Utilization of material analysis, condition control and artificial intelligence for industrial circular economy

01.03.2020 - 31.12.2022

Project

The project is funded by European Regional Development Fund (ERDF).
The project is implemented by University of Eastern Finland (coordinator), Savonia University of Applied Sciences and Savo Consortium for Education

Funder(s)

Main funder

Regional Council of Pohjois-Savo

Utilization of material analysis, condition control and artificial intelligence for industrial circular economy funder logo Utilization of material analysis, condition control and artificial intelligence for industrial circular economy funder logo Utilization of material analysis, condition control and artificial intelligence for industrial circular economy funder logo

The project will develop non-destructive and destructive methods for analyzing, e.g. raw materials, machine parts or products. The methods can be utilized to support material processing, in-use loading, fracture analysis and quality control at different stages of the material life cycle. Artificial intelligence will be utilized on data achieved through the project to create tools for to evaluate the desired attributes.

Specific objectives and measures include:
– to utilize special methods of educational institutions for industrial material analysis (including fractures, quality control)
– to perform challenging material testing and analysis on industrial targets
– to develop new measurement technologies for industrial condition monitoring
– to develop digital tools (forecasting tools, modeling) for structural analysis, load behavior and sustainability evaluation;
– to promote the direct exchange of information between educational institutes and enterprises

The measures will promote and accelerate companies’ product development, as well as strengthen their expertise, quality control and cost-effectiveness. Ultimately, the activities will promote companies’ RDI activities, competitiveness and know-how.

Time period

01.03.2020 - 31.12.2022

Group members - UEF

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