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Characterisations of wear mechanisms and surface functionalities with regard to lifetime prediction and quality criteria - from micro to the nano range

Obiettivo

Almost all manufacturing techniques of surface preparing (polishing, lapping, deposition, etc.) have reached precision in nanometre scale. Although it is possible to measure sub micrometer structures of these surfaces (topography, thickness of coatings) there are hardly any information available for their functionality in tribological systems or wear characteristics due to nanometre or even micrometer surface effects.

So there is a strong need for capable measuring devices and also for a higher level theoretical parameter model to predict behaviours of tribosystem and quality criteria of work pieces. Many nanometre scale measuring systems used for model tribometre and engine tests will provide the necessary data for the theoretical model. With this combination of different results in the theoretical model the real behaviour of tribosystems should be more predictable.

So the objectives of this proposal are:
- improved 3D-analysis-methods for determination of wear and chemical changes on advanced function al surfaces and coatings
- improved analysis methods to describe chemical and metallurgical interactions between advanced lubricants and functional surfaces
- set up a theoretical parameter and criteria model for wear characterisation in sub mi cro-metre and nano-metre scale
- development of an improved micro-nano-simulation-model to describe the surface and advanced lubricant relevant interactions and wear mechanisms
- economical impact of improved wear mechanisms understanding and ecological impact of wear reduction/prevention

Within this network the researchers will have the chance for linking their experience of one special topic to other institutes in respect to the superior parameter mode.

Invito a presentare proposte

FP6-2005-MOBILITY-1
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Coordinatore

AC2T RESEARCH GMBH
Contributo UE
Nessun dato
Indirizzo
Viktor Kaplan-Straße 2
WIENER NEUSTADT
Austria

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Partecipanti (13)