RESEARCH PAPER
Fast Fourier Transform detection and reduction of high-frequency errors from the results of surface topography profile measurements of honed textures
1
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
HIGHLIGHTS
- 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.
KEYWORDS
surface topographymeasurementmeasurement errorsmeasurement noisecylinder lineroil pocketdimplevalleytexture features
ABSTRACT
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.
REFERENCES (45)
1.
Creath K, Wayant JC. Absolute measurement of surface roughness. Applied Optics 1990; 29(26): 3823-3827, https://doi.org/10.1364/AO.29.....
2.
Dagnall H. Exploring Surface Texture. Rank Taylor Hobson Limited, Leicester, UK, 1986.
3.
De Groot P, DiSciacca J. Surface-height measurement noise in interference microscopy. In: Proceedings of SPIE 10749, Interferometry XIX, 2018, 107490Q-7, https://doi.org/10.1117/12.232....
4.
De Groot P. The meaning and measure of vertical resolution in optical surface topography measurement. Applied Sciences 2017; 7(1): 54, https://doi.org/10.3390/app701....
5.
Dong W, Ding H. Full frequency de-noising method based on wavelet decomposition and noise-type detection. Neurocomputing 2016; 214: 902-909, https://doi.org/10.1016/j.neuc....
6.
Dzierwa A, Galda L, Tupaj M, Dudek K. Investigation of wear resistance of selected materials after slide burnishing process. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2020; 22(3): 432-439, https://doi.org/10.17531/ein.2....
7.
Gomez C, Su R, Thompson A, DiSciacca J, Lawes S, Leach R K. Optimisation of surface measurement for metal additive manufacturing using coherence scanning interferometry. Optical Engineering 2017; 56(11): 111714, https://doi.org/10.1117/1.OE.5....
8.
Haitjema H, Morel M A A. Method for approximate noise elimination in form and roughness measurements. In: Proceedings of SPIE 2003; 5190: 203-210.
9.
Haitjema H. Uncertainty in measurement of surface topography. Surface Topography: Metrology and Properties 2015; 3(3): 035004, https://doi.org/10.1088/2051-6....
10.
Hart M, Vass D G, Begbie M L. Fast surface profiling by spectral analysis of white-light interferograms with Fourier transform spectroscopy. Applied Optics 1998; 37(10): 1764-1769, https://doi.org/10.1364/AO.37.....
11.
He Y F, Tang J Y, Zhou W, Liao D R. Research on the obtainment of topography parameters by rough surface simulation with fast Fourier transform. Journal of Tribology-Transactions of the ASME 2015; 137(3): 031401, https://doi.org/10.1115/1.4029....
12.
ISO 2016 25178-600 Geometrical product specification (GPS) - Surface texture: Areal Part 600: Metrological characteristics for arealtopography measuring methods.
13.
ISO 25178-3:2012 Geometrical product specifications (GPS) – Surface texture: Areal – Part 3: Specification operators.
14.
ISO 25178-605 Geometrical product specification (GPS) – Surface Texture: Areal – Part 605: Nominal characteristics of non-contact (point autofocus probe) instruments, First Edition 2004.
15.
Itoh T, Yamauchi N. Surface morphology characterisation of pentacene thin film and its substrate with under-layers by power spectral density using fast Fourier transform algorithms. Applied Surface Science 2007; 253(14): 6196-6202, https://doi.org/10.1016/j.apsu....
16.
Kiselev I, Kiselev E I, Drexel M, Hauptmannl M. Noise robustness of interferometric surface topography evaluation methods. Correlogram correlation. Surface Topography: Metrology and Properties 2017; 5(4): 045008, https://doi.org/10.1088/2051-6....
17.
Kubiak K J, Wilson M C T, Mathia T G, Carval Ph. Wettability versus roughness of engineering surfaces. Wear 2011; 271(3–4): 523-528, https://doi.org/10.1016/j.wear....
18.
Lin C S, Yang S W, Lin H L, Li J W. Measurement of surface profile and surface roughness of fibre-optic interconnect by fast Fourier transform. Metrology and Measurement Systems 2017; 24(2): 381-390, https://doi.org/10.1515/mms-20....
19.
Liu S B, Wang Q. Studying contact stress fields caused by surface tractions with a discrete convolution and fast Fourier Transform algorithm. Journal of Tribology-Transactions of the ASME 2002; 24(1): 36-45, https://doi.org/10.1115/1.1401....
20.
Magdziak M, Wdowik R. Coordinate Measurements of Geometrically Complex Ceramic Parts. Applied Mechanics and Materials 2014; 627:172–176, https://doi.org/10.4028/www.sc....
21.
Marinescu I D, Rowe W B, Dimitrov B, Ohmori H. Tribology of Abrasive Machining Processes. 2nd Edition. William Andrew Publishing, Norwich, NY, 2013, https://doi.org/10.1016/C2010-....
22.
Pawlus P, Reizer R, Wieczorowski M. Comparison of results of surface texture measurement obtained with stylus methods and optical methods. Metrology and Measurement Systems 2018; 25(3): 589–602, https://doi.org/10.24425/12389....
23.
Pawlus P. Digitisation of surface topography measurement results. Measurement 2007; 40(6): 672-686, https://doi.org/10.1016/j.meas....
24.
Pawlus P. The errors of surface topography measurement using stylus instruments. Metrology and Measurement Systems 2002; 9(3): 273-289.
25.
Płonka S, Zaborski A. Operational wear of the neck of spindle coating in cooperation with yarn. Eksploatacja i Niezawodnosc - Maintenance and Reliability 2015; 17(4): 496–503, https://doi.org/10.17531/ein.2....
26.
Podulka P. Bisquare robust polynomial fitting method for dimple distortion minimisation in surface quality analysis. Surface and Interface Analysis 2020; 52(12) 875–881, https://doi.org/10.1002/sia.67....
27.
Podulka P. Comparisons of envelope morphological filtering methods and various regular algorithms for surface texture analysis. Metrology and Measurement Systems 2020; 27(2): 243-263, https://doi.org/0.24425/mms.20....
28.
Podulka P. Edge-area form removal of two-process surfaces with valley excluding method approach. MATEC web of conferences 2019; 252: 05020, https://doi.org/10.1051/matecc....
29.
Podulka P. Proposal of Frequency-Based Decomposition Approach for minimisation of errors in surface texture parameter calculation. Surface and Interface Analysis 2020; 52(12) 882–889, https://doi.org/10.1002/sia.68....
30.
Podulka P. The effect of valley depth on areal form removal in surface topography measurements. Bulletin of the Polish Academy of Sciences. Technical Sciences 2019; 67(2): 391-400, https://doi.org/10.24425/bpas.....
31.
Podulka P. The effect of valley location in two-process surface topography analysis. Advances in Science and Technology Research Journal 2018; 12(4): 97-102, https://doi.org/10.12913/22998....
32.
Raja J, Muralikrishnan B, Fu S. Recent advances in separation of roughness, waviness and form. Precision Engineering 2002; 26(2): 222-235, https://doi.org/10.1016/S0141-....
33.
Raja J, Radhakrishnan V. Filtering of surface profiles using fast Fourier transform. International Journal of Machine Tools & Manufacture 1979; 19: 133–141, https://doi.org/10.1016/0020-7....
34.
Rhee H G, Vorburger T V, Fu J, Renegar T B, Song J F. Comparison of roughness measurements obtained with optical and stylus techniques. Proceedings of the 10th International Conference on Metrology and Properties of Engineering Surfaces, Saint-Etienne, France, 2005, pp. 39–47.
35.
Sainsot P, Lubrecht A A. Efficient solution of the dry contact of rough surfaces: a comparison of fast Fourier transform and multigrid methods. Proceedings of the Institution of Mechanical Engineers, Part J: Journal of Engineering Tribology 2011; 225(6): 441-448, https://doi.org/10.1177/135065....
36.
Schmehl R, Nebeker B M, Hirleman E D. Discrete-dipole approximation for scattering by features on surfaces by means of a two-dimensional fast Fourier transform technique. Journal Of The Optical Society Of America A-Optics Image Science And Vision 1997; 14(11): 3026-3036, https://doi.org/10.1364/JOSAA.....
37.
Thomas T R. Rough Surfaces. Second Edition, Imperial College Press, London, 1999.
38.
Tien C L, Yang H M, Liu M C. The measurement of surface roughness of optical thin films based on fast Fourier transform. Thin Solid Films 2009; 517(17): 5110–5115, https://doi.org/10.1016/j.tsf.....
39.
Vo Q, Fang F, Zhang X, Gao H. Surface recovery algorithm in white light interferometry based on combined white light phase shifting and fast Fourier transform algorithms. Applied Optics 2017; 56(29): 8174-8185, https://doi.org/10.1364/AO.56.....
40.
Vorburger T V, Rhee H G,Renegar T B, Song J F, Zheng A. Comparison of optical and stylus methods for measurement of surface texture. The International Journal of Advanced Manufacturing Technology 2007; 33: 110–118, https://doi.org/10.1007/s00170....
41.
Wang C, D-Amato R, Gomez E. Confidence Distance Matrix for outlier identification A new method to improve the characterisations of surfaces measured by confocal microscopy. Measurement 2019; 137: 484-500, https://doi.org/10.1016/j.meas....
42.
Wang Y, Liu Y, Zhang G, Wang Y. A simulation method for non-Gaussian rough surfaces using Fast Fourier Transform and translation process theory. Journal of Tribology-Transactions of the ASME 2018; 140(2) 021403, https://doi.org/10.1115/1.4037....
43.
Wang Y, Yuan P, Ma J, Qian L. Scattering noise and measurement artifacts in a single-shot cross-correlator and their suppression. Applied Physics B 2013; 111: 501–508, https://doi.org/10.1007/s00340....
44.
Wdowik R, Magdziak M, Porzycki J. Measurements of surface roughness in ultrasonic assisted grinding of ceramic materials. Applied Mechanics and Materials 2014; 627: 191–196, https://doi.org/10.4028/www.sc....
45.
Zhang H, Yuan Y, Piao W. A universal spline filter for surface metrology. Measurement 2010; 43(10): 1575-1582, https://doi.org/10.1016/j.meas....
CITATIONS (17):
1.
Advances in Measurement and Data Analysis of Surfaces with Functionalized Coatings
Przemysław Podulka
Coatings
Przemysław Podulka
Coatings
2.
Suppression of the High-Frequency Errors in Surface Topography Measurements Based on Comparison of Various Spline Filtering Methods
Przemysław Podulka
Materials
Przemysław Podulka
Materials
3.
Improved Procedures for Feature-Based Suppression of Surface Texture High-Frequency Measurement Errors in the Wear Analysis of Cylinder Liner Topographies
Przemysław Podulka
Metals
Przemysław Podulka
Metals
4.
Application of image processing methods for the characterization of selected features and wear analysis in surface topography measurements
Przemysław Podulka
Procedia Manufacturing
Przemysław Podulka
Procedia Manufacturing
5.
The Effect of Surface Topography Feature Size Density and Distribution on the Results of a Data Processing and Parameters Calculation with a Comparison of Regular Methods
Przemysław Podulka
Materials
Przemysław Podulka
Materials
6.
Reduction of Influence of the High-Frequency Noise on the Results of Surface Topography Measurements
Przemysław Podulka
Materials
Przemysław Podulka
Materials
7.
Roughness Evaluation of Burnished Topography with a Precise Definition of the S-L Surface
Przemysław Podulka
Applied Sciences
Przemysław Podulka
Applied Sciences
8.
Selection of Methods of Surface Texture Characterisation for Reduction of the Frequency-Based Errors in the Measurement and Data Analysis Processes
Przemysław Podulka
Sensors
Przemysław Podulka
Sensors
9.
Proposals of Frequency-Based and Direction Methods to Reduce the Influence of Surface Topography Measurement Errors
Przemysław Podulka
Coatings
Przemysław Podulka
Coatings
10.
Surface Metrology Based on Scanning Conoscopic Holography for In Situ and In-Process Monitoring of Microtexture in Paintings
Claudia Daffara, Sara Mazzocato
Sensors
Claudia Daffara, Sara Mazzocato
Sensors
11.
Thresholding Methods for Reduction in Data Processing Errors in the Laser-Textured Surface Topography Measurements
Przemysław Podulka
Materials
Przemysław Podulka
Materials
12.
Feature-Based Characterisation of Turned Surface Topography with Suppression of High-Frequency Measurement Errors
Przemysław Podulka
Sensors
Przemysław Podulka
Sensors
13.
Resolving Selected Problems in Surface Topography Analysis by Application of the Autocorrelation Function
Przemysław Podulka
Coatings
Przemysław Podulka
Coatings
14.
Reduction in Errors in Roughness Evaluation with an Accurate Definition of the S-L Surface
Przemysław Podulka, Wojciech Macek, Ricardo Branco, Reza Nejad
Materials
Przemysław Podulka, Wojciech Macek, Ricardo Branco, Reza Nejad
Materials
16.
Evaluation of high-frequency roughness measurement errors for composite and ceramic surfaces after machining
Przemysław Podulka, Wojciech Macek, Mirosław Szala, Andrzej Kubit, Kinkar Chandra Das, Grzegorz Królczyk
Journal of Manufacturing Processes
Przemysław Podulka, Wojciech Macek, Mirosław Szala, Andrzej Kubit, Kinkar Chandra Das, Grzegorz Królczyk
Journal of Manufacturing Processes
17.
Laser-textured cross-hatched surface topography analysis with evaluation of high-frequency measurement noise
Przemysław Podulka, Wojciech Macek, Ricardo Branco, Andrzej Kubit
Measurement
Przemysław Podulka, Wojciech Macek, Ricardo Branco, Andrzej Kubit
Measurement
Share
RELATED ARTICLE
| eISSN: | 2956-3860 |
| ISSN: | 1507-2711 |
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.
