000102174 001__ 102174
000102174 005__ 20240614091132.0
000102174 0247_ $$2doi$$a10.1007/s42452-021-04310-3
000102174 0248_ $$2sideral$$a124127
000102174 037__ $$aART-2021-124127
000102174 041__ $$aeng
000102174 100__ $$aSancarlos, A.
000102174 245__ $$aA novel sparse reduced order formulation for modeling electromagnetic forces in electric motors
000102174 260__ $$c2021
000102174 5060_ $$aAccess copy available to the general public$$fUnrestricted
000102174 5203_ $$aA novel model order reduction (MOR) technique is presented to achieve fast and real-time predictions as well as high-dimensional parametric solutions for the electromagnetic force which will help the design, analysis of performance and implementation of electric machines concerning industrial applications such as the noise, vibration, and harshness in electric motors. The approach allows to avoid the long-time simulations needed to analyze the electric machine at different operation points. In addition, it facilitates the computation and coupling of the motor model in other physical subsystems. Specifically, we propose a novel formulation of the sparse proper generalized decomposition procedure, combining it with a reduced basis approach, which is used to fit correctly the reduced order model with the numerical simulations as well as to obtain a further data compression. This technique can be applied to construct a regression model from high-dimensional data. These data can come, for example, from finite element simulations. As will be shown, an excellent agreement between the results of the proposed approach and the finite element method models are observed.
000102174 540__ $$9info:eu-repo/semantics/openAccess$$aby$$uhttp://creativecommons.org/licenses/by/3.0/es/
000102174 592__ $$a0.342$$b2021
000102174 593__ $$aChemical Engineering (miscellaneous)$$c2021$$dQ2
000102174 593__ $$aEngineering (miscellaneous)$$c2021$$dQ2
000102174 593__ $$aPhysics and Astronomy (miscellaneous)$$c2021$$dQ2
000102174 593__ $$aMaterials Science (miscellaneous)$$c2021$$dQ2
000102174 593__ $$aEnvironmental Science (miscellaneous)$$c2021$$dQ2
000102174 594__ $$a2.7$$b2021
000102174 655_4 $$ainfo:eu-repo/semantics/article$$vinfo:eu-repo/semantics/publishedVersion
000102174 700__ $$0(orcid)0000-0003-1017-4381$$aCueto, E.$$uUniversidad de Zaragoza
000102174 700__ $$aChinesta, F.
000102174 700__ $$aDuval, J.L.
000102174 7102_ $$15004$$2605$$aUniversidad de Zaragoza$$bDpto. Ingeniería Mecánica$$cÁrea Mec.Med.Cont. y Teor.Est.
000102174 773__ $$g3, 3 (2021), 355 [19 pp]$$tSN Applied Sciences$$x2523-3963
000102174 8564_ $$s4993449$$uhttps://zaguan.unizar.es/record/102174/files/texto_completo.pdf$$yVersión publicada
000102174 8564_ $$s2570760$$uhttps://zaguan.unizar.es/record/102174/files/texto_completo.jpg?subformat=icon$$xicon$$yVersión publicada
000102174 909CO $$ooai:zaguan.unizar.es:102174$$particulos$$pdriver
000102174 951__ $$a2024-06-14-09:08:11
000102174 980__ $$aARTICLE