8 papers
Efficient Pareto-Front Generation for Electric Machines using IGA and Second Order Derivatives
Theodor Komann, Michael Wiesheu, Stefan Ulbrich +2
The multiobjective optimization of electric machines always involves a trade-off caused by various competing objectives such as performance and cost. A suitable design is usually d…
The SiMPL Method for Multi-Material Topology Optimization
Peter Gangl, Brendan Keith, Dohyun Kim +2
We introduce an efficient and scalable method for density-based multi-material topology optimization, integrating classical mirror descent techniques with point-wise polytopal desi…
On the importance of smoothness, interface resolution and numerical sensitivities in shape and topological sensitivity analysis
M. H. Gfrerer, P. Gangl
In this paper we investigate the influence of the discretization of PDE constraints on shape and topological derivatives. To this end, we study a tracking-type functional and a two…
Isogeometric Topology Optimization Based on Topological Derivatives
Guilherme Henrique Teixeira, Nepomuk Krenn, Peter Gangl +1
Topology optimization is a valuable tool in engineering, facilitating the design of optimized structures. However, topological changes often require a remeshing step, which can bec…
Electro-thermal topology optimization of an electric machine by the topological derivative considering drive cycles
Nepomuk Krenn, Théodore Cherrière, Sebastian Schöps +1
We consider a 2d permanent magnet synchronous machine operating in a sequence of static operating points coming from a drive cycle. We aim to find a rotor design which maximizes th…
Multi-material topology optimization of electric machines under maximum temperature and stress constraints
Peter Gangl, Nepomuk Krenn, Herbert De Gersem
The use of topology optimization methods for the design of electric machines has become increasingly popular over the past years. Due to a desired increase in power density and a r…