Speaker
Description
S. Russenschuck holds the role of principle apply physicist at the Technology Department TE at CERN (CH). He is the leader of the test and magnetic measurement section in the magnet group.
We present Model-Based Systems Engineering (MBSE) as a methodology that enables data-driven modeling and traceable design workflows of magnets and field transducers.
The aim is to create models updated by magnetic measurements, which allow the extrapolation of performance parameters regarding different powering cycles, manufacturing defects, and varying material parameters. To enable MBSE processes, we must place six “columns” on a common foundation: the physical objects (magnets and field transducers), data layers (numerical models and measured data), and software tools for design and analysis.
Data-driven models (hybrid twins) contain the physical description of a nonlinear dynamical system, the simulated system's response and observation functions, and a disturbance model derived from measurements.
