Speaker
Lucie Baudin
(CERN)
Description
In the frame of FCC-ee, where the radiation level and the large scale of the facility impose remote activities and cost optimization, the deployment of dynamic models of physical mechanical systems has great potential.
Ability to provide real-time feedback on the system’s state and to perform predictive modelling can contribute -among others- to diagnostic optimization, reduction of number of sensors and to effective predictive maintenance.
This contribution will present the ongoing effort by Mechanical and Materials Engineering group at CERN, to develop digital twins dedicated to mechanical components for particle accelerators. The current state of the project and initial trials will be discussed.
Primary author
Lucie Baudin
(CERN)
Co-authors
Ana Teresa Perez Fontenla
(CERN)
Dorota Smakulska
(CERN)
Giannis Papazoglou
(CERN)
Marco Garlasche
(CERN)
Oscar Sacristan De Frutos
(CERN)
Said Atieh
(CERN)
