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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in Cooperation with on an Cooperation-Score of 37%

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Publications (9/9 displayed)

  • 2024Highly complex materials processes as understood by phase-field simulationscitations
  • 2024Automated Workflow for Phase‐Field Simulations: Unveiling the Impact of Heat‐Treatment Parameters on Bainitic Microstructure in Steel1citations
  • 2023Coherency loss marking the onset of degradation in high temperature creep of superalloys15citations
  • 20233D phase-field simulations to machine-learn 3D information from 2D micrographs7citations
  • 2022Microstructure property classification of nickel-based superalloys using deep learning3citations
  • 2022Schmid rotations during high temperature creep in Ni-based superalloys related to coherency loss1citations
  • 202045-degree rafting in Ni-based superalloys 44citations
  • 2019Studying Grain Boundary Strengthening by Dislocation-Based Strain Gradient Crystal Plasticity Coupled with a Multi-Phase-Field Model15citations
  • 2019Studying grain boundary strengthening by dislocation-based strain gradient crystal plasticity coupled with a multi-phase-field modelcitations

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  • Salama, Hesham
  • Shchyglo, Oleg
  • Uddagiri, Murali
  • Steinbach, Ingo
  • Nerella, Dhanunjaya Kumar
  • Krupp, Ulrich
  • Gulbay, Oguz
  • Ackermann, Marc
  • Stricker, Markus
  • Jiang, Yuxun
  • Eggeler, Gunther
  • Roslyakova, Irina
  • Bürger, David
  • Obaied, Abdulmonem
  • Nwachukwu, Uchechukwu
  • Horst, Oliver Martin
  • Amin, Waseem
  • Hartmaier, Alexander
  • Vajragupta, Napat
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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