- 1: Master ACM.
- 2: Curriculum.
- 3: Duration & schedule.
- 4: Lecturers.
- 5: Campus & housing.
- 6: Tuition & financial options.
- 7: Enrollment.
- 8: Accreditation.
- 9: FAQ.

Basics in Multiphysics
Content
Part I: Computational Fluid Dynamics
- Conservation equations in fluid dynamics
- State of the art in CFD
- Numerical methods: discretization, boundary conditions, solvers
- Multi grid and parallel methods
- Modeling
- Solution techniques for turbulent flows
- Fluid-Structure interaction
- Case studies: e.g. aerodynamics, turbines
- Practical exercises
Part II: Mechatronics
- Fundamentals of electromagnetic field theory
- Electrostatic and magnetic analysis
- Main components of mechatronic systems
- Definition, structure and simulation of actuators
- Examples (magnetic valves, electrical drives, linear and rotating electrical motors)
- Control aspects
Lecturers
Prof. Dr.-Ing. Bschorer, Ingolstadt University of Applied Sciences
Dr.-Ing. Grotjans, ANSYS Germany GmbH
Prof. Dr.-Ing. Pörnbacher, Landshut University of Applied Sciences
Dr. rer. nat. Hanke, CADFEM GmbH
Taught as
Class, practical exercise, lab exercise
Contact hours
70 hours
Examination
Written exam
ECTS
7 credits
Teaching aims
The participants have a solid comprehension of the phenomena of fluid flow and of the fundamentals of Computational Fluid Dynamics and have the referring mathematical and physical understanding. They are able to apply the CFD to engineering problems. They have the ability to solve problems in this field, including correct modeling, checking and discussion of results. They are able to realize the potential and the limits of CFD. They have tested their abilities in practical exercises in a wind tunnel and in simulations using commercial software.
The participants acquire a solid comprehension of the description and simulation of mechatronic systems and their components. They are familiar with the physical background and the simulation in different physical disciplines like electrostatics and electromechanics and its interaction. They master the modeling of related coupled systems as well as the simulation of the dynamic operation of mechatronic systems. They are able to perform numerical simulations of electromechanical actuators and their control. They can discuss the numerical results and know about the benefits and limits of numerical simulations of mechatronic systems.
