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Sun, 18 Mar 2018 17:32:36 GMT
20180318T17:32:36Z

Influence of the Manufacturing Process of a ClawPole Alternator on its Stator Shape and Acoustic Noise
http://hdl.handle.net/10985/11835
TANKIN, Antoine; HAGEN, Nicolas; LANFRANCHI, Vincent; CLENET, Stephane; COOREVITS, Thierry; MIPO, Jean Claude; LEGRANGER, Jerome; PALLESCHI, frederic
Transcations on Industry Applications
This paper shows the influence of the manufacturing process of a clawpole alternator on its acoustic noise. First, the stator welds and the assembly of the stator in the
brackets are linked to deformations of the inner diameter of the stator. Then, the influences of these deformations on the magnetic forces and the subsequent acoustic noise are investigated. Results show that the deformations caused by the
manufacturing process significantly increase the sound power level of particular orders.
Thu, 25 May 2017 00:00:00 GMT
http://hdl.handle.net/10985/11835
20170525T00:00:00Z
TANKIN, Antoine
HAGEN, Nicolas
LANFRANCHI, Vincent
CLENET, Stephane
COOREVITS, Thierry
MIPO, Jean Claude
LEGRANGER, Jerome
PALLESCHI, frederic
This paper shows the influence of the manufacturing process of a clawpole alternator on its acoustic noise. First, the stator welds and the assembly of the stator in the
brackets are linked to deformations of the inner diameter of the stator. Then, the influences of these deformations on the magnetic forces and the subsequent acoustic noise are investigated. Results show that the deformations caused by the
manufacturing process significantly increase the sound power level of particular orders.

Comparison of DEIM and BPIM to Speed up a PODbased Nonlinear Magnetostatic Model
http://hdl.handle.net/10985/11757
HENNERON, Thomas; MONTIER, Laurent; PIERQUIN, Antoine; CLENET, Stephane
Transactions on Magnetics
Proper Orthogonal Decomposition (POD) has been successfully used to reduce the size of linear Finite Element (FE) problems, and thus the computational time associated with. When considering a nonlinear behavior law of the ferromagnetic materials, the POD is
not so efficient due to the high computational cost associated to the nonlinear entries of the full FE model. Then, the POD approach must be combined with an interpolation method to efficiently deal with the nonlinear terms, and thus obtaining an efficient reduced model. An interpolation method consists in computing a small number of nonlinear entries and interpolating the other terms. Different methods have been presented to select the set of nonlinear entries to be calculated. Then, the (Discrete) Empirical Interpolation method ((D)EIM) and the Best Points Interpolation Method (BPIM) have been developed. In this article, we propose to compare two reduced models based on the POD(D)EIM and on the PODBPIM in the case of nonlinear magnetostatics coupled with electric equation.
Fri, 27 Jan 2017 00:00:00 GMT
http://hdl.handle.net/10985/11757
20170127T00:00:00Z
HENNERON, Thomas
MONTIER, Laurent
PIERQUIN, Antoine
CLENET, Stephane
Proper Orthogonal Decomposition (POD) has been successfully used to reduce the size of linear Finite Element (FE) problems, and thus the computational time associated with. When considering a nonlinear behavior law of the ferromagnetic materials, the POD is
not so efficient due to the high computational cost associated to the nonlinear entries of the full FE model. Then, the POD approach must be combined with an interpolation method to efficiently deal with the nonlinear terms, and thus obtaining an efficient reduced model. An interpolation method consists in computing a small number of nonlinear entries and interpolating the other terms. Different methods have been presented to select the set of nonlinear entries to be calculated. Then, the (Discrete) Empirical Interpolation method ((D)EIM) and the Best Points Interpolation Method (BPIM) have been developed. In this article, we propose to compare two reduced models based on the POD(D)EIM and on the PODBPIM in the case of nonlinear magnetostatics coupled with electric equation.

Application of the Proper Generalized Decomposition to Solve MagnetoElectric Problem
http://hdl.handle.net/10985/12496
HENNERON, Thomas; CLENET, Stephane
IEEE Transactions on magnetics
Among the model order reduction techniques, the Proper Generalized Decomposition (PGD) has shown its efficiency to solve a large number of engineering problems. In this article, the PGD approach is applied to solve a multiphysics problem based on a magnetoelectric device. A reduced model is developed to study the device in its environment based on an Offline/Online approach. In the Offline step, two specific simulations are performed in order to build a PGD reduced model. Then, we obtain a model very well fitted to study in the Online stage the influence of parameters like the frequency or the load. The reduced model of the device is coupled with an electric load (RL) to illustrate the possibility offered by the PGD.
Sun, 01 Jan 2017 00:00:00 GMT
http://hdl.handle.net/10985/12496
20170101T00:00:00Z
HENNERON, Thomas
CLENET, Stephane
Among the model order reduction techniques, the Proper Generalized Decomposition (PGD) has shown its efficiency to solve a large number of engineering problems. In this article, the PGD approach is applied to solve a multiphysics problem based on a magnetoelectric device. A reduced model is developed to study the device in its environment based on an Offline/Online approach. In the Offline step, two specific simulations are performed in order to build a PGD reduced model. Then, we obtain a model very well fitted to study in the Online stage the influence of parameters like the frequency or the load. The reduced model of the device is coupled with an electric load (RL) to illustrate the possibility offered by the PGD.

Proper Generalized Decomposition Applied on a Rotating Electrical Machine
http://hdl.handle.net/10985/12734
MONTIER, Laurent; HENNERON, Thomas; CLENET, Stephane; GOURSAUD, Benjamin
Transactions on magnetics
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce the computational time of a numerical problem by seeking for a separated representation of the solution. The PGD has been already applied to study an electrical machine but at standstill without accounting the motion of the rotor. In this paper, we propose a method to account for the rotation in the PGD approach in order to build an efficient metamodel of an electrical machine. Then, the machine metamodel will be coupled to its electrical and mechanical environment in order to obtain accurate results with an acceptable computational time on a full simulation.
Mon, 01 Jan 2018 00:00:00 GMT
http://hdl.handle.net/10985/12734
20180101T00:00:00Z
MONTIER, Laurent
HENNERON, Thomas
CLENET, Stephane
GOURSAUD, Benjamin
The Proper Generalized Decomposition (PGD) is a model order reduction method which allows to reduce the computational time of a numerical problem by seeking for a separated representation of the solution. The PGD has been already applied to study an electrical machine but at standstill without accounting the motion of the rotor. In this paper, we propose a method to account for the rotation in the PGD approach in order to build an efficient metamodel of an electrical machine. Then, the machine metamodel will be coupled to its electrical and mechanical environment in order to obtain accurate results with an acceptable computational time on a full simulation.