Nonlinear Proper Generalized Decomposition Method Applied to the Magnetic Simulation of a SMC Microstructure
Improvement of the magnetic performances of soft magnetic composites (SMC) materials requires to link the microstructure to the macroscopic magnetic behavior law. This can be achieved with the finite-element method using the geometry reconstruction from images of the microstructure. Nevertheless, it...
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| Veröffentlicht in: | IEEE transactions on magnetics 2012-11, Vol.48 (11), p.3242-3245 |
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| container_issue | 11 |
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| container_title | IEEE transactions on magnetics |
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| creator | Henneron, T. Benabou, A. Clenet, S. |
| description | Improvement of the magnetic performances of soft magnetic composites (SMC) materials requires to link the microstructure to the macroscopic magnetic behavior law. This can be achieved with the finite-element method using the geometry reconstruction from images of the microstructure. Nevertheless, it can lead to large computational times. In that context, the proper generalized decomposition (PGD), that is an approximation method originally developed in mechanics, and based on a finite sum of separable functions, can be of interest in our case. In this work, we propose to apply the PGD method to the SMC microstructure magnetic simulation. A nonlinear magnetostatic problem with the scalar potential formulation is then solved. |
| doi_str_mv | 10.1109/TMAG.2012.2196421 |
| format | Article |
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This can be achieved with the finite-element method using the geometry reconstruction from images of the microstructure. Nevertheless, it can lead to large computational times. In that context, the proper generalized decomposition (PGD), that is an approximation method originally developed in mechanics, and based on a finite sum of separable functions, can be of interest in our case. In this work, we propose to apply the PGD method to the SMC microstructure magnetic simulation. 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This can be achieved with the finite-element method using the geometry reconstruction from images of the microstructure. Nevertheless, it can lead to large computational times. In that context, the proper generalized decomposition (PGD), that is an approximation method originally developed in mechanics, and based on a finite sum of separable functions, can be of interest in our case. In this work, we propose to apply the PGD method to the SMC microstructure magnetic simulation. A nonlinear magnetostatic problem with the scalar potential formulation is then solved.</description><subject>Cross-disciplinary physics: materials science; rheology</subject><subject>Exact sciences and technology</subject><subject>Iron</subject><subject>Magnetic domains</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic separation</subject><subject>Magnetism</subject><subject>Magnetostatics</subject><subject>Materials science</subject><subject>Microstructure</subject><subject>Nonlinear proper generalized decomposition (PGD)</subject><subject>Other topics in materials science</subject><subject>Physics</subject><subject>soft magnetic composites (SMC)</subject><subject>Soft magnetic materials</subject><issn>0018-9464</issn><issn>1941-0069</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNo9kE9PGzEQxS1EJQLlA1RcLKEeN3hs7x8fo5SmSGxbiXBeufaYGG3Wi-09lE_fTRNxGo3e770ZPUK-AFsCMHW3bVebJWfAlxxUJTmckQUoCQVjlTonC8agKZSs5AW5TOl1XmUJbEH6n2Ho_YA60t8xjBjpBgeMuvfvaOk3NGE_huSzDwNtMe-Cpatx7P0s5kDzDmmrXwbM3tAnv596_Z8Mjmr61K5p600MKcfJ5CniZ_LJ6T7h9Wlekefv99v1j-Lx1-ZhvXosjBQ8F1zZBpzSyrqK1caqRpVlLUoQzhguuW2YsaJ0rKkRnBRV3UjGHUgLzjZ_tLgit8fcMYa3CVPuXsMUh_lkBwBCQSlVPVNwpA4vpoiuG6Pf6_i3A9YdSu0OpXaHUrtTqbPn6ylZJ6N7F_VgfPow8qpqSsn5zN0cOY-IH3IlBK-FEP8APrSAAw</recordid><startdate>20121101</startdate><enddate>20121101</enddate><creator>Henneron, T.</creator><creator>Benabou, A.</creator><creator>Clenet, S.</creator><general>IEEE</general><general>Institute of Electrical and Electronics Engineers</general><general>The Institute of Electrical and Electronics Engineers, Inc. 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| subjects | Cross-disciplinary physics: materials science rheology Exact sciences and technology Iron Magnetic domains Magnetic resonance imaging Magnetic separation Magnetism Magnetostatics Materials science Microstructure Nonlinear proper generalized decomposition (PGD) Other topics in materials science Physics soft magnetic composites (SMC) Soft magnetic materials |
| title | Nonlinear Proper Generalized Decomposition Method Applied to the Magnetic Simulation of a SMC Microstructure |
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