Wear monitoring of protective nitride coatings using image processing

A double-layer model system, consisting of a thin layer of tribological titanium aluminum nitride (TiAlN) on top of titanium nitride (TiN), was deposited on polished 100Cr6 steel substrates. The TiAlN top-coatings were exposed to abrasive wear by a reciprocating wear process in a linear tribo-meter...

Full description

Saved in:
Bibliographic Details
Published inSurface & coatings technology Vol. 204; no. 12; pp. 1970 - 1972
Main Authors Rasmussen, Inge L., Guibert, M., Belin, M., Martin, J.-M., Mikkelsen, N.J., Pedersen, H.C., Schou, J.
Format Journal Article Conference Proceeding
LanguageEnglish
Published Amsterdam Elsevier B.V 15.03.2010
Elsevier
Subjects
Applied sciences
Contact of materials. Friction. Wear
Corrosion
Corrosion prevention
Cross-disciplinary physics: materials science; rheology
Exact sciences and technology
Image analysis
Materials science
Mechanical properties and methods of testing. Rheology. Fracture mechanics. Tribology
Metals. Metallurgy
Physics
Surface treatments
Titanium nitride
Wear
Titanium nitride
Image analysis
Wear
Image processing
Protective layer
Mechanical properties
Surface treatments
Corrosion protection
Protective coatings
Tribology
Online AccessGet full text

Cover

More Information
Summary:A double-layer model system, consisting of a thin layer of tribological titanium aluminum nitride (TiAlN) on top of titanium nitride (TiN), was deposited on polished 100Cr6 steel substrates. The TiAlN top-coatings were exposed to abrasive wear by a reciprocating wear process in a linear tribo-meter with up to 10 5 repetitive cycles, eventually leaving the embedded TiN signal layer uncovered at the bottom of the wear scar. The worn surface was characterized by subsequent image processing. A color detection of the wear scar with the exposed TiN layer by a simple optical imaging system showed a significant increase up to a factor of 2 of the relative color values from the TiAlN top layers to the embedded TiN signal layers. This behavior agrees well with the results of optical reflectance detection experiments with a red laser on the same system. Thus we have demonstrated that image processing by color detection is a potential technique for early warning or determination of residual thickness of tribological tool coatings prior to complete wear.
ISSN:0257-8972
1879-3347
DOI:10.1016/j.surfcoat.2009.09.004