Numerical modelling is becoming an essential part of research in the field of steel metallurgy at present. In numerical modelling, the operating equipment is replaced by a mathematical model, which consists of a system of partial differential equations. Numerical modelling is used to display processes and results that cannot be monitored under operating conditions. From numerical modelling we can obtain the results of the flow field, we can monitor the change in temperature and monitor the wear of the refractory lining, etc. This paper deals with numerical modelling of steel flow in the tundish. The tundish is a very important part of continuous casting. It supplies liquid steel during the ladle change and distributes steel between casting strands. The tundishes are made of a welded steel shell and lined with a refractory material. During casting steel, the tundish is the last reactor where it is possible to influence the quality and purity of the cast steel. It is necessary to know the processes in the tundish. This presented paper compares the results obtained by flowing steel in the tundish at non-isothermal conditions. A five-strand asymmetric tundish for bloom casting was used for numerical simulations. The paper also provides an overview of the issues of numerical simulations and their applicability in practice. Fluent software, which is part of the ANSYS package, was used for numerical simulations.
The article will deal with the determination of austenite decomposition temperatures using the available SW FactSage. The determination of austenite decomposition temperatures is one of the basic information that can provide the technologist and subsequently help to change the properties of steel during steel processing. Austenite is one of the interstitial carbon solutions. Austenite is characterized by a cubic area-centered lattice and its structure is formed by regular grains. Various phases or structural components may form during cooling of austenite. Depending on the cooling of the steel, perlite, bainite and martensite may be formed. During the cooling of the steel, the area-centered lattice changes to a spatially centered iron lattice alfa. The aim of the presented work will be to determine the decomposition temperatures of austenite in 41Cr4 steel.
The subject of this paper is the analysis of phase transformation temperatures, specifically liquidus temperature (TL) for steel quality 41Cr4. To calculate the temperatures, 66 different variants of the chemical composition of a given steel grade were compiled. The calculations were performed in the CompuTherm thermodynamic database using the Lever microsegregation model. The resulting temperatures are further supplemented by multiple regression analysis, which considers the dependence on the chemical temperature. The results of the regression analysis are used to design a regression equation to calculate the liquidus temperature. It is clear from the obtained results that the chemical composition of the steel has a significant temperature effect on the change in the calculated values.
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