Wear monitoring of protective nitride coatings using image processing

Inge Lise Rasmussen, M. Guibert, M. Belin, J.-M. Martin, N.J. Mikkelsen, Henrik Chresten Pedersen, Jørgen Schou

Research output: Contribution to journalJournal articleResearchpeer-review

Abstract

A double-layer model system, consisting of a thin layer of tribological titanium aluminum nitride (TiAlN) on 17 top of titanium nitride (TiN), was deposited on polished 100Cr6 steel substrates. The TiAlN top-coatings 18 were exposed to abrasive wear by a reciprocating wear process in a linear tribo-meter with up to 105 19 repetitive cycles, eventually leaving the embedded TiN signal layer uncovered at the bottom the wear scar. 20 The worn surface was characterized by subsequent image processing. A color detection of the wear scar with 21 the exposed TiN layer by a simple optical imaging system showed a significant increase up to a factor of 2 of 22 the relative color values from the TiAlN top layers to the embedded TiN signal layers. This behavior agrees 23 well with the results of reflectance detection experiment with a red laser optical system on the same system. 24 Thus we have demonstrated that image processing by color detection is a potential technique for early 25 warning or determination of residual thickness of tribological tool coatings prior to complete wear.
Original languageEnglish
JournalSurface and Coatings Technology
Volume204
Issue number12-13
Pages (from-to)1970-1972
ISSN0257-8972
DOIs
Publication statusPublished - 2010

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