Konstantina Traka

ORCID: 0000-0003-1578-4146
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About
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Research Areas
  • Metallurgy and Material Forming
  • Microstructure and Mechanical Properties of Steels
  • Microstructure and mechanical properties
  • Metallurgical Processes and Thermodynamics
  • Hydrogen embrittlement and corrosion behaviors in metals
  • Metal Forming Simulation Techniques
  • Elasticity and Material Modeling
  • Metal Alloys Wear and Properties
  • Corrosion Behavior and Inhibition
  • Aluminum Alloy Microstructure Properties
  • High-Velocity Impact and Material Behavior
  • Solidification and crystal growth phenomena
  • Advanced Mathematical Modeling in Engineering
  • High Temperature Alloys and Creep
  • Powder Metallurgy Techniques and Materials
  • Additive Manufacturing Materials and Processes
  • Elasticity and Wave Propagation
  • Advanced ceramic materials synthesis

Delft University of Technology
2019-2024

Max-Planck-Institut für Nachhaltige Materialien
2017-2022

Materials innovation institute
2021

Max Planck Society
2017-2020

A severe obstacle for the routine use of crystal plasticity models is effort associated with determining their constitutive parameters. Obtaining these parameters usually requires time-consuming micromechanical tests that allow probing individual grains. In this study, a novel, computationally efficient, and fully automated approach introduced which allows identification from macroscopic tests. The presented here uses response surface methodology together genetic algorithm to determine an...

10.1016/j.ijplas.2020.102779 article EN cc-by International Journal of Plasticity 2020-06-26

Physics-based crystal plasticity models rely on certain statistical assumptions about the collective behavior of dislocation populations one slip system and their interactions with dislocations other systems. One main advantage using such physics-based constitutive in kinematic frameworks is suitability for predicting mechanical polycrystals over a wide range deformation temperatures strain rates same parameter set. In this study, ability widely used temperature-dependent...

10.1016/j.mechmat.2021.104117 article EN cc-by Mechanics of Materials 2021-11-06

High-resolution three-dimensional crystal plasticity simulations are used to investigate deformation heterogeneity and microstructure evolution during cold rolling of interstitial free (IF-) steel. A Fast Fourier Transform (FFT)-based spectral solver is conduct using a dislocation-density-based model. The in-grain texture misorientation spread consistent with experimental results obtained electron backscatter diffraction (EBSD) experiments. show that two types strain localization features...

10.1016/j.actamat.2022.118167 article EN cc-by Acta Materialia 2022-07-15

The capability of high-resolution modeling crystals subjected to large plastic strain is essential in predicting many important phenomena occurring polycrystalline materials, such as microstructure, deformation localization and in-grain texture evolution. However, due the heterogeneity polycrystals, simulation mesh gets distorted during deformation. This distortion deteriorates accuracy results, after reaching high local levels, it no longer possible continue simulation. In this work, two...

10.1016/j.ijplas.2021.103078 article EN cc-by International Journal of Plasticity 2021-08-06

The role of microstructural defects (dislocation density and grain boundary areas) on the passive film properties formed cold- hot-rolled interstitial free (IF) steels is investigated in 0.1 M NaOH solution. Electron backscattered diffraction (EBSD) shows higher defect cold-rolled samples. Potentiodynamic polarization (PDP) electrochemical impedance spectroscopy (EIS) results exhibit lower barrier films with increase defects. This attributed to donor measured Mott-Schottky analysis relative...

10.1016/j.corsci.2021.109271 article EN cc-by Corrosion Science 2021-01-20

A cellular automaton algorithm for curvature-driven coarsening is applied to a cold-rolled interstitial-free steel's microstructure - obtained through electron backscatter diffraction (EBSD). Recrystallization nucleation occurs naturally during the simulation, due highly heterogeneous and hence competitive growth among pre-existing (sub) grains. The spatial inhomogeneity of subgrain that takes place derives from large local variations sizes misorientations comprise prior deformed state....

10.1016/j.commatsci.2021.110643 article EN cc-by Computational Materials Science 2021-06-29

Carbon segregation to defects in martensite is a phenomenon known for its occurrence and interference with mechanisms such as carbon partitioning multiphase steels. Especially martensite–austenite processes, trapping at/de-trapping from plays an important role since it interacts the austenite enrichment. In this work, we develop physics-based model which incorporate concurrent evolution of defects. The describes global local, time-dependent distribution between three lattice types, namely...

10.1016/j.actamat.2024.120204 article EN cc-by Acta Materialia 2024-07-18

This work investigates the role of grain size and recrystallization texture in corrosion behavior pure iron 0.1 M sulfuric acid solution. Annealing heat treatment was applied to obtain samples with different average sizes (26, 53 87 µm). Optical microscopy, X-ray diffraction electron backscatter techniques were used characterize microstructure. The EBSD data analysis showed ferrite phase no inclusions very low geometrically necessary dislocation density, indicating strain-free grains...

10.3390/met13020388 article EN cc-by Metals 2023-02-14

This study investigates the (sub)-structure of IF steel in 3 conditions: cold rolled, statically recovered and warm rolled. The exhibits typical <110>//RD <111>//ND fiber textures after both rolling, but distinct recrystallization may emerge during annealing, whereby rolled predominantly is dominated by <001>//ND components. Using short-range misorientation gradient ∆θ/∆x to assess locally stored energy variations it was observed that grains exhibit significantly higher gradients than all...

10.2139/ssrn.4716884 preprint EN 2024-01-01
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