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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693.932 PEOPLE
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Naji, M.
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Diehl, M.

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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (10/10 displayed)

  • 2022Coupling crystal plasticity and cellular automaton models to study meta-dynamic recrystallization during hot rolling at high strain rates25citations
  • 2022Coupling crystal plasticity and cellular automaton models to study meta-dynamic recrystallization during hot rolling at high strain rates25citations
  • 2020An efficient and robust approach to determine material parameters of crystal plasticity constitutive laws from macro-scale stress-strain curves109citations
  • 2019DAMASK – The Düsseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scale637citations
  • 2019DAMASK - The Dusseldorf Advanced Material Simulation Kit for modeling multi-physics crystal plasticity, thermal, and damage phenomena from the single crystal up to the component scalecitations
  • 2017Crystal plasticity study on stress and strain partitioning in a measured 3D dual phase steel microstructure70citations
  • 2014In situ observation of collective grain-scale mechanics in Mg and Mg-rare earth alloys103citations
  • 2014Strain localization and damage in dual phase steels investigated by coupled in-situ deformation experiments and crystal plasticity simulations476citations
  • 2014Integrated experimental--simulation analysis of stress and strain partitioning in multiphase alloys320citations
  • 2012DAMASK: the Dusseldorf Advanced MAterial Simulation Kit for studying crystal plasticity using an FE based or a spectral numerical solver191citations

Places of action

Chart of shared publication
Dokkum, J. S. Van
1 / 1 shared
Sedighiani, Karo
2 / 11 shared
Roters, F.
9 / 51 shared
Bos, C.
2 / 14 shared
Shah, V.
2 / 2 shared
Van Dokkum, J. S.
1 / 2 shared
Sedighiani, K.
1 / 2 shared
Sietsma, Jilt
1 / 44 shared
Traka, K.
1 / 5 shared
Raabe, D.
4 / 79 shared
Meier, F.
2 / 6 shared
Fujita, N.
2 / 3 shared
Friák, M.
1 / 25 shared
Janssens, K. G. F.
1 / 5 shared
Grilli, N.
2 / 9 shared
Kok, P. J. J.
1 / 4 shared
Reuber, C.
2 / 3 shared
Stricker, M.
2 / 5 shared
Maiti, T.
2 / 2 shared
Wong, S. L.
1 / 2 shared
Hochrainer, T.
2 / 17 shared
Ebrahimi, A.
2 / 3 shared
Jia, N.
2 / 5 shared
Nikolov, S.
2 / 15 shared
Shanthraj, Pratheek
3 / 57 shared
Werner, E.
2 / 9 shared
Eisenlohr, P.
2 / 23 shared
Fabritius, H. O.
1 / 3 shared
Weygand, D.
2 / 40 shared
Ma, D.
2 / 22 shared
Friak, M.
1 / 18 shared
Kok, P.
1 / 1 shared
Shanthraj, P.
2 / 3 shared
Janssens, K.
1 / 4 shared
Fabritius, H.
1 / 9 shared
Wong, S.
1 / 4 shared
An, D.
1 / 1 shared
Zaefferer, S.
1 / 49 shared
Raabe, Dierk
4 / 523 shared
Sandloebes, S.
1 / 11 shared
Sharma, L.
1 / 3 shared
Wang, F.
1 / 48 shared
Tasan, Cc Cem
1 / 12 shared
Roters, Franz
2 / 39 shared
Yan, D.
2 / 4 shared
Hoefnagels, Jpm Johan
1 / 71 shared
Tasan, C. C.
1 / 18 shared
Zambaldi, Claudio
1 / 2 shared
Yan, Dingshun
1 / 2 shared
Diehl, Martin
1 / 29 shared
Tasan, Cemal Cem
1 / 6 shared
Zambaldi, C.
1 / 7 shared
Tjahjanto, D. D.
1 / 9 shared
Kords, C.
1 / 2 shared
Chart of publication period
2022
2020
2019
2017
2014
2012

Co-Authors (by relevance)

  • Dokkum, J. S. Van
  • Sedighiani, Karo
  • Roters, F.
  • Bos, C.
  • Shah, V.
  • Van Dokkum, J. S.
  • Sedighiani, K.
  • Sietsma, Jilt
  • Traka, K.
  • Raabe, D.
  • Meier, F.
  • Fujita, N.
  • Friák, M.
  • Janssens, K. G. F.
  • Grilli, N.
  • Kok, P. J. J.
  • Reuber, C.
  • Stricker, M.
  • Maiti, T.
  • Wong, S. L.
  • Hochrainer, T.
  • Ebrahimi, A.
  • Jia, N.
  • Nikolov, S.
  • Shanthraj, Pratheek
  • Werner, E.
  • Eisenlohr, P.
  • Fabritius, H. O.
  • Weygand, D.
  • Ma, D.
  • Friak, M.
  • Kok, P.
  • Shanthraj, P.
  • Janssens, K.
  • Fabritius, H.
  • Wong, S.
  • An, D.
  • Zaefferer, S.
  • Raabe, Dierk
  • Sandloebes, S.
  • Sharma, L.
  • Wang, F.
  • Tasan, Cc Cem
  • Roters, Franz
  • Yan, D.
  • Hoefnagels, Jpm Johan
  • Tasan, C. C.
  • Zambaldi, Claudio
  • Yan, Dingshun
  • Diehl, Martin
  • Tasan, Cemal Cem
  • Zambaldi, C.
  • Tjahjanto, D. D.
  • Kords, C.
OrganizationsLocationPeople

article

Integrated experimental--simulation analysis of stress and strain partitioning in multiphase alloys

  • Tasan, C. C.
  • Raabe, Dierk
  • Roters, F.
  • Shanthraj, P.
  • Roters, Franz
  • Yan, D.
  • Zambaldi, Claudio
  • Yan, Dingshun
  • Diehl, Martin
  • Shanthraj, Pratheek
  • Tasan, Cemal Cem
  • Zambaldi, C.
  • Diehl, M.
Abstract

The mechanical response of multiphase alloys is governed by the microscopic strain and stress partitioning behavior among microstructural constituents. However, due to limitations in the characterization of the partitioning that takes place at the submicron scale, microstructure optimization of such alloys is typically based on evaluating the averaged response, referring to, for example, macroscopic stress–strain curves. Here, a novel experimental–numerical methodology is introduced to strengthen the integrated understanding of the microstructure and mechanical properties of these alloys, enabling joint analyses of deformation-induced evolution of the microstructure, and the strain and stress distribution therein, down to submicron resolution. From the experiments, deformation-induced evolution of (i) the microstructure, and (ii) the local strain distribution are concurrently captured, employing in situ secondary electron imaging and electron backscatter diffraction (EBSD) (for the former), and microscopic-digital image correlation (for the latter). From the simulations, local strain as well as stress distributions are revealed, through 2-D full-field crystal plasticity (CP) simulations conducted with an advanced spectral solver suitable for heterogeneous materials. The simulated model is designed directly from the initial EBSD measurements, and the phase properties are obtained by additional inverse CP simulations of nanoindentation experiments carried out on the original microstructure. The experiments and simulations demonstrate good correlation in the proof-of-principle study conducted here on a martensite–ferrite dual-phase steel, and deviations are discussed in terms of limitations of the techniques involved. Overall, the presented integrated computational materials engineering approach provides a vast amount of well-correlated structural and mechanical data that enhance our understanding as well as the design capabilities of multiphase alloys.

Topics
  • impedance spectroscopy
  • microstructure
  • phase
  • experiment
  • simulation
  • steel
  • nanoindentation
  • plasticity
  • electron backscatter diffraction
  • crystal plasticity