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  4. The Surface-Topography Challenge: A Multi-Laboratory Benchmark Study to Advance the Characterization of Topography
 
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July 26, 2025
Journal Article
Title

The Surface-Topography Challenge: A Multi-Laboratory Benchmark Study to Advance the Characterization of Topography

Abstract
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.
Author(s)
Pradhan, Arushi
University of Pittsburgh
Müser, Martin
Universität des Saarlandes  
Abdelnabe, Juan P.
Afferrante, Luciano
Universität des Saarlandes  
Albertini, David
Universite Lyon
Aldave, Diego A.
Autonomous University of Madrid
Almqvist, Adam
Lulea University of Technology
Amann, Tobias  
Fraunhofer-Institut für Werkstoffmechanik IWM  
Ares, Pablo
Autonomous University of Madrid
Björling, Marcus
Lulea University of Technology
Balzer, Bizan Nicolas
Univ. Freiburg/Brsg.  
Dienwiebel, Martin  
Fraunhofer-Institut für Werkstoffmechanik IWM  
Laux, Patrick  
Fraunhofer-Institut für Physikalische Messtechnik IPM  
et al.
Journal
Tribology letters  
Project(s)
Lebende, adaptive und energieautonome Materialsysteme (livMatS)  
Funder
Deutsche Forschungsgemeinschaft  
Open Access
File(s)
Download (9.54 MB)
Rights
CC BY 4.0: Creative Commons Attribution
DOI
10.1007/s11249-025-02014-y
10.24406/publica-7611
Additional link
Full text
Language
English
Fraunhofer-Institut für Werkstoffmechanik IWM  
Fraunhofer-Institut für Physikalische Messtechnik IPM  
Keyword(s)
  • Surface topography

  • Roughness metrics

  • Multi-scale topography

  • Challenge

  • Open Science

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