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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Naji, M.
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Vajragupta, Napat

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VTT Technical Research Centre of Finland

in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (21/21 displayed)

  • 2023Micromechanical modeling of single crystal and polycrystalline UO2 at elevated temperatures2citations
  • 2023Experimental Assessment and Micromechanical Modeling of Additively Manufactured Austenitic Steels under Cyclic Loading2citations
  • 2023Micromechanical modeling of single crystal and polycrystalline UO 2 at elevated temperatures2citations
  • 2022Data-oriented description of texture-dependent anisotropic material behavior6citations
  • 2022Identification of texture characteristics for improved creep behavior of a L-PBF fabricated IN738 alloy through micromechanical simulations5citations
  • 2021Finite element modeling of brittle and ductile modes in cutting of 3C-SiCcitations
  • 2021Influence of crystal plasticity parameters on the strain hardening behavior of polycrystals4citations
  • 2020Influence of Pore Characteristics on Anisotropic Mechanical Behavior of Laser Powder Bed Fusion–Manufactured Metal by Micromechanical Modeling15citations
  • 2020A comparative study of an isotropic and anistropic model to describe themicro-indentation of TWIP steelcitations
  • 2020Influence of trapped gas on pore healing under hot isostatic pressing in nickel-base superalloyscitations
  • 2020Micromechanical modeling of DP600 steel6citations
  • 2020Optimized reconstruction of the crystallographic orientation density function based on a reduced set of orientations18citations
  • 2020Robust optimization scheme for inverse method for crystal plasticity model parametrization15citations
  • 2020Effect of grain statistics on micromechanical modelingcitations
  • 2020Influence of pore characteristics on anisotropic mechanical behavior of laser powder bed fusion–manufactured metal by micromechanical modeling15citations
  • 2019Studying Grain Boundary Strengthening by Dislocation-Based Strain Gradient Crystal Plasticity Coupled with a Multi-Phase-Field Model15citations
  • 2019Modeling macroscopic material behavior with machine learning algorithms trained by micromechanical simulationscitations
  • 2019Studying grain boundary strengthening by dislocation-based strain gradient crystal plasticity coupled with a multi-phase-field modelcitations
  • 2019Parameterization of a non-local crystal plasticity model for tempered lath martensite using nanoindentation and inverse methodcitations
  • 2019Optimized reconstruction of the crystallographic orientation density function based on a reduced set of orientationscitations
  • 2014Modeling the microstructure influence on fatigue life variability in structural steelscitations

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Chart of shared publication
Andersson, Tom
2 / 51 shared
Olsson, Pär
2 / 19 shared
Biswas, Abhishek
10 / 27 shared
Costa, Diogo Ribeiro
1 / 3 shared
Heikinheimo, Janne
2 / 6 shared
Lindroos, Matti
2 / 61 shared
Logvinov, Ruslan
1 / 1 shared
Guth, Stefan
1 / 8 shared
Hartmaier, Alexander
18 / 54 shared
Babinský, Tomáš
1 / 7 shared
Shahmardani, Mahdieh
3 / 4 shared
Paul, Shubhadip
1 / 2 shared
Ribeiro Costa, Diogo
1 / 6 shared
Schmidt, Jan
1 / 19 shared
Prasad, Mahesh R. G.
5 / 6 shared
Alam, Masud
1 / 2 shared
Zhao, Liang
1 / 8 shared
Zhang, Junjie
1 / 3 shared
Mahesh, R. G. Prasad
1 / 1 shared
Röttger, Arne
2 / 33 shared
Gao, Siwen
3 / 6 shared
Geenen, Karina
2 / 3 shared
Amin, Waseem
3 / 5 shared
Lian, Junhe
2 / 25 shared
Bilz, Raphael
1 / 3 shared
De Payrebrune, Kristin M.
1 / 4 shared
Klein, Matthias W.
1 / 2 shared
Smaga, Marek
1 / 14 shared
Sridhar, Praveen
1 / 2 shared
Clausmeyer, Till
1 / 51 shared
Maassen, Sascha
1 / 1 shared
Brands, Dominik
1 / 7 shared
Schröder, Jörg
1 / 10 shared
Hielscher, Ralf
2 / 5 shared
Kostka, Aleksander
1 / 39 shared
Niendorf, Thomas
1 / 301 shared
Ali, Muhammad Adil
2 / 9 shared
Nidadavolu, Kapil
1 / 1 shared
Reimann, Denise
1 / 1 shared
Glasmachers, Tobias
1 / 1 shared
Junker, Philipp
1 / 21 shared
Hassan, Hamad Ul
1 / 11 shared
Engels, Jenni Kristin
1 / 2 shared
Sharaf, Mohamed
1 / 1 shared
Münstermann, Simon
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Bleck, Wolfgang
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Kucharczyk, Pawel
1 / 2 shared
Chart of publication period
2023
2022
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2014

Co-Authors (by relevance)

  • Andersson, Tom
  • Olsson, Pär
  • Biswas, Abhishek
  • Costa, Diogo Ribeiro
  • Heikinheimo, Janne
  • Lindroos, Matti
  • Logvinov, Ruslan
  • Guth, Stefan
  • Hartmaier, Alexander
  • Babinský, Tomáš
  • Shahmardani, Mahdieh
  • Paul, Shubhadip
  • Ribeiro Costa, Diogo
  • Schmidt, Jan
  • Prasad, Mahesh R. G.
  • Alam, Masud
  • Zhao, Liang
  • Zhang, Junjie
  • Mahesh, R. G. Prasad
  • Röttger, Arne
  • Gao, Siwen
  • Geenen, Karina
  • Amin, Waseem
  • Lian, Junhe
  • Bilz, Raphael
  • De Payrebrune, Kristin M.
  • Klein, Matthias W.
  • Smaga, Marek
  • Sridhar, Praveen
  • Clausmeyer, Till
  • Maassen, Sascha
  • Brands, Dominik
  • Schröder, Jörg
  • Hielscher, Ralf
  • Kostka, Aleksander
  • Niendorf, Thomas
  • Ali, Muhammad Adil
  • Nidadavolu, Kapil
  • Reimann, Denise
  • Glasmachers, Tobias
  • Junker, Philipp
  • Hassan, Hamad Ul
  • Engels, Jenni Kristin
  • Sharaf, Mohamed
  • Münstermann, Simon
  • Bleck, Wolfgang
  • Kucharczyk, Pawel
OrganizationsLocationPeople

article

Studying Grain Boundary Strengthening by Dislocation-Based Strain Gradient Crystal Plasticity Coupled with a Multi-Phase-Field Model

  • Hartmaier, Alexander
  • Ali, Muhammad Adil
  • Vajragupta, Napat
Abstract

<jats:p>One ambitious objective of Integrated Computational Materials Engineering (ICME) is to shorten the materials development cycle by using computational materials simulation techniques at different length scales. In this regard, the most important aspects are the prediction of the microstructural evolution during material processing and the understanding of the contributions of microstructural features to the mechanical response of the materials. One possible solution to such a challenge is to apply the Phase Field (PF) method because it can predict the microstructural evolution under the influence of different internal or external stimuli, including deformation. To accomplish this, it is necessary to take into account plasticity or, specifically, non-homogeneous plastic deformation, which is particularly important for investigating the size effects in materials emerging at the micron length scale. In this work, we present quasi-2D simulations of plastic deformation in a face centred cubic system using a finite strain formulation. Our model consists of dislocation-based strain gradient crystal plasticity implemented into a PF code. We apply this model to study the influence of grain size on the mechanical behavior of polycrystals, which includes dislocation storage and annihilation. Furthermore, the initial state of the material before deformation is also considered. The results show that a dislocation-based strain gradient crystal plasticity model can capture the Hall-Petch effect in many aspects. The model reproduced the correct functional dependence of the flow stress of the polycrystal on grain size without assigning any special properties to the grain boundaries. However, the predicted Hall-Petch coefficients are significantly smaller than those found typically in experiments. In any case, we found a good qualitative agreement between our findings and experimental results.</jats:p>

Topics
  • impedance spectroscopy
  • polymer
  • grain
  • grain size
  • phase
  • grain boundary
  • experiment
  • simulation
  • dislocation
  • plasticity
  • crystal plasticity