Reference : Shape and Topology Optimization of Electrical Machines using Lie Derivative-Based Ana...
Scientific conferences in universities or research centers : Scientific conference in universities or research centers
Engineering, computing & technology : Electrical & electronics engineering
http://hdl.handle.net/2268/209944
Shape and Topology Optimization of Electrical Machines using Lie Derivative-Based Analytical Sensitivity Analysis
English
Kuci, Erin mailto [Université de Liège > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres >]
Henrotte, François mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Applied and Computational Electromagnetics (ACE) >]
Duysinx, Pierre mailto [Université de Liège > Département d'aérospatiale et mécanique > Ingénierie des véhicules terrestres >]
Geuzaine, Christophe mailto [Université de Liège > Dép. d'électric., électron. et informat. (Inst.Montefiore) > Applied and Computational Electromagnetics (ACE) >]
13-Nov-2016
Erin
International
The 17th Biennial Conference on Electromagnetic Field Computation (IEEE CEFC)
du 13 au 16 novembre 2016
IEEE
Miami
USA
[en] The paper addresses the optimal design of electric machines, through the general setting of both shape and topology optimization. The optimization problems are efficiently solved with a classical gradient-based mathematical programming algorithm. An analytical sensitivity analysis for the nonlinear magnetostatic problem that can handle both shape and topology design variables, based on the Lie derivative is derived and applied to the optimal design of an interior permanent magnet (IPM) machine.
This work was supported in part by the Walloon Region of Belgium under grant RW-1217703 (WBGreen FEDO).
http://hdl.handle.net/2268/209944

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