MUST
 
 
http://www.risk-technologies.com/home.aspx?pst=bl&pag=1329&BlockID=-143
MULTI-LEVEL PROTECTION OF MATERIAL FOR VEHICLES BY "SMART" NANOCONTAINER
Acronym: MUST
Start date: June 1, 2008
End date: September 30, 2012
Total project value: ~ 10.5 Million €
Project coordinator: EADS Deutschland GmbH
Total number of partners: 19
Contact person (name/email): mustrisk-technologies,com
Project webpage R-Tech/EU-VRi: http://www.must.risk-technologies.com/
Official webpage (coordinator): http://www.sintef.no/Projectweb/MUST/
Example for the simulation of self healing action
Description: The destructive effect of environment and the corrosion induced degradation are the important problems which determine the service life of a vehicle or its components. The application of organic coatings is the most common and cost effective method of improving protection and durability of metallic and plastic structures. However the degradation processes develop faster after disruption of the protective barrier. Therefore an active protection based on “self-healing” of defects in coatings is necessary to provide long-term effect. Another indispensable issue for manufacturing of future vehicles is adhesive joining of structural components. Modern structural adhesives provide high strength of the adhesive joint up to excellent crash performance. The contact of adhesively joined structures with environment containing water and other aggressive species leads to the ageing and the degradation of adhesive joints as in the case of coatings.

The main vision of the project MUST is development of new active multi-level protective systems for future vehicle materials. Products like self-healing coatings, adhesives and other composite materials will be based on “smart” release nanocontainers incorporated into the polymer matrix of current commercial products. The nanocontainer (or nanoreservoir) is a nanosized volume filled with an active substance confined in a porous core and/or a shell which prevents direct contact of the active agent with the adjacent environment. A multi-level self-healing approach will combine - within one system - several damage prevention and reparation mechanisms, which will be activated depending on type and intensity of the environmental impact.
R-Tech Specific Role: Development of computational algorithm based on the Monte-Carlo method for the simulation of the self healing action as well as other alternative models based on Discrete Particle Deposition and Intelligent Agents.
Development of methods and models for impact assessment including scenario definition methods, hazard identification methods, probability of occurrence and consequence assessment.

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