49
article

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

Przemysław Podulka, Robert Owsiński, Jarosław Trembacz, Wojciech Macek, Ricardo Branco
article en
7 citations

Abstract

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.

Precision EngineeringVol. 91
Rzeszów University of Technology (PL), Opole University of Technology (PL), Gdańsk University of Technology (PL), University of Coimbra (PT)
Fundação para a Ciência e a Tecnologia
Climate action
Openalex Percentile: Top 20%
Metal Forming Simulation Techniques
1.49
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