Rough Surface Characterization Parameter Set and Redundant Parameter Set for Surface Modeling and Performance Research

Yang, Duo; Tang, Jinyuan; Xia, Fujia; Zhou, Wei

doi:10.3390/ma15175971

Cited by 7 publications

(4 citation statements)

References 34 publications

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“…Several 3D surface roughness parameters, as defined in the standard of ISO 25178 [34,35], are calculated and listed in table 2, including root mean square height Sq, maximum height Sz, arithmetical mean height Sa, and developed interfacial area ratio Sdr. The root mean square heights of the M106H, M256D and M298K seal rings are 1.272 μm, 0.8766 μm and 2.354 μm, respectively.…”

Section: Resultsmentioning

confidence: 99%

Evaluation on frictional performance of three different oil-lubricated impregnated graphite seal rings for aircraft integrated drive generators

Qi,

Wang,

Zhang

et al. 2023

Mater. Res. Express

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The frictional performance of the shaft-end graphite seal rings plays a critical role in determining the maintenance-free duration of aircraft integrated drive generators, and significantly depends on the types of graphite materials used. In this study, three types of graphite materials, including epoxy resin, metal antimony and furan resin impregnated ones, were selected for evaluation using a rotating-type tribometer. The frictional test configuration involved an actual graphite seal ring sliding against the surface of a 12Cr2Ni4A disc under the lubrication of 4050 high-temperature synthetic aerospace lubricating oil, which was highly consistent with the practical operational conditions. The frictional performance of the three different impregnated graphite seal rings, including coefficient of friction, two-dimensional (2D)/three-dimensional (3D) morphologies of wear marks and wear rate of ring mass, were quantitatively analyzed and compared. The experimental results indicated that the metal antimony-impregnated graphite seal ring behaved with the smallest coefficient of friction among the three seal rings. 2D and 3D surface roughness parameters of the metal antimony impregnated graphite seal are the smallest. The wear rate of the seal ring’s mass is only approximately 22% of that of furan resin impregnated seal ring. The corresponding investigations demonstrated that the currently employed epoxy resin-impregnated graphite seal rings could be replaced by new candidates with better frictional performance to improve the service life.

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Section: Resultsmentioning

confidence: 99%

Evaluation on frictional performance of three different oil-lubricated impregnated graphite seal rings for aircraft integrated drive generators

Qi,

Wang,

Zhang

et al. 2023

Mater. Res. Express

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“…The main approaches to developing a model focus on the theory of cutting, experimental modeling, and, more recently, artificial intelligence [24]. The theory of cutting is applied in situations where there is a comprehensive understanding of the process.…”

Section: Surface Measurement and Discussionmentioning

confidence: 99%

Surface Characterization of Metallic Materials in the Case of the Turning Process of NiTi Alloy

Zawada-Tomkiewicz,

Tomkiewicz

2024

Materials

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A study was made of the machinability of NiTi alloy in turning, under conditions resulting in a small cutting layer. The experiment involved cutting with variable feeds ranging from 0.01 to 0.1 mm/rev. The cutting conditions were carefully chosen, considering the rounding radius of the cutting edge. The machined surface was examined and measured in 3D using a confocal microscope and in 2D with a contact profilometer. These measurements were used to estimate hmin, leading to the development of a surface formation model that considers both the lateral material flow due to hmin and the lateral material flow due to altered thermodynamic conditions from the previous blade pass. A method for evaluating the surface and selecting its characteristics was proposed based on analyses derived directly from surface features: PCA (Principal Component Analysis) and EMD (Empirical Mode Decomposition) with the Hilbert transform (Hilbert–Huang transform). PCA analysis facilitated the examination of individual surface component variances, while analysis of the IMF components enabled the assessment of surface component energy combined with instantaneous frequencies.

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“…Surface morphology usually characterizes the micro-geometric characteristics of the surface, and it is becoming increasingly important in manufacturing industry today. Rough surface morphology has a great influence on the service properties of the surface, such as friction [1], wear [2], lubrication [3], contact [4][5][6][7], fatigue resistance [8],…”

Section: Introductionmentioning

confidence: 99%

A new method of layered superposition reconstruction modeling on grinding-shot peening surfaces

Tang¹,

Chen²,

Yang³

et al. 2022

Surf. Topogr.: Metrol. Prop.

Self Cite

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Shot peening for semi-finished or finished parts is a high-performance precision manufacturing process, and the final micro-surface morphology has layered superposition features, that is, the original surface features and shot peening features coexist on the part surface. The existing layered superposition theory is based on the idea that the surface is superimposed under different baselines, but it cannot characterize the two-process surface where the characteristic baseline cannot be separated after shot peening. To solve this problem, a new layered surface superposition modeling method is proposed in this paper with the grinding-shot peening surface as the research object. In this method, the main texture features of the grinding surface are extracted by B-spline surface fitting, and the spatial distribution of craters in the shot peening surface is adjusted by this texture feature. The initial profile of the grinding-shot peening surface is constructed according to the Pawlus superposition theory, and its height parameters are adjusted by the time-frequency iteration method. In this paper, the modeling method is verified by the measured grinding-shot peening surfaces with a coverage of 100% and 200%. The results show that this method can not only ensure the uniformity of crater texture on the reconstructed surface, but also ensure that the maximum error of spatial parameters is less than 2%. Moreover, the symmetrical autocorrelation functions of the reconstructed surface are consistent with the characteristics of the measured surface.

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Rough Surface Characterization Parameter Set and Redundant Parameter Set for Surface Modeling and Performance Research

Cited by 7 publications

References 34 publications

Evaluation on frictional performance of three different oil-lubricated impregnated graphite seal rings for aircraft integrated drive generators

Evaluation on frictional performance of three different oil-lubricated impregnated graphite seal rings for aircraft integrated drive generators

Surface Characterization of Metallic Materials in the Case of the Turning Process of NiTi Alloy

A new method of layered superposition reconstruction modeling on grinding-shot peening surfaces

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