Connectivity characterization of three-dimensional surface topography based on mathematical morphology

Liu, X; Liu, K; Wang, W; Gui, C

doi:10.1243/13506501jet602

Cited by 3 publications

(2 citation statements)

References 6 publications

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“…Formal connectivity class theory was first proposed by Serra and extended to mathematical morphology. Liu et al 26 put forward a novel concept of surface connectivity index and described the specific theories and measurement methods in detail. Here, some basic theoretical concepts are briefly recalled and explained.…”

Section: Connectivity Measure Based On Mathematical Morphologymentioning

confidence: 99%

Synergetic effect of surface connectivity and functional parameters on the friction characteristics of a sliding contact interface

Liu

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part J:

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The characteristics of surface morphology markedly affect the tribological properties of contact interface such as lubrication and seal performance. In present work, the synergetic effect of surface connectivity and some three-dimensional topography parameters (ISO 25178) on the friction characteristics of a sliding contact interface, based on mathematical morphology and reciprocating linear tribotesting, is explored. The results indicate that the friction properties of sliding contact interface was significantly affected by the variation of surface connectivity. The increase in connectivity index would improve the relative contact area on the isotropic surfaces and affect the distribution and storage characteristics of the fluid, while this enhancement would be blocked on the anisotropic surface and the variation of connectivity index is obviously nonlinear with a shocking feature. The friction tests confirm that the friction coefficient of sliding contact interface decreases with the increasing surface connectivity index, which is mainly related to the enhancement of lubricant storage and flow in each void region and improving the lubrication behavior. Furthermore, the same variation law is applicable to the relationship between the functional morphology parameters and the friction property. The increasing Vvv and Sku, would contribute to a lower friction coefficient at the interface. Our work provides deep insights into regulating the tribological property of contact interfaces through surface topography control.

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Section: Connectivity Measure Based On Mathematical Morphologymentioning

confidence: 99%

Synergetic effect of surface connectivity and functional parameters on the friction characteristics of a sliding contact interface

Liu

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part J:

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“…Although a sphere is a logical extension of a circular structuring element, a doubly curved (toroidal) element was considered for establishing a reference surface representing waviness and form errors. A new method to characterize the connectivity of areal surface topography based on mathematical morphology has been presented by Liu et al [28]; as a practical application, the connectivity of the surface topography of cylinder liner was investigated.…”

Section: Introductionmentioning

confidence: 99%

A study of filtering techniques for areal surface topography assessment

Dobrzański

Pawlus

2011

Proceedings of the Institution of Mechanical Engineers, Part B:

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This paper reports an investigation of digital filtering of areal stratified surface textures. The Gaussian robust filtering technique was established, several typical robust weight functions were adopted and the valley suppression Rk filter of surface topography was also included. The results for areal surface topographies of symmetric ordinate distribution filtering were analysed and compared with those obtained after using the Gaussian regression filter. In these cases the waviness and roughness parameters after using Gaussian and other filters should be similar. The computer-generated areal surfaces that had triangular scratches and measured stratified surfaces were also subjected to filtering. The surface roughness distortion and computation time were compared. Based on the comparison results, some digital filters are recommended.

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A Surface Connectivity-Based Approach for Leakage Channel Prediction in Static Sealing Interface

Shao

Yin

et al. 2019

Journal of Tribology

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Leakage susceptibility is significant for the functionalization of engineering products, and surface topography plays a crucial role in forming the leakage channel in static sealing interface. This paper proposes a surface connectivity-based approach to predict the leakage channel in static sealing interface. The proposed approach consists of three modules including contact surface generation, leakage parameters definition, and leakage channel prediction. A high-definition metrology (HDM) instrument is adopted to measure the three-dimensional (3D) surface. The contact surface that can be considered as the sealing interface is generated by assembling the virtual gasket surface and waviness surface. Considering the spatial connectivity, two kinds of leakage parameters including connectivity parameters and correlation parameters are proposed to describe the characteristics of the contact surface. Meantime, a novel prediction algorithm is developed to directly indicate the potential leakage channel of the surface. Experimental results demonstrate that the proposed approach is valid to be accurate and effective, which can provide valuable information for surface topography and static sealing performance.

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Connectivity characterization of three-dimensional surface topography based on mathematical morphology

Cited by 3 publications

References 6 publications

Synergetic effect of surface connectivity and functional parameters on the friction characteristics of a sliding contact interface

Synergetic effect of surface connectivity and functional parameters on the friction characteristics of a sliding contact interface

A study of filtering techniques for areal surface topography assessment

A Surface Connectivity-Based Approach for Leakage Channel Prediction in Static Sealing Interface

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