caa a22 4500 445878088 CHVBK 20180317145533.0 cr unu---uuuuu 170323e20110301xx s 000 0 eng 10.1007/s11081-010-9115-1 doi (NATIONALLICENCE)springer-10.1007/s11081-010-9115-1 Mixed-variable optimal design of induction motors including efficiency, noise and thermal criteria [Elektronische Daten] [Jean LeBesnerais, Aurélie Fasquelle, Vincent Lanfranchi, Michel Hecquet, Pascal Brochet] Squirrel cage induction motors design requires making numerous trade-offs, especially between its audible electromagnetic noise level, its efficiency and its material cost. However, adding the vibro-acoustic and thermal models to the usual electrical model of the motor drastically increases the simulation time. A finite element approach is then inconceivable, especially if the model has to be coupled to an evolutionary optimization algorithm. A fast simulation tool of the variable-speed induction machine, based on electrical, mechanical, acoustic and thermal analytical models, has therefore been elaborated. It has been validated at different stages with both tests and finite element method (FEM) simulations. This model is then coupled to a mixed-variable constrained Non-dominating Sorting Genetic Algorithm (NSGA-II) with a stochastic repair algorithm. Some global optimizations with respect to several objectives (noise level, efficiency and material cost), including thermal constraints, are finally presented, and several convenient visualizations of multi-dimensional solutions are presented. Springer Science+Business Media, LLC, 2010 Multi-objective optimization nationallicence Multi-physics modelling nationallicence Induction machine nationallicence Magnetic noise nationallicence Thermal nodal network nationallicence LeBesnerais Jean Cité Scientifique, L2EP, Ecole Centrale de Lille, 59671, Villeneuve d'Ascq, France aut Fasquelle Aurélie LME, Valenciennes, France aut Lanfranchi Vincent LEC, Université de Technologie de Compiègne, 60200, Compiègne, France aut Hecquet Michel L2EP, Lille, France aut Brochet Pascal L2EP, Lille, France aut Optimization and Engineering Springer US; http://www.springer-ny.com 12/1-2(2011-03-01), 55-72 1389-4420 12:1-2<55 2011 12 11081 https://doi.org/10.1007/s11081-010-9115-1 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/s11081-010-9115-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- LeBesnerais Jean Cité Scientifique, L2EP, Ecole Centrale de Lille, 59671, Villeneuve d'Ascq, France aut NATIONALLICENCE 700 1- Fasquelle Aurélie LME, Valenciennes, France aut NATIONALLICENCE 700 1- Lanfranchi Vincent LEC, Université de Technologie de Compiègne, 60200, Compiègne, France aut NATIONALLICENCE 700 1- Hecquet Michel L2EP, Lille, France aut NATIONALLICENCE 700 1- Brochet Pascal L2EP, Lille, France aut NATIONALLICENCE 773 0- Optimization and Engineering Springer US; http://www.springer-ny.com 12/1-2(2011-03-01), 55-72 1389-4420 12:1-2<55 2011 12 11081 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer