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Material Surface Topography Measurement, Analysis and Characterization (2nd Edition)

A special issue of Materials (ISSN 1996-1944). This special issue belongs to the section "Advanced Materials Characterization".

Deadline for manuscript submissions: 20 February 2026 | Viewed by 370

Special Issue Editors


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Department of Production Engineering, Mechanical Engineering Faculty, Lublin University of Technology, Nadbystrzycka 38D, 20-618 Lublin, Poland
Interests: machining; polymer composite; metal alloys; defect detection; surface layer
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Production Engineering, Mechanical Engineering Faculty, Lublin University of Technology, Nadbystrzycka 38D, 20-618 Lublin, Poland
Interests: machining; brushing and shot peening; metal alloys; surface layer
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Topography is of great importance for the functional behavior of the surface, strongly interacting with material properties and operating conditions. The characterization of surface topography includes measurement, visualization, and quantification, which currently involves mainly digital techniques and the extensive use of computers: data acquisition, conditioning, visualization, elaboration, and quantification.

The goal of this Special Issue is to present new methods and directions in the characterization of the microtopographic surface in relation to its material structure. Papers on the novelty of various surface topography measurement, analysis, and characterization techniques are expected, but papers on new perspectives on the characterization of engineering surfaces in production and tribological operation may also be accepted.

Dr. Krzysztof Ciecieląg
Prof. Dr. Kazimierz Zaleski
Guest Editors

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Keywords

  • measurements of the surface topography of materials
  • characterization and modeling of the surface topography of materials
  • analysis and characterization of surface texture features
  • visual features of the surface of the material
  • tribological properties of the surface topography of materials
  • models of the shaping and optimization of surface topography
  • characteristics of the topography of worn surfaces
  • surface characteristics in additive manufacturing
  • topography of the surface of composite materials
  • surface topography of porous materials and foams

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Published Papers (1 paper)

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Research

22 pages, 4140 KB  
Article
Effect of Sampling Interval on Dependence Between Hybrid Parameters of Machined Surface Textures
by Pawel Pawlus, Rafal Reizer and Wieslaw Żelasko
Materials 2025, 18(23), 5394; https://doi.org/10.3390/ma18235394 - 29 Nov 2025
Viewed by 218
Abstract
Surface topography affects the functional properties of machined surfaces. To assess these effects, special parameters were developed. Among them, the hybrid parameters rms. slope Sdq and the developed interfacial areal ratio Sdr are of high significance. However, these parameters are interrelated. Sdr can [...] Read more.
Surface topography affects the functional properties of machined surfaces. To assess these effects, special parameters were developed. Among them, the hybrid parameters rms. slope Sdq and the developed interfacial areal ratio Sdr are of high significance. However, these parameters are interrelated. Sdr can be estimated from Sdq using the special formula. The connections between these parameters were studied in this work depending on the sampling interval. Sixty-four surface topographies, after various machining treatments, were measured by white light interferometer Talysurf CCI Lite and analysed. The same measurement condition was performed for all surfaces. The application of the formula that interrelated the hybrid parameters was tested for different sampling intervals. It was found that the Sdq parameter was strongly linearly correlated with the Sdr parameter, independent of the sampling interval. The dependence between hybrid parameters had a nonlinear character. The estimation of the Sdr parameter based on the values of the Sdq parameter yielded very accurate results for smooth surfaces, independent of the sampling interval. Relative errors in estimating Sdq based on Sdr decreased as the sampling interval increased. High errors corresponded to surfaces with high roughness amplitude. A proposal was presented for sampling interval selection. Because hybrid parameters are interrelated, one parameter should be selected for the description of the areal surface texture. The Sdq parameter is recommended because of its lower sensitivity to measurement errors than the Sdr parameter. Full article
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