Conditions of the Presence of Bimodal Amplitude Distribution of Two-Process Surfaces

Pawlus, Paweł; Reizer, Rafał; Wieczorowski, Michał

doi:10.3390/ma13184037

Cited by 6 publications

(4 citation statements)

References 41 publications

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“…The values of skewness (0.4) and kurtosis (2.28) of the milled surface are typical for textures after cutting. In addition, the probability distribution of the milled surface is two-modal [35,36]. From the analysis of values of skewness and kurtosis and from the analysis of probability distributions of the analyzed textures (Figure 3), one can conclude that surfaces after burnishing are random, of the ordinate distributions similar to Gaussian, while the milled surface is deterministic.…”

Section: Surface Texture Analysis Of Disc Samples Before Tribological Testsmentioning

confidence: 91%

The Influence of Ball Burnishing on Friction in Lubricated Sliding

Świrad

Pawlus

2020

Materials

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Ball burnishing treatment, using the Ecoroll system, of steel samples was conducted. In the experiment, the burnishing pressure was changed. After the treatments, measurements of the surface topographies of disc samples were conducted using a white light interferometer Talysurf CCI Lite. Tribological tests were carried out in a ball-on-disc configuration. After these tests, measurements of surface topographies of disc samples were repeated. Worn surfaces were also analyzed with a scanning electron microscope. It was found that as the result of burnishing, surface topography height of tested samples decreased. Ball burnishing led to a reduction in the frictional resistance. The highest friction reduction of more than 40% was achieved with a burnishing pressure of 20 MPa.

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Section: Surface Texture Analysis Of Disc Samples Before Tribological Testsmentioning

confidence: 91%

The Influence of Ball Burnishing on Friction in Lubricated Sliding

Świrad

Pawlus

2020

Materials

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“…However, the probability height distribution of two-process surfaces is rarely bimodal. In [ 107 ] the limiting conditions of the bimodal height probability distribution of the two-process surfaces were developed. When the Smq parameter is greater than 50%, a unimodal amplitude distribution occurs.…”

Section: Measurement and Characterization Of Two-process Random Surfacesmentioning

confidence: 99%

Two-Process Random Textures: Measurement, Characterization, Modeling and Tribological Impact: A Review

2021

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Two-process random textures seem to present better functional properties than one-process surfaces. There are many random two-process textures. Plateau-honed cylinder surfaces are the most popular example. Two-process surfaces are also created during the initial periods of life of machined elements. However, knowledge about two-process textures measurement, modeling, and behavior is low. Two-process surfaces are very sensitive to measurement errors. It is very difficult to model them. Special methods of their characterization were created. Their functional significance was studied in a small number of publications. In this paper, measurement, characterization, and modeling of two-process textures were presented. The functional impact of them was analyzed, the effects on contact mechanics and friction and wear were mainly studied. Finally, considerations of future challenges were addressed. The nature of two-process random textures should be taken into account during analyses of properties of machined elements. The plateau part decides about the asperity contact, and the valley portion governs the hydrodynamic lubrication.

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“…To verify the accuracy of the lognormal distribution characterization model, the characterization model was used to calculate the distribution of the normal declination angle. The results were compared with the normal distribution characterization model [23], Beckmann distribution characterization model [24], and exponential distribution characterization model [25].…”

Section: Model Validation and Error Analysismentioning

confidence: 99%

Characterization of Machined Surface Topography Based on the Normal Declination Angle of Microfacets

et al. 2021

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It is important to characterize surface topography in order to study machined surface characteristics. Due to the features of periodicity and randomness of machined surface topography, the existing topographical parameters may not describe its features accurately. A novel characterization method called the normal declination angle of microfacet-based surface topography is thus proposed for this task. The topography of machined surfaces is measured and the data on the normal declination angle are obtained. Then, surface topography is analyzed via the distribution of the normal declination angle. The lognormal distribution characterization model of machined surface topography is established, and the accuracy of the model is verified by error analysis. The results show that the calculated results of the present characterization model are generally consistent with the distribution of the normal declination angle, where the maximal root mean square errors (RMSE) is 4.5%. Therefore, this study may serve as an effective and novel way to describe the characteristics of the machined surface topography.

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Conditions of the Presence of Bimodal Amplitude Distribution of Two-Process Surfaces

Cited by 6 publications

References 41 publications

The Influence of Ball Burnishing on Friction in Lubricated Sliding

The Influence of Ball Burnishing on Friction in Lubricated Sliding

Two-Process Random Textures: Measurement, Characterization, Modeling and Tribological Impact: A Review

Characterization of Machined Surface Topography Based on the Normal Declination Angle of Microfacets

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