Computational materials engineering

Computational Materials Engineering

The materials simulation group at MTU uses various computational approaches to achieve three main goals:

understand the role of local material chemistries on mechanical properties
reduce experimental testing by identifying suitable parameters
analyze the thermo-kinetic potential of alloy specifications to optimize performance and productibility

Contact

Elzbieta Fuchs

elzbieta.fuchs@mtu.de

Application examples

Optimizing alloy composition to minimize cost without compromising on performance
Calculating optimal heat treatment parameters for a new alloy or process
Finding optimum process conditions for new braze compositions
Prediction of static mechanical properties (e.g. Rp0.2, creep life, Young’s modulus)
Materials and processes benchmarking

Software solutions

We work within astrong research network and have optimised and enhanced a number of commerciallyavailable software solutions. For instance, we have created new databases, linked different softwares and added tailored applications to better model and simulate the micromechanical evolution of the most commonturbine materials used today.
We use the key software solutions: