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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Fang, Haixing

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European Synchrotron Radiation Facility

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (6/6 displayed)

  • 2021A novel 3D mixed-mode multigrain model with efficient implementation of solute drag applied to austenite-ferrite phase transformations in Fe-C-Mn alloys23citations
  • 2019Self healing of creep damage in iron-based alloys by supersaturated tungsten27citations
  • 2018Analysis of the grain size evolution for ferrite formation in Fe-C-Mn steels using a 3D model under a mixed-mode interface condition13citations
  • 2018In Situ 3D Neutron Depolarization Study of the Transformation Kinetics and Grain Size Evolution During Cyclic Partial Austenite-Ferrite Phase Transformations in Fe-C-Mn Steels5citations
  • 2018Modelling study on the three-dimensional neutron depolarisation response of the evolving ferrite particle size distribution during the austenite–ferrite phase transformation in steels1citations
  • 2017Linking Surface Precipitation in Fe-Au Alloys to Its Self-healing Potential During Creep Loading12citations

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Van Dijk, Niels
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Brück, Ekkes
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Sloof, Willem G.
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Herbig, M.
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Tichelaar, F. D.
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Cloetens, P.
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Szymanski, N.
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Kwakernaak, C.
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Balachandran, S.
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Versteylen, C. D.
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Mecozzi, M. G.
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Sun, W. W.
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Hutchinson, C. R.
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Co-Authors (by relevance)

  • Van Dijk, Niels
  • Brück, Ekkes
  • Sloof, Willem G.
  • Herbig, M.
  • Tichelaar, F. D.
  • Cloetens, P.
  • Szymanski, N.
  • Kwakernaak, C.
  • Balachandran, S.
  • Versteylen, C. D.
  • Mecozzi, M. G.
  • Sun, W. W.
  • Hutchinson, C. R.
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article

A novel 3D mixed-mode multigrain model with efficient implementation of solute drag applied to austenite-ferrite phase transformations in Fe-C-Mn alloys

  • Fang, Haixing
  • Van Dijk, Niels
Abstract

A computational 3D model that accounts for both nucleation and interface migration is a very useful tool to monitor and grasp the complexity of microstructure formation in low-alloyed steels. In the present study we have developed a 3D mixed-mode multigrain model for the austenite-ferrite and the austenite-ferrite-austenite formation capable of following diffusional phase transformations under arbitrary thermal routes. This new model incorporates the solute drag effect of a substitutional element (in this case Mn) and ensures an automatic change in transformation direction when changing from heating to cooling and vice-versa. An analytical solution for calculating the energy dissipation of solute drag together with multiple regression approximations for chemical potentials are proposed which significantly accelerate the computation. The modelling results are first benchmarked for an Fe-0.1C-0.5Mn (wt.%) alloy under different continuous cooling and isothermal holding conditions. The model revealed relatively large variations in transformation kinetics of individual grains as a result of interactions with neighboring grains. Then the model is applied to predict the transformation kinetics of a series of Fe-C-Mn alloys during cyclic partial phase transformations. The comparison with experimental dilatometer results nicely validates the predictions of this model regarding the change in overall transformation kinetics of the ferrite transformation as a function of the Mn content. New features of this model are its efficient algorithm to compute energy dissipation by solute drag, its capabilities of predicting the microstructural state for spatially resolved grains and the minimal fine tuning of modelling parameters. The code to implement this model is publicly available. ; RST/Fundamental Aspects of Materials and Energy ; Novel Aerospace Materials

Topics
  • impedance spectroscopy
  • grain
  • phase
  • steel