| People | Locations | Statistics |
|---|---|---|
| Naji, M. |
| |
| Motta, Antonella |
| |
| Aletan, Dirar |
| |
| Mohamed, Tarek |
| |
| Ertürk, Emre |
| |
| Taccardi, Nicola |
| |
| Kononenko, Denys |
| |
| Petrov, R. H. | Madrid |
|
| Alshaaer, Mazen | Brussels |
|
| Bih, L. |
| |
| Casati, R. |
| |
| Muller, Hermance |
| |
| Kočí, Jan | Prague |
|
| Šuljagić, Marija |
| |
| Kalteremidou, Kalliopi-Artemi | Brussels |
|
| Azam, Siraj |
| |
| Ospanova, Alyiya |
| |
| Blanpain, Bart |
| |
| Ali, M. A. |
| |
| Popa, V. |
| |
| Rančić, M. |
| |
| Ollier, Nadège |
| |
| Azevedo, Nuno Monteiro |
| |
| Landes, Michael |
| |
| Rignanese, Gian-Marco |
|
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
| Organizations | Location | People |
|---|
document
Selected metallurgical models for computationally efficient prediction of quality-related issues in continuous slab casting of steel
Abstract
Continuous casting is the most dominating process in modern steelmaking, with more than 95 % of the annual world steel production. Currently, great effort is made to develop online-capable quality prediction systems based on fundamental metallurgical concepts with fast runtimes. The essential part of so-called “quality index” strategies is, of course, their industrial verification but also their further improvement using high-fidelity offline software tools. The present work introduces a 2D offline heat transfer model as a development platform for continuous slab casting. The calculated temperature fields are critically verified with temperature measurements performed during the casting process in the first part. Then, simulation results of two quality indicators are presented, describing (i) the phenomenon of non-uniform heat withdrawal during initial solidification in the casting mold caused by the volume contraction during the peritectic transition and (ii) the risk of internal hot tear segregation formation with particular respect to transversal half-way cracks. The consideration of the actual chemical composition of the steel grade leads to a reasonable agreement between the calculated peritectic indicator and local temperature fluctuations in the mold recorded by permanently installed thermocouples. Based on systematic quality analysis after casting, the hot tear criterion can be successfully applied to reduce the risk of the formation of transverse half-way cracks by adjusting the casting parameters. Finally, a slight modification of the peritectic indicator is implemented into the online capable system “DynaQI” running at the industry partner’s slab caster. Despite the rapid calculation procedure of DynaQI the results show even more improved performance in quality prediction and confirm the approach of offline/online coupled development of quality indices.