Objectif
SOFTDETECT develops software sensors for the prediction of quality and process parameters (e.g. thermal state, thickness quality and chatter marks) during processing. This builds up the basis for control performance diagnosis, automatic fault-detection and diagnosis of causes. Human-machine interfaces will be provided to indicate early warnings, using advanced data analysis, modelling and visualisation techniques.
SOFTDETECT provides a contribution for hot and cold-rolled strip producers to increase quality and reduce production costs to face the trend towards products with tight thickness and flatness tolerances, as well as surface-critical material such as that used for exposed automotive applications.
The benefits of the project will be demonstrated at TKAST's HSM, ACERALI's TCM, and RASSELSTEIN's Temper Mill (NWW 4). All methods and components of SOFTDETECT, thus specifically validated, are aimed at being used together as a comprehensive system to enhance the mill performance from the walking furnace till the exit of the temper mill.
Thème(s)
Data not availableAppel à propositions
Data not availableRégime de financement
Data not availableCoordinateur
40237 DUSSELDORF
Allemagne