Materials Map

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

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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.

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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.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2023Phase-field simulation of self-healing AlMg alloycitations
  • 2022Elementary growth mechanisms of creep cavities in AZ31 alloy revealed by in situ X-ray nano-tomography6citations
  • 2019Liquid–liquid phase separation morphologies in ultra-white beetle scales and a synthetic equivalent39citations
  • 2019Liquid–liquid phase separation morphologies in ultra-white beetle scales and a synthetic equivalent39citations

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Chart of shared publication
Delahaye, J.
1 / 1 shared
Sepulveda De La Fuente, Hector Ignacio
1 / 1 shared
Raedemacker, Sophie De
1 / 4 shared
Fetni, S.
1 / 1 shared
Simar, Aude
1 / 130 shared
Duchêne, L.
1 / 5 shared
Habraken, Anne-Marie
1 / 10 shared
Gheysen, Julie
1 / 22 shared
Kumar, R.
1 / 56 shared
Blandin, J. J.
1 / 32 shared
Lhuissier, P.
1 / 13 shared
Salvo, L.
1 / 36 shared
Vukusic, P.
2 / 2 shared
Mcloughlin, D.
2 / 2 shared
Croucher, M.
2 / 2 shared
Dattani, R.
2 / 2 shared
Doak, S.
2 / 3 shared
Bianco, A.
2 / 21 shared
Prevost, S.
2 / 5 shared
Washington, A.
2 / 2 shared
Furnass, W.
2 / 2 shared
Vasilev, C.
2 / 2 shared
Mykhaylyk, O. O.
1 / 5 shared
Dennison, A. J. C.
1 / 1 shared
Dalgliesh, R. M.
1 / 7 shared
Fairclough, J. P. A.
1 / 9 shared
Parnell, S. R.
1 / 6 shared
Burg, S. L.
1 / 1 shared
Ryan, A. J.
1 / 6 shared
Parnell, A. J.
1 / 6 shared
Jones, R. A. L.
1 / 4 shared
Chart of publication period
2023
2022
2019

Co-Authors (by relevance)

  • Delahaye, J.
  • Sepulveda De La Fuente, Hector Ignacio
  • Raedemacker, Sophie De
  • Fetni, S.
  • Simar, Aude
  • Duchêne, L.
  • Habraken, Anne-Marie
  • Gheysen, Julie
  • Kumar, R.
  • Blandin, J. J.
  • Lhuissier, P.
  • Salvo, L.
  • Vukusic, P.
  • Mcloughlin, D.
  • Croucher, M.
  • Dattani, R.
  • Doak, S.
  • Bianco, A.
  • Prevost, S.
  • Washington, A.
  • Furnass, W.
  • Vasilev, C.
  • Mykhaylyk, O. O.
  • Dennison, A. J. C.
  • Dalgliesh, R. M.
  • Fairclough, J. P. A.
  • Parnell, S. R.
  • Burg, S. L.
  • Ryan, A. J.
  • Parnell, A. J.
  • Jones, R. A. L.
OrganizationsLocationPeople

document

Phase-field simulation of self-healing AlMg alloy

  • Delahaye, J.
  • Sepulveda De La Fuente, Hector Ignacio
  • Raedemacker, Sophie De
  • Fetni, S.
  • Simar, Aude
  • Duchêne, L.
  • Habraken, Anne-Marie
  • Gheysen, Julie
  • Villanova, J.
Abstract

The AlMg alloys are widely used in different transportation industries due to their excellent strength-to-weight ratio [1]. In these industries, the components must withstand overloads and a high number of loading cycles [2], which, over time, can generate damage in the materials and in the worst-case failure [3]. To increase the lifetime of these parts, one innovative solution is to use self-healing materials. There exist different types of self-healing methods, one of them is the diffusion self-healing mechanism. In this mechanism, the alloy microstructure is composed of a healing agent in solid solution [4]. After damage, a healing heat treatment triggers the diffusion of this healing agent towards the voids and heals the material. An in-situ Diffusion Healing Heat Treatment at 400 °C was applied to heal a damaged AlMg alloy at the European Synchrotron Radiation Facility (ESRF) [5], where nano-holotomographies (nano-CT) of the damaged and healed microstructure evidenced the healing capacity of the alloy by diffusion mechanism with a voxel size of 35 nm. A diffusion phase-field model based on Kim-Kim-Suzuki [6] was applied to predict the microstructure evolution of the material during this healing heat treatment. The results obtained with the phase-field model are compared with the experimental measurements to corroborate their accuracy.The AlMg alloys are widely used in different transportation industries due to their excellent strength-to-weight ratio [1]. In these industries, the components must withstand overloads and a high number of loading cycles [2], which, over time, can generate damage in the materials and in the worst-case failure [3]. To increase the lifetime of these parts, one innovative solution is to use self-healing materials. There exist different types of self-healing methods, one of them is the diffusion self-healing mechanism. In this mechanism, the alloy microstructure is composed of a healing agent in solid solution [4]. After damage, a healing heat treatment triggers the diffusion of this healing agent towards the voids and heals the material. An in-situ Diffusion Healing Heat Treatment at 400 °C was applied to heal a damaged AlMg alloy at the European Synchrotron Radiation Facility (ESRF) [5], where nano-holotomographies (nano-CT) of the damaged and healed microstructure evidenced the healing capacity of the alloy by diffusion mechanism with a voxel size of 35 nm. A diffusion phase-field model based on Kim-Kim-Suzuki [6] was applied to predict the microstructure evolution of the material during this healing heat treatment. The results obtained with the phase-field model are compared with the experimental measurements to corroborate their accuracy.

Topics
  • impedance spectroscopy
  • microstructure
  • phase
  • simulation
  • strength
  • void