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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in Cooperation with on an Cooperation-Score of 37%

Topics

Publications (4/4 displayed)

  • 2024A predictive mesoscale model for continuous dynamic recrystallization9citations
  • 2023Ballistic tests on hot-rolled Ti-6Al-4V plates1citations
  • 2022Microstructural adjustment of hot-rolled Ti–6Al–4V based on a CCT diagram10citations
  • 2022In-situ high-temperature EBSD characterization during a solution heat treatment of hot-rolled Ti-6Al-4V15citations

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Krumphals, Alfred
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Leitner, Thomas
1 / 6 shared
Buzolin, Ricardo Henrique
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Poletti, Maria Cecilia
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Ferraz, Franz Miller Branco
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Ralph, Benjamin
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Siller, Ingo
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Prestl, Aude
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Clemens, Helmut
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Demarty, Yaël
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Co-Authors (by relevance)

  • Krumphals, Alfred
  • Leitner, Thomas
  • Buzolin, Ricardo Henrique
  • Poletti, Maria Cecilia
  • Ferraz, Franz Miller Branco
  • Ralph, Benjamin
  • Siller, Ingo
  • Prestl, Aude
  • Clemens, Helmut
  • Demarty, Yaël
  • Janda, Alexander
  • Sorger, Marcel
  • Stockinger, Martin
  • Spörk-Erdely, Petra
OrganizationsLocationPeople

article

A predictive mesoscale model for continuous dynamic recrystallization

  • Ebenbauer, Stefan
  • Krumphals, Alfred
  • Leitner, Thomas
  • Buzolin, Ricardo Henrique
  • Poletti, Maria Cecilia
  • Ferraz, Franz Miller Branco
Abstract

<p>Thermomechanical processing of titanium alloys often requires complex routes to achieve the desired final microstructure. Recent advances in modeling and simulation tools have facilitated the optimization of these processing routes. However, existing models often fail to accurately predict microstructural changes at large deformations. In this study, we refine the physical principles of an existing mean-field model and propose a calibration method that uses experimental results under isothermal conditions, accounting for the actual local deformation within the workpiece. This new approach improves the predictability of microstructural changes due to continuous dynamic recrystallization during torsion and compression experiments. Additionally, we integrate the model into the commercial FEM-based DEFORM™ 2D software to predict the local microstructure evolution within hot torsion specimens thermomechanically treated by resistive heating. Validation using non-isothermal deformation tests demonstrates that the model provides realistic simulations at high strain rates, where adiabatic heat modifies temperature, flow stress and microstructure. This study demonstrates the intrinsic correlation between microstructure, flow behavior, and workpiece geometry, considering the impact of deformation history in thermomechanical processes.</p>

Topics
  • microstructure
  • experiment
  • simulation
  • titanium
  • titanium alloy
  • recrystallization