In order to ensure the functionality of a system during subsequent operation, the physical behavior of a system can be approximately predicted in advance using physics simulations. This approach is increasingly being used in the engineering process to reduce errors and the number of prototypes. The correct selection of electric drives also plays a decisive role here. To speed up this process, it should be automated in a Modelica simulation and the drive systems should be modularly interchangeable in the simulation.

GOALS:

The aim of this work is to model the elements of an electric drive system, such as the motor and gearbox, as well as the mechanics of the mechatronic system in Modelica. Different variants of the drive components should be available for selection and combined with the mechanics of the application in a modular, configurable way. The components are to be selected from a query to a knowledge graph. A concept is to be developed and implemented as to how this workflow can be automated. The simulation model for the entire drive should be generated automatically and the simulation should then be carried out. (For a master's thesis, an iterative process is also to be designed and implemented in which the drive design is adapted based on the simulation results).

HELPFUL PRIOR KNOWLEDGE:

• Great interest in the simulation of mechatronic components
• Programming skills and enjoy software development
• Content of the lectures Digital Twin Engineering or Cyber Physical Modeling (Modelica)
• Initial experience with knowledge graphs (OWL and SPARQL)