Selection of Methods of Surface Texture Characterisation for Reduction of the Frequency-Based Errors in the Measurement and Data Analysis Processes

Sensors, Journal Year: 2022, Volume and Issue: 22(3), P. 791 - 791

Published: Jan. 20, 2022

Processes of surface texture characterisation can be roughly divided into measurement issues and analysis the results obtained. Both actions fraught with various errors, some which analysed frequency performance. In this paper, types topographies were studied, e.g., cylinder liners after plateau-honing process, plateau-honed additionally burnished dimples sizes (width depth), turned, milled, ground, laser-textured, ceramic, composite general isotropic topographies, respectively. They measured a stylus or via optical (white light interferometry) methods. frequency-based methods, proposed in often applied measuring equipment, power spectral density, autocorrelation function analysis. All methods supported by regular (commonly used) algorithms, filters (robust) Gaussian, median, spline Fast Fourier Transform performance, The main purpose paper was to use techniques for improvement detection reduction processes regarding influence high-frequency noise on measurements. It found that selected textures, profile (2D) gave more confidential than areal (3D) characterisation. therefore suggested detect remove frequency-defined errors multi-threaded performance application. end, guidance how following both (high-frequency noise) data required.

Language: Английский

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Evaluation of high-frequency roughness measurement errors for composite and ceramic surfaces after machining

Journal of Manufacturing Processes, Journal Year: 2024, Volume and Issue: 121, P. 150 - 171

Published: May 20, 2024

Precise characterisation of surface topography is the greatest importance since many factors directly affect accuracy whole measurement process. In this paper, variety topographies from machined composite and ceramic workpieces was studied with a special emphasis on results. Surfaces were subjected to ground diamond, honing milling processes. Measurement results analysed in terms application procedure for removal high-frequency noise. Bandwidth characteristics supported by studies autocorrelation power spectral functions. It found, that examination noisy data, especially its isotropic properties, crucial enhancement noise-removal methods. The proposed validated through direction profile characterisation. spline filtering technique 7.5 μm cut-off encouraged against other generally used techniques reduction noise considering study based spectral, methodology comparing it averaged 3 time repeated measurements surfaces after machining. main advantage proposal reducing data processing due fast easy-to-implement usage general analysis functions, available commercial software measuring instrument.

Language: Английский

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Reduction in Errors in Roughness Evaluation with an Accurate Definition of the S-L Surface

Materials, Journal Year: 2023, Volume and Issue: 16(5), P. 1865 - 1865

Published: Feb. 24, 2023

Characterization of surface topography, roughly divided into measurement and data analysis, can be valuable in the process validation tribological performance machined parts. Surface especially roughness, respond straightly to machining and, some cases, is defined as a fingerprint manufacturing. When considering high precision topography studies, definition both S-surface L-surface drive many errors that influence analysis accuracy manufacturing process. Even if precise measuring equipment (device method) provided but received are processed erroneously, still lost. From matter, S-L roughness evaluation allowing reduction rejection properly made In this paper, it was proposed how select an appropriate procedure for removal L- S- components from raw measured data. Various types topographies were considered, e.g., plateau-honed (some with burnished oil pockets), turned, milled, ground, laser-textured, ceramic, composite, generally, isotropic. They different (stylus optical) methods, respectively, parameters ISO 25178 standard also taken consideration. It found commonly used available commercial software methods helpful surface; its usage requires response (knowledge) users.

Language: Английский

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Topography measurement methods evaluation for entire bending-fatigued fracture surfaces of specimens obtained by explosive welding

Measurement, Journal Year: 2023, Volume and Issue: 224, P. 113853 - 113853

Published: Nov. 13, 2023

In this paper, the methods of compensation differences in results entire bending-fatigued fracture surface topographies were presented. The roughness evaluation was performed with a focus variation microscope and confocal topography measurement techniques. ISO 25178 parameters investigated procedures for their studied. It found that various types optical measurements can cause errors occurring process, such as outliers, noise. reduction be attained when are compensated. For study, applications general available commercial software suitable improvements results, raw data thresholding technique, digital filtering (S-filter), power spectral density, autocorrelation function analyses. validation techniques proposed areal profile studies, including analysis calculation parameters.

Language: Английский

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Roughness evaluation of turned composite surfaces by analysis of the shape of autocorrelation function

Measurement, Journal Year: 2023, Volume and Issue: 222, P. 113640 - 113640

Published: Sept. 30, 2023

In this paper, the application of an Autocorrelation Function for characterisation surface topography was validated. The roughness evaluation turned composite surfaces supported by sophisticated studies properties, considering especially shape function. Details were measured with optical method. selection procedures carried out based on both profile and areal analyses. Moreover, various types regular analysis methods, proposed in commercial software, like Gaussian regression robust functions, median de-noising, isotropic Spline, fast Fourier transform filters, parameters from ISO 25178 standards. It found that many common techniques, commonly used spectral analysis, texture direction, studies. hard thresholding technique to be valuable comprehensive noise-suppression analysis.

Language: Английский

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

Measurement, Journal Year: 2024, Volume and Issue: 235, P. 114988 - 114988

Published: May 23, 2024

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

Language: Английский

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Acoustic Metamaterials for Low-Frequency Noise Reduction Based on Parallel Connection of Multiple Spiral Chambers

Materials, Journal Year: 2022, Volume and Issue: 15(11), P. 3882 - 3882

Published: May 29, 2022

Acoustic metamaterials based on Helmholtz resonance have perfect sound absorption characteristics with the subwavelength size, but bandwidth is narrow, which limits practical applications for noise control broadband. On basis of Fabry-Perot principle, a novel absorber acoustic metamaterial by parallel connection multiple spiral chambers (abbreviated as MSC-AM) proposed and investigated in this research. Through theoretical modeling, finite element simulation, sample preparation experimental validation, effectiveness practicability MSC-AM are verified. Actual coefficients frequency range 360-680 Hz (with Δf1 = 320 Hz) larger than 0.8, exhibit extraordinarily low-frequency performance. Moreover, actual above 0.5 350-1600 Δf2 1250 Hz), achieve broadband low-middle range. According to various demands, structural parameters can be adjusted flexibly realize customization bandwidth, provides way design improve reduce bands has promising prospects application absorption.

Language: Английский

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Evaluation of High-Frequency Measurement Errors from Turned Surface Topography Data Using Machine Learning Methods

Materials, Journal Year: 2024, Volume and Issue: 17(7), P. 1456 - 1456

Published: March 22, 2024

Manufacturing processes in industry applications are often controlled by the evaluation of surface topography. Topography, its overall performance, includes form, waviness, and roughness. Methods measurement roughness can be roughly divided into tactile contactless techniques. The latter ones much faster but sensitive to external disturbances from environment. One type source error, while topography occurs, is a high-frequency noise. This noise originates vibration measuring system. In this study, methods for reducing errors results measurements turned surfaces were supported machine learning methods. research delves optimizing filtration through application models, focusing on enhancing accuracy assessments. By examining under specific machining conditions employing variety digital filters, study identifies Gaussian regression filter spline as most effective at 22.5 µm cut-off. Utilizing neural networks, support vector machines, decision trees, demonstrates superior performance SVMs, achieving remarkable sensitivity predicting optimal

Language: Английский

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Fracture surface topography measurements analysis of low-alloyed corrosion resistant steel after bending-torsion fatigue tests

Precision Engineering, Journal Year: 2024, Volume and Issue: 89, P. 296 - 316

Published: July 6, 2024

Language: Английский

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Thresholding Methods for Reduction in Data Processing Errors in the Laser-Textured Surface Topography Measurements

Materials, Journal Year: 2022, Volume and Issue: 15(15), P. 5137 - 5137

Published: July 24, 2022

There are many factors influencing the accuracy of surface topography measurement results: one them is vibrations caused by high-frequency noise occurrence. It extremely difficult to extract results defined as from real measured data, especially application various methods requiring skilled users and, additionally, improper use software may cause errors in data processing. Accordingly, thresholding for minimization raw processing were proposed and compared with commonly used (available commercial software) techniques. Applied procedures parameters (from ISO 25178 standard) calculation after removal reduction, respectively, (S-filter). Methods applied analysis laser-textured surfaces a comparison regular methods, previously measuring equipment. was found that algorithms can be suitable when selected provided. Moreover, both process reduced support procedures. From applied, (regular Gaussian regression filter, robust spline filter fast Fourier transform filter), most encouraging obtained reduction details supported approach.

Language: Английский

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