Study of etched surface topography with the compensation of contactless vibrational measurement errors DOI
Przemysław Podulka, Lucia Knapčíková, Rebeka Tauberová

et al.

Measurement, Journal Year: 2024, Volume and Issue: 242, P. 116218 - 116218

Published: Nov. 15, 2024

Language: Английский

The Smith-Watson-Topper parameter and fracture surface topography relationship for additively manufactured 18Ni300 steel subjected to uniaxial variable-amplitude loading DOI Creative Commons
Wojciech Macek, Zbigniew Marciniak, Grzegorz Lesiuk

et al.

Theoretical and Applied Fracture Mechanics, Journal Year: 2024, Volume and Issue: 133, P. 104607 - 104607

Published: Aug. 6, 2024

In this paper, the association between Smith-Watson-Topper (SWT) parameter and fracture surface topography is studied in additively manufactured maraging steel exposed to variable-amplitude fatigue loading. The post-failure surfaces were examined using a non-contact 3D measuring system entire method. focal point on correspondence characteristics, articulate by SWT parameter, features, represented areal, volume, fractal dimension parameters. A life prediction model based factors proposed. presented expresses good compliance with test results. This can be useful for post-mortem analysis of engineering elements under loading fatigue, especially materials produced additive manufacturing (AM).

Language: Английский

Citations

7

Laser-textured cross-hatched surface topography analysis with evaluation of high-frequency measurement noise DOI Creative Commons
Przemysław Podulka, Wojciech Macek, Ricardo Branco

et al.

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

Citations

5

Evaluation of High-Frequency Measurement Errors from Turned Surface Topography Data Using Machine Learning Methods DOI Open Access
Przemysław Podulka, Monika Kulisz, Katarzyna Antosz

et al.

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

Citations

4

Fatigue crack growth rate under mixed-mode loading conditions (I+III) of a carbide-free bainitic steel designed for rail applications DOI Creative Commons
Aleksandra Królicka, Dariusz Rozumek, Grzegorz Lesiuk

et al.

Theoretical and Applied Fracture Mechanics, Journal Year: 2024, Volume and Issue: unknown, P. 104683 - 104683

Published: Sept. 1, 2024

Language: Английский

Citations

4

In-situ investigation of quasi-static fracture processes and micro-deformation fields in artificial rock DOI
Jianping Zuo, Ying Li

Construction and Building Materials, Journal Year: 2025, Volume and Issue: 459, P. 139815 - 139815

Published: Jan. 1, 2025

Language: Английский

Citations

0

Accurate dimensional characterization of the textured inner surface of the bearing bushing by the mean of a new measurement instrument DOI
Tomasz Żochowski, Artur Olszewski, Michel Fillon

et al.

Measurement, Journal Year: 2025, Volume and Issue: 250, P. 117068 - 117068

Published: Feb. 26, 2025

Language: Английский

Citations

0

Measurement Technique Comparison in the Entire Fracture Surface Topography Assessment for Additively Manufactured Materials DOI Open Access
Dawid Zieliński, Aleksandra Laska, Przemysław Podulka

et al.

Materials, Journal Year: 2025, Volume and Issue: 18(6), P. 1355 - 1355

Published: March 19, 2025

This paper focuses on comparing the three microscopic measurement techniques, confocal, focus variation, and point for focus, evaluation of entire fracture surface topographies. The measurements were performed using a Sensofar S Neox 3D optical profilometer Mitutoyo QV Apex 302 vision measuring system. test specimens required printed through laser powder bed fusion (LPBF) technology two materials: Stainless Steel 316L Inconel 718. printing was with power 200 W, scanning speed 800 mm/s, layer thickness 30 µm or 50 µm. differences analyzed basis void volume (Vv), fractal dimension (Df), texture isotropy parameters, as well general view topography. obtained results did not show comprehensible difference between applied techniques particular specimens. Thus, both devices can be used to precisely measure dimensions LPBF-processed method.

Language: Английский

Citations

0

Fatigue life assessment of Q345 steel fillet welded joints with competitive failure modes DOI
Shuo Weng, Chao Meng, Jiahui Deng

et al.

Engineering Fracture Mechanics, Journal Year: 2024, Volume and Issue: 298, P. 109913 - 109913

Published: Feb. 5, 2024

Language: Английский

Citations

2

Roughness measurement results evaluation of 6082 aluminium alloy specimens after fatigue bending tests DOI Creative Commons
Przemysław Podulka, Wojciech Macek, Robert Owsiński

et al.

Precision Engineering, Journal Year: 2024, Volume and Issue: 91, P. 77 - 94

Published: Sept. 10, 2024

Language: Английский

Citations

2

Investigating the Effect of Nanosecond Laser Surface Texturing on Microstructure and Mechanical Properties of AISI 301LN DOI Creative Commons
Mohammad Rezayat, Hossein Besharatloo, A. Mateo

et al.

Metals, Journal Year: 2023, Volume and Issue: 13(12), P. 2021 - 2021

Published: Dec. 17, 2023

This study explores pulsed Nd:YLF laser surface modification (LSM) effects on AISI 301LN stainless steel. Laser-treated surfaces underwent SEM characterization, revealing patterns and irregularities. Higher heat input showed significant microstructural changes, while lower experienced less alteration. Increased spot overlap led to larger exposed areas higher input, influencing groove width, depth, roughness. Three-dimensional reconstructions illustrated the correlation between parameters characteristics. XRD (X-ray diffraction analysis) EBSD (Electron backscatter diffraction) analyses revealed a transformation from austenite martensite, with an increase in α’-martensite phase, particularly high power, attributed rapid cooling during modification. Grain size analysis indicated 42% reduction post-treatment, enhancing fraction of fine grains. Hardness measurements demonstrated overall laser-treated samples, linked fine-grained microstructure formation, induced residual stresses, α’-martensitic phase.

Language: Английский

Citations

6