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Process optimization of steel production by continuous casting method

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2020
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Abstract (EN)

In this study, the cooling conditions of the continuous casting process were optimized for the realization of steel production technologies and quality steel production. In today's technology, it is aimed to obtain predictions for the problems that may occur with the stability of the process by performing simulated productions before starting the actual production conditions of the products. In this context, firstly, mathematical modeling of cooling conditions in continuous casting process has been realized. With this modeling, the cooling coefficients of the process were obtained by accepting certain boundary conditions. In the determination of these coefficients, the effect of steel alloy elements, casting temperature, casting speed, mold length, mold powder and oscillation parameters on heat transfer were mentioned. Within the scope of this study, heat transfer coefficients, cooling conditions, enthalpy, entropy, gibbs free energy, temperature dependent tensile and yield strength of the material belonging to S235JR steel quality were obtained by using JMatPro software. These data were transferred to TherCast software which is used for continuous casting simulation and specific data of S235JR quality used in casting were used. TherCast software provides solution with turbulent flow, determination of liquid metal behavior, determination of phase changes along flow, changing spray cooling models, using different heat transfer models in mold and determination of continuous casting machine parameters. In the simulation study, in-mold heat transfer optimization was performed depending on the casting temperature and casting parameters. This optimization process was compared with the casting temperature and casting speed determined by the continuous casting machine manufacturers and the shell thickness obtained was verified in the simulation environment. As a result of the study, the results obtained were equalized and different casting speed and temperature tests were performed with determined heat transfer coefficients.

Author

Musa Mert Özdemir

How to Cite

Musa Mert Özdemir (Master Thesis). Process optimization of steel production by continuous casting method, 2020, Manisa Celal Bayar University.

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