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| Naji, M. |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Kočí, Jan | Prague |
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| Azam, Siraj |
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| Ali, M. A. |
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| Rančić, M. |
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| Azevedo, Nuno Monteiro |
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Ali, Muhammad Adil
Ruhr University Bochum
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (9/9 displayed)
- 2024Highly complex materials processes as understood by phase-field simulations
- 2024Automated Workflow for Phase‐Field Simulations: Unveiling the Impact of Heat‐Treatment Parameters on Bainitic Microstructure in Steelcitations
- 2023Coherency loss marking the onset of degradation in high temperature creep of superalloyscitations
- 20233D phase-field simulations to machine-learn 3D information from 2D micrographscitations
- 2022Microstructure property classification of nickel-based superalloys using deep learningcitations
- 2022Schmid rotations during high temperature creep in Ni-based superalloys related to coherency losscitations
- 202045-degree rafting in Ni-based superalloys citations
- 2019Studying Grain Boundary Strengthening by Dislocation-Based Strain Gradient Crystal Plasticity Coupled with a Multi-Phase-Field Modelcitations
- 2019Studying grain boundary strengthening by dislocation-based strain gradient crystal plasticity coupled with a multi-phase-field model
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article
Automated Workflow for Phase‐Field Simulations: Unveiling the Impact of Heat‐Treatment Parameters on Bainitic Microstructure in Steel
Abstract
<jats:p>Bainitic steels are extensively utilized across various sectors, such as the automotive and railway industries, owing to their impressive mechanical properties, including strength, hardness, and fatigue resistance. However, the pursuit of achieving the desired optimal mechanical properties presents considerable challenges due to the intricate bainitic microstructures consisting of multiple phases. To tackle these challenges, an automated workflow is used for extracting 2D and 3D microstructural features. The proposed method allows for a detailed examination of the correlations between microstructure characteristics and the processing parameters, specifically the holding temperature during transformation. In these findings, it is revealed that as the holding temperature decreases, there is a notable reduction in microstructural element size and carbon partitioning. Some of the observations are microstructural features such as area, perimeter, and thickness of the bainitic ferrite grains under two different holding temperatures. Phase‐field simulations results show that the microstructures at lower holding temperatures have finer grains. The distributions of grain areas and perimeters are uniform, with smaller grains dominating at low and high isothermal holding temperatures. While the grain thickness measurements from simulations and experiments at high temperature are qualitatively aligned, data from low temperatures show discrepancies.</jats:p>