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The surface-topography challenge : a multi-laboratory benchmark study to advance the characterization of topography
ID Pradhan, A. (Avtor), ID Müser, M. H. (Avtor), ID Miller, N. (Avtor), ID Abdelnabe, J. P. (Avtor), ID Afferrante, L. (Avtor), ID Albertini, D. (Avtor), ID Aldave, D. A. (Avtor), ID Algieri, L. (Avtor), ID Ali, N. (Avtor), ID Almqvist, A. (Avtor), ID Kalin, Mitjan (Avtor), ID Polajnar, Marko (Avtor), ID Požar, Tomaž (Avtor), ID Samodurova, Anastasia (Avtor)

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Izvleček
Surface performance is critically influenced by topography in virtually all real-world applications. The current standard practice is to describe topography using one of a few industry-standard parameters. The most commonly reported number is a, the average absolute deviation of the height from the mean line (at some, not necessarily known or specified, lateral length scale). However, other parameters, particularly those that are scale-dependent, influence surface and interfacial properties; for example the local surface slope is critical for visual appearance, friction, and wear. The present Surface-Topography Challenge was launched to raise awareness for the need of a multi-scale description, but also to assess the reliability of different metrology techniques. In the resulting international collaborative effort, 153 scientists and engineers from 64 research groups and companies across 20 countries characterized statistically equivalent samples from two different surfaces: a “rough” and a “smooth” surface. The results of the 2088 measurements constitute the most comprehensive surface description ever compiled. We find wide disagreement across measurements and techniques when the lateral scale of the measurement is ignored. Consensus is established through scale-dependent parameters while removing data that violates an established resolution criterion and deviates from the majority measurements at each length scale. Our findings suggest best practices for characterizing and specifying topography. The public release of the accumulated data and presented analyses enables global reuse for further scientific investigation and benchmarking.

Jezik:Angleški jezik
Ključne besede:surface topography, roughness metrics, multi-scale topography
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FS - Fakulteta za strojništvo
Status publikacije:Objavljeno
Različica publikacije:Objavljena publikacija
Leto izida:2025
Št. strani:26 str.
Številčenje:Vol. 73, art. 110
PID:20.500.12556/RUL-171045 Povezava se odpre v novem oknu
UDK:539.92
ISSN pri članku:1023-8883
DOI:10.1007/s11249-025-02014-y Povezava se odpre v novem oknu
COBISS.SI-ID:244191491 Povezava se odpre v novem oknu
Datum objave v RUL:29.07.2025
Število ogledov:657
Število prenosov:261
Metapodatki:XML DC-XML DC-RDF
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Gradivo je del revije

Naslov:Tribology letters
Skrajšan naslov:Tribol. lett.
Založnik:Springer Nature
ISSN:1023-8883
COBISS.SI-ID:2806555 Povezava se odpre v novem oknu

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Projekti

Financer:NSF - National Science Foundation
Številka projekta:1844739
Naslov:CAREER: Understanding Nanoparticle Adhesion to Guide the Surface Engineering of Supporting Structures

Financer:NSF - National Science Foundation
Številka projekta:CMMI-2400999

Financer:Drugi - Drug financer ali več financerjev
Program financ.:Deutsche Forschungsgemeinschaft
Številka projekta:EXC-2193/1-390951807

Financer:Drugi - Drug financer ali več financerjev
Program financ.:European Research Council
Številka projekta:StG 747343

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