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 |
---|
article
Thermodynamic modeling of the Fe-Sn system including an experimental re-assessment of the liquid miscibility gap
Abstract
The usage of low-grade ferrous scrap has increased over decades to decrease CO2 emissions and to produce steel products at a low cost. A serious problem in melting post-consumer scrap material is the accumulation of tramp elements, e.g., Cu and Sn, in the liquid steel. These tramp elements are difficult to remove during conventional steelmaking processes. Sn is considered as one of the most harmful tramp elements because, together with Cu, it sometimes induces the liquid metal embrittlement in high-temperature ferrous processing, e.g., continuous casting and hot rolling. Furthermore, the chemical interaction between Fe and Sn plays an important role in the Sn smelting process. The raw material used in the Sn smelting process is SnO2 (cassiterite), in which Fe3O4 is a gangue in the Sn ore. In the process, the reduction of Fe3O4 is unavoidable, which results in forming a Fe-Sn alloy (hardhead). The recirculation of the hardhead decreases the furnace capacity and increases the energy consumption in the smelting. The need to efficiently recover Sn from secondary resources is therefore inevitable. The CALculation of PHAse Diagrams (CALPHAD) approach helps to predict the equilibrium state of the multicomponent system. Previously reported studies of the Fe-Sn system show inconsistencies in the calculations and the experimental results. Mainly the miscibility gap in the liquid phase was under debate, as experimental data of the phase boundary are scattered. Experimental study and re-optimization of model parameters were carried out with emphasis on the correct shape of the miscibility gap. Three different experimental techniques were employed: differential scanning calorimetry, electromagnetic levitation, and contact angle measurement. The present thermodynamic model has higher accuracy in predicting the solubility of Sn in the body-centered cubic (bcc), compared to previous assessments. This is achieved by re-evaluating the Gibbs energies of the FeSn and FeSn2 compounds and the peritectic reaction related to Fe5Sn3. Also, the inconsistencies related to the miscibility gap around XSn = 0.31-0.81 were resolved. The database developed in the present study can contribute to the development of a large CALPHAD database containing tramp elements.