Characterization and robust filtering of multifunctional surfaces using ISO standards

Kasper Storgaard Friis, Alessandro Godi, Leonardo De Chiffre

Research output: Contribution to journalJournal articleResearchpeer-review


Engineered surfaces containing lubrication pockets and directional surface texture can decrease wear and friction in sliding or rolling contacts. A new generation of multifunctional (MUFU) surfaces has been created by hard machining followed by robot-assisted polishing. The production method allows for a large degree of freedom in specifying surface topography defined by frequency, depth and volume of the lubricant retention valleys, as well as the amount of load bearing area and the surface roughness. The surfaces cannot readily be characterized by means of conventional roughness parameters due to the multi-process production method involved. A series of MUFU surfaces were characterized by using the ISO 13565 standard for stratified surfaces and it is shown that the standard in some cases is inadequate for the characterization of a MUFU surface. To improve the filtering of MUFU surfaces, the robust Gaussian regression filtering technique described in ISO 16610-31 is analyzed and discussed. By slight modifications it is shown how the robust Gaussian regression filter can be applied to remove the form and find a suitable reference surface for further characterization of the MUFU surfaces—even for surfaces with a moderate to small plateau region.
Original languageEnglish
JournalMeasurement Science and Technology
Issue number12
Pages (from-to)125101
Publication statusPublished - 2011


  • Stratified surfaces
  • Robot-assisted polishing
  • Robust filtering
  • Gaussian regression


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