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

Skarlatos, Anastassios

  • Google
  • 12
  • 80
  • 39

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (12/12 displayed)

  • 2024Magnetic anisotropy quantification in steel fiber reinforced materials2citations
  • 2023How the EU project "Online Microstructure Analytics" advances inline sensing of microstructure during steel manufacturingcitations
  • 2023How the EU project "Online Microstructure Analytics" advances inline sensing of microstructure during steel manufacturingcitations
  • 2022Effect of stress on the Magnetic Barkhausen Noise energy cycles: a route for stress evaluation in ferromagnetic materials29citations
  • 2019Fast 3D model dedicated to thermographic inspections of planar composite structurescitations
  • 2018Product uniformity control - A research collaboration of european steel industries to non-destructive evaluation of microstructure and mechanical properties2citations
  • 2018Use of meta-modelling for identification and interpolation of parametric hysteresis models applied to the characterization of carbon steels3citations
  • 2017Product Uniformity Control (PUC): How 15 European research institutes contribute to improve the in-line characterisation of microstructure and mechanical properties in the manufacturing of steel stripcitations
  • 2017Use of meta-modelling for identification and interpolation of parametric hysteresis models applied to the characterization of carbon steels3citations
  • 2016In-line characterisation of microstructure and mechanical properties in the manufacturing of steel strip for the purpose of product uniformity controlcitations
  • 2016In-line characterisation of microstructure and mechanical properties in the manufacturing of steel strip for the purpose of product uniformity controlcitations
  • 2015Impedance of an induction coil accounting for the end-effect in eddy current inspection of steam generator tubes citations

Places of action

Chart of shared publication
Harvey, J., B.
1 / 1 shared
Reboud, Christophe
10 / 12 shared
Riding, Kyle A.
1 / 1 shared
Alabi, Daniel
1 / 1 shared
Miorelli, Roberto
3 / 5 shared
Martínez-De-Guerenu, A.
4 / 7 shared
Ducharne, Benjamin
1 / 21 shared
Daniel, Laurent
1 / 33 shared
Domenjoud, Mathieu
1 / 5 shared
Fagan, Patrick
1 / 4 shared
Ratsakou, Almpion
1 / 2 shared
Lesselier, Dominique
2 / 22 shared
Lasaosa, A.
2 / 2 shared
Reboud, C.
1 / 2 shared
Miorelli, R.
1 / 1 shared
Pipis, Konstantinos
1 / 1 shared
Theodoulidis, Theodoros
1 / 2 shared
Chart of publication period
2024
2023
2022
2019
2018
2017
2016
2015

Co-Authors (by relevance)

  • Harvey, J., B.
  • Reboud, Christophe
  • Riding, Kyle A.
  • Alabi, Daniel
  • Miorelli, Roberto
  • Martínez-De-Guerenu, A.
  • Ducharne, Benjamin
  • Daniel, Laurent
  • Domenjoud, Mathieu
  • Fagan, Patrick
  • Ratsakou, Almpion
  • Lesselier, Dominique
  • Lasaosa, A.
  • Reboud, C.
  • Miorelli, R.
  • Pipis, Konstantinos
  • Theodoulidis, Theodoros
OrganizationsLocationPeople

article

Effect of stress on the Magnetic Barkhausen Noise energy cycles: a route for stress evaluation in ferromagnetic materials

  • Ducharne, Benjamin
  • Daniel, Laurent
  • Reboud, Christophe
  • Domenjoud, Mathieu
  • Fagan, Patrick
  • Skarlatos, Anastassios
Abstract

The magnetic Barkhausen noise energy hysteresis cycles, MBNenergy(H), were evaluated as a nondestructive testing characterization method to identify intern mechanical stress in ferromagnetic parts. Oriented grains electrical steel, and iron-cobalt specimens were tested as model materials of opposite behaviors. Tensile stress tests were run and revealed MBNenergy(H) coercivity as the most correlated indicator. In parallel, a predictive multiscale model was developed to simulate the stress-dependent MBNenergy(H) anhysteretic curves. A hysteresis contribution was added, and the resulting hysteresis predictions were validated by comparison to the tensile-stress experimental tests. 2D simulation predictions reveal the identification of uniaxial tensile stress as more efficient when the magnetic field is applied within an angle between 30° and 75° from the stress direction. The simulation method allows the foresee of the most favorable sensor orientation configurations depending on the material tested and all available a priori knowledge of the stress configuration.

Topics
  • impedance spectroscopy
  • grain
  • simulation
  • steel
  • cobalt
  • iron
  • coercivity