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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Pedersen, Henrik Chresten
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (7/7 displayed)
- 2022A Tunable Hyperspectral Imager for Detection and Quantification of Marine Biofouling on Coated Surfacescitations
- 2016Replication of optical microlens arrays using photoresist coated moldscitations
- 2016Replication of nanopits and nanopillars by roll-to-roll extrusion coating using a structured cooling rollcitations
- 2010Optical detections from worn and unworn titanium compound surfacescitations
- 2010Wear monitoring of protective nitride coatings using image processingcitations
- 2009Dynamic study of a sliding interface wear process of TiAlN and CrN multi-layers by X-ray absorption
- 2009Image processing of worn and unworn protective coatings of TiAlN and TiN on 100Cr6 steel
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article
Wear monitoring of protective nitride coatings using image processing
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.