| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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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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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Bernhard, Michael Christian
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (18/18 displayed)
- 2024In situ study and assessment of the phosphorus-induced solute drag effect on the grain boundary mobility of austenitecitations
- 2024Experimental investigation and computational thermodynamics of the quaternary system Fe-C-Mn-S
- 2024On the Role of Tramp Elements for Surface Defect Formation in Continuous Casting of Steelcitations
- 2024The simple microsegregation model for steel considering MnS formation in the liquid and solid phasescitations
- 2024Critical Examination of the Representativeness of Austenite Grain Growth Studies Performed In Situ Using HT-LSCM and Application to Determine Growth-inhibiting Mechanismscitations
- 2023Grain boundary mobility of γ-Fe in high-purity iron during isothermal annealingcitations
- 2023Hot tear prediction in large sized high alloyed turbine steel parts - experimental based calibration of mechanical data and model validation
- 2023Thermodynamic modeling of the Fe-Sn system including an experimental re-assessment of the liquid miscibility gapcitations
- 2023Decomposition of γ-Fe in 0.4C-1.8Si-2.8Mn-0.5Al steel during a continuous cooling process: A comparative study using in-situ HT-LSCM, DSC and dilatometrycitations
- 2023Impurities and tramp elements in steel: Thermodynamic aspects and the application to solidification processes
- 2023Einfluss der Düsenparameter auf die Kühlbedingungen in der Sekundärkühlzone einer Brammengießanlagecitations
- 2022A Near-Process 2D Heat-Transfer Model for Continuous Slab Casting of Steelcitations
- 2022Selected metallurgical models for computationally efficient prediction of quality-related issues in continuous slab casting of steel
- 2022Experimental thermodynamics for improving CALPHAD optimizations at the Chair of Ferrous Metallurgy
- 2021Characterization of the gamma-loop in the Fe-P system by coupling DSC and HT-LSCM with complementary in-situ experimental techniquescitations
- 2021Investigations on hot tearing in a continuous slab caster: Numerical modelling combined with analysis of plant results
- 2020Experimental Study of High Temperature Phase Equilibria in the Iron-Rich Part of the Fe-P and Fe-C-P Systemscitations
- 2019High precious phase diagrams – a roadmap for a successful casting processing
Places of action
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document
Hot tear prediction in large sized high alloyed turbine steel parts - experimental based calibration of mechanical data and model validation
Abstract
The main defects in heavy steel castings are related to hot tear formation during <br/>solidification. Depending on the steel grade, design, and local solidification conditions, it is possible to predict regions with higher risk of hot tear formation during the casting process. However, steels containing Boron show more complex crack and defect patterns compared to common steel casting alloys. The mechanisms behind the Boron induced hot tearing is investigated in this work to understand the influence of Boron enrichment during solidification and the influence on hot tearing. The experimental work includes the investigation of phase diagrams and the corresponding fractions of the solid and liquid phases depending on temperature using thermal analysis e.g. DSC and HT-LSCM. The hot tearing sensitivity and mechanical properties during solidification are obtained in the Submerged Split Chill Test, SSCT. In addition IMC-B 3-point bending tests are performed to determine high-temperature material properties in the solid state. The work is part of a research project where the final goal is to improve the hot tear predictions based on experimental work and carry out a benchmark simulation of a real sized casting and use it to show the agreement between the numerical results and extensive non-destructive testing from industrial observations.