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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Kücükyildiz, Ömer Can

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Technical University of Denmark

in Cooperation with on an Cooperation-Score of 37%

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Publications (9/9 displayed)

  • 2022Rapid Screening of the Mechanical Properties of 13 wt%Cr Steels with Uncharted Combinations of C and N Contents2citations
  • 2022Area determination with pile-up and sink-in in nanoindentation of oxygen containing titanium22citations
  • 2021Extreme hardening of titanium with colossal interstitial contents of nitrogen and oxygen20citations
  • 2020Anisotropy effects on gaseous nitriding of austenitic stainless steel single crystals29citations
  • 2020Thermo-chemical-mechanical simulation of low temperature nitriding of austenitic stainless steel; inverse modelling of surface reaction rates18citations
  • 2018Residual stress in expanded austenite on stainless steel; origin, measurement, and prediction22citations
  • 2018Numerical Modelling of Mechanical Anisotropy during Low Temperature Nitriding of Stainless Steelcitations
  • 2018A simple model linking surface roughness with friction coefficient and manufacturing costcitations
  • 2017Integrated Computational Modelling of Thermochemical Surface Engineering of Stainless Steelcitations

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Somers, Marcel Adrianius Johannes
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Villa, Matteo
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Dahl, Kristian Vinter
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Poulios, Konstantinos
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Mahdavi, H.
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Kværndrup, Frederik B.
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Engelbrekt, Christian
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Winther, Grethe
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Grumsen, Flemming Bjerg
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Hattel, Jh
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Thorborg, Jesper
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Sonne, Mads S.
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Ormstrup, Casper A.
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Alimadadi, Hossein
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Chiffre, Leonardo De
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Bay, Niels Oluf
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Co-Authors (by relevance)

  • Somers, Marcel Adrianius Johannes
  • Villa, Matteo
  • Dahl, Kristian Vinter
  • Poulios, Konstantinos
  • Mahdavi, H.
  • Kværndrup, Frederik B.
  • Engelbrekt, Christian
  • Winther, Grethe
  • Grumsen, Flemming Bjerg
  • Hattel, Jh
  • Thorborg, Jesper
  • Sonne, Mads S.
  • Ormstrup, Casper A.
  • Alimadadi, Hossein
  • Chiffre, Leonardo De
  • Bay, Niels Oluf
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article

Thermo-chemical-mechanical simulation of low temperature nitriding of austenitic stainless steel; inverse modelling of surface reaction rates

  • Hattel, Jh
  • Somers, Marcel Adrianius Johannes
  • Thorborg, Jesper
  • Sonne, Mads S.
  • Kücükyildiz, Ömer Can
Abstract

A multi-physics thermo-chemical-mechanical 1-dimensional implicit finite difference model is presented to simulate the evolution of composition and residual stress profiles over the expanded austenite case developing during low temperature nitriding of austenitic stainless steels. The model combines 1-dimensional diffusion of nitrogen in the depth direction with a concentration-dependent diffusivity, elasto-plastic accommodation of the lattice expansion, stress gradient-induced diffusion of nitrogen, solid solution-strengthening by nitrogen and trapping of nitrogen by chromium atoms. The rate of the surface reaction governing the transfer of nitrogen from the gas to the solid is unknown and was evaluated by inverse modelling. The modelling was applied adopting the surface reaction rate as the only fitting parameter and taking mass-uptake curves (thermogravimetry) as the constraint, while all other data were taken from established literature values. Very good agreement is achieved between the predicted and experimental composition-depth profiles. Further, the applicability of the present model to plasma nitriding was verified by simulating (not fitting) the evolution of composition-depth profiles obtained after plasma nitriding of stainless steel. The good to very good agreement of the present model's predictions with experimental data for gaseous and plasma nitriding, indicates that the essential multi-physics influences and parameters are taken into account, with a minimum of adjustable parameters.

Topics
  • impedance spectroscopy
  • surface
  • polymer
  • stainless steel
  • chromium
  • simulation
  • Nitrogen
  • thermogravimetry
  • diffusivity