Computational Electric Machine Laboratory: Thermal Modelling, Transient Analysis, Geometry Handling and Robust Design

GCCE, TU Darmstadt and Johannes Kepler University Linz are intensifying their research into how electrical machines can be decisively improved through computer simulation. To this end, the first German-Austrian Collaborative Research Centre/Transregio (TRR) 361 has been approved.

This Collaborative Research Centre will lay the foundations for the next generation electro-thermal machine design to overcome the challenges of modelling, simulation and optimisation in these multiscale and multiphysical systems. In particular, we address (i) modelling of nonlinear material behaviour, e.g. hysteresis, losses and novel cooling strategies, (ii) simulation of coupled electronic-electromagnetic-mechanical-thermal multiscale dynamical systems, (iii) flexible geometry handling, involving rotating geometry and geometric design, (iv) multiobjective shape and topology optimisation, sensitivity analysis and uncertainty quantification. The innovations in these areas will boost the predictive power of machine models. They will allow design engineers to take full advantage of the recent achievements in the conception of next-generation electric machines.

For more information, see TU Graz News and the project's Homepage.

Funding: Austrian Science Fund FWF and the German Research Foundation (DFG)

Mechanics, Modeling and Simulation of Aortic Dissection

Researchers at the Graz Center of Computational Engineering (GCCE) have set themselves the goal in this lead project to uncover the cause and formation of different phases of aortic dissection. In medicine, aortic dissection (AD) refers to a splitting of the wall layers of the aorta, which is a potentially life-threatening condition. This project will develop new simulation techniques to aid in the diagnosis and treatment of AD using non-invasive methods. In addition, related topics are being investigated, such as the optimization of implants and stents, or the development of a better design for the artificial production of biological tissue.

For more information to this project, see TU Graz News and the Homepage of this project.

Funding: Graz University of Technology

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Graz Center of Computational Engineering (GCCE)
Münzgrabenstrasse 36/II
8010 Graz
Austria
gccenoSpam@tugraz.at