49 citations · 153 across the 24 of their papers we have counts for
25 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…
Continuation methods for higher-order topology optimization
P. Gangl, M. Winkler
We aim to solve a topology optimization problem where the distribution of material in the design domain is represented by a density function. To obtain candidates for local minima,…
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…
Robust Topology Optimization of Electric Machines using Topological Derivatives
Peter Gangl, Theodor Komann, Nepomuk Krenn +1
Designing high-performance electric machines that maintain their efficiency and reliability under uncertain material and operating conditions is crucial for industrial applications…
Multi-material topology optimization of an electric machine considering demagnetization
Nepomuk Krenn, Peter Gangl
We consider the topology optimization problem of a 2d permanent magnet synchronous machine in magnetostatic operation with demagnetization. This amounts to a PDE-constrained multi-…
A space-time finite element method for the eddy current approximation of rotating electric machines
Peter Gangl, Mario Gobrial, Olaf Steinbach
In this paper we formulate and analyze a space-time finite element method for the numerical simulation of rotating electric machines where the finite element mesh is fixed in space…
Regularization and finite element error estimates for elliptic distributed optimal control problems with energy regularization and state or control constraints
Peter Gangl, Richard Löscher, Olaf Steinbach
In this paper we discuss the numerical solution of elliptic distributed optimal control problems with state or control constraints when the control is considered in the energy norm…
Efficient and accurate separable models for discrete material optimization: A continuous perspective
Peter Gangl, Nico Nees, Michael Stingl
Multi-material design optimization problems can, after discretization, be solved by the iterative solution of simpler sub-problems which approximate the original problem at an expa…
On the computation of analytic sensitivities of eigenpairs in isogeometric analysis
Anna Ziegler, Melina Merkel, Peter Gangl +1
The eigenmodes of resonating structures, e.g., electromagnetic cavities, are sensitive to deformations of their shape. In order to compute the sensitivities of the eigenpair with r…
A unified approach to shape and topological sensitivity analysis of discretized optimal design problems
Peter Gangl, Michael H. Gfrerer
We introduce a unified sensitivity concept for shape and topological perturbations and perform the sensitivity analysis for a discretized PDE-constrained design optimization proble…
Complete topological asymptotic expansion for and tracking-type cost functionals in dimension two and three
Phillip Baumann, Peter Gangl, Kevin Sturm
In this paper, we study the topological asymptotic expansion of a topology optimisation problem that is constrained by the Poisson equation with the design/shape variable entering…
Automated computation of topological derivatives with application to nonlinear elasticity and reaction-diffusion problems
Peter Gangl, Kevin Sturm
While topological derivatives have proven useful in applications of topology optimisation and inverse problems, their mathematically rigorous derivation remains an ongoing research…
Topological derivative for PDEs on surfaces
Peter Gangl, Kevin Sturm
In this paper we study the problem of the optimal distribution of two materials on smooth submanifolds of dimension in without boundary by means of the topo…
Fully and Semi-Automated Shape Differentiation in NGSolve
Peter Gangl, Kevin Sturm, Michael Neunteufel +1
In this paper we present a framework for automated shape differentiation in the finite element software NGSolve. Our approach combines the mathematical Lagrangian approach for diff…
A multi-material topology optimization algorithm based on the topological derivative
Peter Gangl
We present a level-set based topology optimization algorithm for design optimization problems involving an arbitrary number of different materials, where the evolution of a design…
Asymptotic analysis and topological derivative for 3D quasi-linear magnetostatics
Peter Gangl, Kevin Sturm
In this paper we study the asymptotic behaviour of the quasilinear - equation of 3D magnetostatics with respect to a singular perturbation of the differential operator…
Shape Optimization of Rotating Electric Machines using Isogeometric Analysis and Harmonic Stator-Rotor Coupling
Melina Merkel, Peter Gangl, Sebastian Schöps
This work deals with shape optimization of electric machines using isogeometric analysis. Isogeometric analysis is particularly well suited for shape optimization as it allows to e…
A simplified derivation technique of topological derivatives for quasi-linear transmission problems
Peter Gangl, Kevin Sturm
In this paper we perform the rigorous derivation of the topological derivative for optimization problems constrained by a class of quasi-linear elliptic transmission problems. In t…
Toplogical derivative for nonlinear magnetostatic problem
Peter Gangl, Samuel Amstutz
The topological derivative represents the sensitivity of a domain-dependent functional with respect to a local perturbation of the domain and is a valuable tool in topology optimiz…
Isogeometric Simulation and Shape Optimization with Applications to Electrical Machines
Peter Gangl, Ulrich Langer, Angelos Mantzaflaris +1
Future e-mobility calls for efficient electrical machines. For different areas of operation, these machines have to satisfy certain desired properties that often depend on their de…