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Advanced approach to local magnetic field computation in magnetocaloric materials characterization

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HAL Id: hal-00862321

https://hal.archives-ouvertes.fr/hal-00862321

Submitted on 18 Mar 2017

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Advanced approach to local magnetic field computation

in magnetocaloric materials characterization

Morgan Almanza, Ando Tiana Raminosoa, Afef Kedous-Lebouc, Salvatore

Miraglia

To cite this version:

Morgan Almanza, Ando Tiana Raminosoa, Afef Kedous-Lebouc, Salvatore Miraglia. Advanced ap-proach to local magnetic field computation in magnetocaloric materials characterization. IRMC 2013, XXII International Material Research Congress 2013, Aug 2013, Cancun, Mexico. �hal-00862321�

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XXII INTERNATIONAL MATERIALS RESEARCH CONGRESS

Advanced approach to local magnetic field computation in magnetocaloric materials characterization

M. ALMANZA1, 2, A. RAMINOSA1, A. KEDOUS-LEBOUC1, S. MIRAGLIA2

1Grenoble Electrical Engineering Laboratory, G2Elab, Grenoble INP – UJF Grenoble – CNRS UMR 5269 2Néel Institute, CNRS – UPR 2940, UJF Grenoble, France

The knowledge of magnetocaloric materials properties as a function of temperature and magnetic field: M, S, Tadia, CH, , etc. is an important issue to design and optimize

magnetic refrigeration systems. Magnetocaloric materials characterizations are based on magnetometry, calorimetry or direct temperature measurements. To obtain the intrinsic properties, experimental data must be adjusted considering the specimen

shape and the demagnetizing field1. However, this requires a homogenous state

variable. In practice, the demagnetizing field modifies the applied field and breaks its homogeneity which affects the final results (Figure 1a).

This paper presents an original approach to determine the intrinsic magnetization curve M(H) of a material whatever the shape of the sample is. It combines experiment, finite element simulation and inverse problem resolution. Its relevance is showed numerically. Simulations of different size cylinders are performed and allow the field inhomogeneity to be analyzed. Then, the internal field is computed considering the demagnetizing factor2 (N) (Figure 1b) as well as the numerical inversion. This method is applied to characterize the M(H) of gadolinium using a parallelepiped sample along different

orientations. The results are compared to the ones obtained with N correcting factor3.

a) M inhomogeneity for an applied field of 0.8T b) Error on M(H) estimation based on the

demagnetizing factor

Figure 1 numerical simulation for a gadolinium cylinder with radius of 20 and height from 5 to 55 Keywords: demagnetizing field, demagnetizing factor, numerical inversion, homogeneity

1. Bahl, C. R. H. & Nielsen, K. K. The effect of demagnetization on the magnetocaloric properties of gadolinium. J. Appl. Phys. 105, 013916–013916–5 (2009).

2. Chen, D.-X., Brug, J. A. & Goldfarb, R. B. Demagnetizing factors for cylinders. Ieee Trans. Magn. 27, 3601 –3619 (1991).

3. Aharoni, A. Demagnetizing factors for rectangular ferromagnetic prisms. J. Appl. Phys. 83, 3432–3434 (1998).

Figure

Figure 1 numerical simulation for a gadolinium cylinder with radius of 20 and height from 5 to 55 Keywords: demagnetizing field, demagnetizing factor, numerical inversion, homogeneity

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