TY - JOUR
T1 - Wear monitoring of protective nitride coatings using image processing
AU - Rasmussen, Inge Lise
AU - Guibert, M.
AU - Belin, M.
AU - Martin, J.-M.
AU - Mikkelsen, N.J.
AU - Pedersen, Henrik Chresten
AU - Schou, Jørgen
PY - 2010
Y1 - 2010
N2 - 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.
AB - 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.
U2 - 10.1016/j.surfcoat.2009.09.004
DO - 10.1016/j.surfcoat.2009.09.004
M3 - Journal article
SN - 0257-8972
VL - 204
SP - 1970
EP - 1972
JO - Surface and Coatings Technology
JF - Surface and Coatings Technology
IS - 12-13
ER -