Materials Map

Discover the materials research landscape. Find experts, partners, networks.

  • About
  • Privacy Policy
  • Legal Notice
  • Contact

The Materials Map is an open tool for improving networking and interdisciplinary exchange within materials research. It enables cross-database search for cooperation and network partners and discovering of the research landscape.

The dashboard provides detailed information about the selected scientist, e.g. publications. The dashboard can be filtered and shows the relationship to co-authors in different diagrams. In addition, a link is provided to find contact information.

×

Materials Map under construction

The Materials Map is still under development. In its current state, it is only based on one single data source and, thus, incomplete and contains duplicates. We are working on incorporating new open data sources like ORCID to improve the quality and the timeliness of our data. We will update Materials Map as soon as possible and kindly ask for your patience.

To Graph

1.080 Topics available

To Map

977 Locations available

693.932 PEOPLE
693.932 People People

693.932 People

Show results for 693.932 people that are selected by your search filters.

←

Page 1 of 27758

→
←

Page 1 of 0

→
PeopleLocationsStatistics
Naji, M.
  • 2
  • 13
  • 3
  • 2025
Motta, Antonella
  • 8
  • 52
  • 159
  • 2025
Aletan, Dirar
  • 1
  • 1
  • 0
  • 2025
Mohamed, Tarek
  • 1
  • 7
  • 2
  • 2025
Ertürk, Emre
  • 2
  • 3
  • 0
  • 2025
Taccardi, Nicola
  • 9
  • 81
  • 75
  • 2025
Kononenko, Denys
  • 1
  • 8
  • 2
  • 2025
Petrov, R. H.Madrid
  • 46
  • 125
  • 1k
  • 2025
Alshaaer, MazenBrussels
  • 17
  • 31
  • 172
  • 2025
Bih, L.
  • 15
  • 44
  • 145
  • 2025
Casati, R.
  • 31
  • 86
  • 661
  • 2025
Muller, Hermance
  • 1
  • 11
  • 0
  • 2025
Kočí, JanPrague
  • 28
  • 34
  • 209
  • 2025
Šuljagić, Marija
  • 10
  • 33
  • 43
  • 2025
Kalteremidou, Kalliopi-ArtemiBrussels
  • 14
  • 22
  • 158
  • 2025
Azam, Siraj
  • 1
  • 3
  • 2
  • 2025
Ospanova, Alyiya
  • 1
  • 6
  • 0
  • 2025
Blanpain, Bart
  • 568
  • 653
  • 13k
  • 2025
Ali, M. A.
  • 7
  • 75
  • 187
  • 2025
Popa, V.
  • 5
  • 12
  • 45
  • 2025
Rančić, M.
  • 2
  • 13
  • 0
  • 2025
Ollier, Nadège
  • 28
  • 75
  • 239
  • 2025
Azevedo, Nuno Monteiro
  • 4
  • 8
  • 25
  • 2025
Landes, Michael
  • 1
  • 9
  • 2
  • 2025
Rignanese, Gian-Marco
  • 15
  • 98
  • 805
  • 2025

Sixdenier, Fabien

  • Google
  • 11
  • 19
  • 20

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 2023Behaviour of electrical steels under rotationnal magnetization and high temperaturescitations
  • 2022Conception et réalisation d'un dispositif de caractérisations magnétiques 2D en températurecitations
  • 2022An analytical formula to identify the parameters of the energy-based hysteresis model11citations
  • 2017Including Frequency Dependent Complex Permeability Into SPICE Models To Improve EMI Filters Designcitations
  • 2017Impact Of Some Manufacturing Processes On Magnetic Properties Of Nanocrystalline Cores : Core Shape, Ribbon Shearing And Ribbon Widthcitations
  • 2017Core Shape, Ribbon Shearing and Ribbon Width Influence on Magnetic Properties of Nanocrystalline Tape Wound Cores.citations
  • 2016Inductance self-heating transient modelingcitations
  • 2015Influence of Various Technological Manufacturing Processes on the Magnetic Properties of Nanocrystalline Corescitations
  • 2012Magnetic Behavior Representation Taking Into Account the Temperature of a Magnetic Nanocrystalline Material9citations
  • 2011Magnetical behaviour representation taking into account the temperature of a magnetic nanocrystalline materialcitations
  • 2009Electromagnetic Characterization of Biological Tissues with Particle Swarm Optimizationcitations

Places of action

Chart of shared publication
Joubert, Charles
4 / 7 shared
Delaunay, Clémentine
2 / 2 shared
Scorretti, Riccardo
1 / 1 shared
Martin, Christian
3 / 5 shared
Yade, Ousseynou
1 / 1 shared
Vollaire, Christian
1 / 3 shared
Burais, Noël
4 / 5 shared
Fouineau, Alexis
2 / 2 shared
Lefebvre, Bruno
3 / 4 shared
Raulet, Marie-Ange
5 / 7 shared
Morel, Laurent
3 / 5 shared
Bui, Anh Tuan
1 / 1 shared
Pereira, Albert
1 / 1 shared
Baudrand, Stéphane
1 / 1 shared
Chailloux, Thibaut
2 / 3 shared
Lormel, C.
1 / 1 shared
Siauve, Nicolas
1 / 1 shared
Marion, Romain
1 / 1 shared
Dardenne, Julien
1 / 1 shared
Chart of publication period
2023
2022
2017
2016
2015
2012
2011
2009

Co-Authors (by relevance)

  • Joubert, Charles
  • Delaunay, Clémentine
  • Scorretti, Riccardo
  • Martin, Christian
  • Yade, Ousseynou
  • Vollaire, Christian
  • Burais, Noël
  • Fouineau, Alexis
  • Lefebvre, Bruno
  • Raulet, Marie-Ange
  • Morel, Laurent
  • Bui, Anh Tuan
  • Pereira, Albert
  • Baudrand, Stéphane
  • Chailloux, Thibaut
  • Lormel, C.
  • Siauve, Nicolas
  • Marion, Romain
  • Dardenne, Julien
OrganizationsLocationPeople

document

Inductance self-heating transient modeling

  • Sixdenier, Fabien
  • Morel, Laurent
  • Burais, Noël
  • Bui, Anh Tuan
Abstract

This paper focuses on the thermal stress on magnetic materials under thermal constraint. Temperature influence on all standard static and dynamic magnetic properties is studied. The Jiles-Atherton model model is used in order to reproduce the static and DSF model for dynamic hysteresis loops for material ferrite MnZn N30 (Epsco). The six model parameters are optimized from measurements for each temperature. The model parameters variations are discussed. Finally, the electromagnetic model is associated with a simple thermal model to achieve a coupling between three physical domains: electric-magnetic – thermic in order to reproduce of self-heating of an inductance. The simulation results are compared with measurements. Index Terms—Magnetic dynamic hysteresis, Magnetic materials, Magneto-thermal properties, Magneto-thermal coupling. Even though there are a large number of applications where a linear model of magnetic circuit is enough for circuit simulation, some others, for example, switching power suppliers, require an accurate model of the magnetic material. The model should consider nonlinearities, magnetic saturation, dynamic hysteresis, temperature effects. Moreover magnetic circuit in the electromagnetic system is a key element of an efficient energy conversion. In reality, the properties of ferromagnetic material are quite sensitive to temperature variations, which may induce a change in the electromagnetic system performance. To quantify this influence, a self-heating of an inductance is proposed. The magnetic material is a ferrite MnZn N30 very sensitive to temperature, with low Curie temperature is 135°C. A new hysteresis model is firstly presented to model the variation of magnetic behavior under the influence of temperature. Then, a classic thermal model is proposed to estimate the operating and transient temperature from the Joule copper losses and iron losses. Finally, a coupling between electric – magnetic – thermic domains is performed to simulate the component behavior of an inductance. EVOLUTION OF B(H) LOOP AS A FUNCTION OF TEMPERATURE IN STATIC REGIME (1Hz) A dynamic thermal-electromagnetic model to study self-heating of an inductance is proposed. To do this, a classic thermal model is coupled to a new dynamic hysteresis model. The transient temperature of the magnetic core and the coil are estimated with accuracy. To do this, the dynamic hysteresis model presented takes account the variation of magnetic behavior under the influence of temperature up to the Curie one. The experimental and simulation results proved the consistency of this methodology.

Topics
  • impedance spectroscopy
  • simulation
  • copper
  • iron
  • Curie temperature