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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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.

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Sedighiani, Karo

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Delft University of Technology

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (11/11 displayed)

  • 2024Comparative analysis of crystal plasticity models in predicting deformation texture in IF-Steel1citations
  • 2024Anisotropic power diagrams for polycrystal modelling: efficient generation of curved grains via optimal transport2citations
  • 2022Coupling crystal plasticity and cellular automaton models to study meta-dynamic recrystallization during hot rolling at high strain rates25citations
  • 2022Crystal plasticity simulation of in-grain microstructural evolution during large deformation of IF-steel35citations
  • 2022Determination and analysis of the constitutive parameters of temperature-dependent dislocation-density-based crystal plasticity models62citations
  • 2022Crystal Plasticity Simulation of in-grain Microstructural Evolution during Large Plastic Deformationcitations
  • 2021Topological aspects responsible for recrystallization evolution in an IF-steel sheet – Investigation with cellular-automaton simulations16citations
  • 2021Large-deformation crystal plasticity simulation of microstructure and microtexture evolution through adaptive remeshing35citations
  • 2020Current Challenges and Opportunities in Microstructure-Related Properties of Advanced High-Strength Steels178citations
  • 2020Current challenges and opportunities in microstructure-related properties of advanced high-strength steels178citations
  • 2020An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress-strain curves109citations

Places of action

Chart of shared publication
Galan-Lopez, J.
1 / 2 shared
Ochoa Avendaño, Jhon
1 / 1 shared
Kestens, Leo A. I.
1 / 14 shared
Bos, C.
2 / 14 shared
Buze, Maciej
1 / 2 shared
Feydy, Jean
1 / 1 shared
Bourne, David P.
1 / 2 shared
Roper, Steven M.
1 / 2 shared
Dokkum, J. S. Van
1 / 1 shared
Roters, F.
2 / 51 shared
Diehl, M.
2 / 10 shared
Shah, V.
1 / 2 shared
Sietsma, Jilt
5 / 44 shared
Raabe, Dierk
6 / 523 shared
Diehl, Martin
5 / 29 shared
Roters, Franz
5 / 39 shared
Traka, Konstantina
4 / 5 shared
Angenendt, Katja
1 / 2 shared
Lopez, Jesus Galan
1 / 1 shared
Bos, Cornelis
1 / 4 shared
Shah, Vitesh
3 / 6 shared
Wong, Su-Leen
2 / 2 shared
Gault, Baptiste
2 / 45 shared
Kusampudi, Navyanth
2 / 4 shared
Ponge, Dirk
2 / 49 shared
Herbig, Michael
2 / 21 shared
Zaefferer, Stefan
2 / 26 shared
Filho, Isnaldi R. Souza
1 / 2 shared
Sukumar, Prithiv Thoudden
1 / 1 shared
Katnagallu, Shyam
2 / 9 shared
Baron, Christian
2 / 2 shared
Sun, Binhan
2 / 4 shared
Silva, Alisson Kwiatkowski Da
1 / 2 shared
Jägle, Eric
2 / 5 shared
Liebscher, Christian H.
2 / 10 shared
Kürnsteiner, Philipp
2 / 9 shared
Stephenson, Leigh
2 / 5 shared
Springer, Hauke
2 / 25 shared
Yen, Hung-Wei
2 / 5 shared
Kwiatkowski Da Silva, Alisson
1 / 4 shared
Thoudden Sukumar, Prithiv
1 / 2 shared
Souza Filho, Isnaldi R.
1 / 5 shared
Traka, K.
1 / 5 shared
Raabe, D.
1 / 79 shared
Chart of publication period
2024
2022
2021
2020

Co-Authors (by relevance)

  • Galan-Lopez, J.
  • Ochoa Avendaño, Jhon
  • Kestens, Leo A. I.
  • Bos, C.
  • Buze, Maciej
  • Feydy, Jean
  • Bourne, David P.
  • Roper, Steven M.
  • Dokkum, J. S. Van
  • Roters, F.
  • Diehl, M.
  • Shah, V.
  • Sietsma, Jilt
  • Raabe, Dierk
  • Diehl, Martin
  • Roters, Franz
  • Traka, Konstantina
  • Angenendt, Katja
  • Lopez, Jesus Galan
  • Bos, Cornelis
  • Shah, Vitesh
  • Wong, Su-Leen
  • Gault, Baptiste
  • Kusampudi, Navyanth
  • Ponge, Dirk
  • Herbig, Michael
  • Zaefferer, Stefan
  • Filho, Isnaldi R. Souza
  • Sukumar, Prithiv Thoudden
  • Katnagallu, Shyam
  • Baron, Christian
  • Sun, Binhan
  • Silva, Alisson Kwiatkowski Da
  • Jägle, Eric
  • Liebscher, Christian H.
  • Kürnsteiner, Philipp
  • Stephenson, Leigh
  • Springer, Hauke
  • Yen, Hung-Wei
  • Kwiatkowski Da Silva, Alisson
  • Thoudden Sukumar, Prithiv
  • Souza Filho, Isnaldi R.
  • Traka, K.
  • Raabe, D.
OrganizationsLocationPeople

article

Large-deformation crystal plasticity simulation of microstructure and microtexture evolution through adaptive remeshing

  • Sedighiani, Karo
  • Sietsma, Jilt
  • Raabe, Dierk
  • Diehl, Martin
  • Roters, Franz
  • Traka, Konstantina
  • Shah, Vitesh
Abstract

<p>The capability of high-resolution modeling of crystals subjected to large plastic strain is essential in predicting many important phenomena occurring in polycrystalline materials, such as microstructure, deformation localization and in-grain texture evolution. However, due to the heterogeneity of the plastic deformation in polycrystals, the simulation mesh gets distorted during the deformation. This mesh distortion deteriorates the accuracy of the results, and after reaching high local strain levels, it is no longer possible to continue the simulation. In this work, two different adaptive remeshing approaches are introduced for simulating large deformation of 3D polycrystals with high resolution under periodic boundary conditions. In the first approach, a new geometry with a new mesh is created, and then the simulation is restarted as a new simulation in which the initial state is set based on the last deformation state that had been reached. In the second approach, the mesh is smoothened by removing the distortion part of the deformation, and then the simulation is continued after finding a new equilibrium state for the smoothed mesh and geometry. The first method is highly efficient for conducting high-resolution large-deformation simulations. On the other hand, the second method's primary advantage is that it can overcome periodicity issues related to shear loading, and it can be used in conjunction with complex loading conditions. The merits of the methodologies are demonstrated using full-field simulations performed using a dislocation-density-based crystal plasticity model for Interstitial free (IF-) steel. Particular emphasis is put on studying the effect of resolution and adaptive meshing. The algorithms presented have been implemented into the free and open-source software package, DAMASK (Düsseldorf Advanced Material Simulation Kit).</p>

Topics
  • density
  • impedance spectroscopy
  • polymer
  • grain
  • simulation
  • steel
  • dislocation
  • texture
  • plasticity
  • interstitial
  • crystal plasticity