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Optimization of Secondary Cooling Parameters of Continuous Steel Casting
Klimeš, Lubomír ; Raudenský, Miroslav (referee) ; Pyszko, René (referee) ; Buček, Pavol (referee) ; Štětina, Josef (advisor)
Continuous casting is a dominant production technology of steelmaking which is currently used for more that 95% of the world steel production. Mathematical modelling and optimal control of casting machine are crucial tasks in continuous steel casting which directly influence productivity and quality of produced steel, competitiveness of steelworks, safety of casting machine operation and its impact on the environment. This thesis concerns with the development and implementation of the numerical model of temperature field for continuously cast steel billets and its use for optimal control of the casting machine. The numerical model was developed and implemented in MATLAB. Due to computational demands the model was parallelized by means of the computation on graphics processing units NVIDIA with the computational architecture CUDA. Validation and verification of the model were performed with the use of operational data from Trinecke zelezarny steelworks. The model was then utilized as a part of the developed model-based predictive control system for the optimal control of dynamic situations in the casting machine operation. The behaviour of the developed control system was examined by means of dynamic model situations that have confirmed the ability of the implemented system to optimally control dynamic operations of the continuous casting machine. Both the numerical model of the temperature field and the model-based predictive control system have been implemented so that they can be modified for any casting machine and this allows for their prospective commercial applications.
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Design and optimization of temperature fluctuation dumper with latent heat thermal energy storage
Kozubík, Lukáš ; Charvát, Pavel (referee) ; Klimeš, Lubomír (advisor)
The goal of this master’s thesis is creating a model of the attenuation of the fluid temperature fluctuations using methods described in the thesis. PCM is used to attenuation of fluctuations. This thesis is example of utilization PCM in technical practice. Numerical calculation of PCM phase change uses the method of effective heat capacity and enthalpy method. A part of this thesis also forms a theoretical basis for heat transfer described by differential equations. The final part of the thesis is dedicated to the optimization of the model and the description of the optimization methods.
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Design and optimization of temperature fluctuation dumper with latent heat thermal energy storage
Kozubík, Lukáš ; Charvát, Pavel (referee) ; Klimeš, Lubomír (advisor)
The goal of this master’s thesis is creating a model of the attenuation of the fluid temperature fluctuations using methods described in the thesis. PCM is used to attenuation of fluctuations. This thesis is example of utilization PCM in technical practice. Numerical calculation of PCM phase change uses the method of effective heat capacity and enthalpy method. A part of this thesis also forms a theoretical basis for heat transfer described by differential equations. The final part of the thesis is dedicated to the optimization of the model and the description of the optimization methods.
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Optimization of Secondary Cooling Parameters of Continuous Steel Casting
Klimeš, Lubomír ; Raudenský, Miroslav (referee) ; Pyszko, René (referee) ; Buček, Pavol (referee) ; Štětina, Josef (advisor)
Continuous casting is a dominant production technology of steelmaking which is currently used for more that 95% of the world steel production. Mathematical modelling and optimal control of casting machine are crucial tasks in continuous steel casting which directly influence productivity and quality of produced steel, competitiveness of steelworks, safety of casting machine operation and its impact on the environment. This thesis concerns with the development and implementation of the numerical model of temperature field for continuously cast steel billets and its use for optimal control of the casting machine. The numerical model was developed and implemented in MATLAB. Due to computational demands the model was parallelized by means of the computation on graphics processing units NVIDIA with the computational architecture CUDA. Validation and verification of the model were performed with the use of operational data from Trinecke zelezarny steelworks. The model was then utilized as a part of the developed model-based predictive control system for the optimal control of dynamic situations in the casting machine operation. The behaviour of the developed control system was examined by means of dynamic model situations that have confirmed the ability of the implemented system to optimally control dynamic operations of the continuous casting machine. Both the numerical model of the temperature field and the model-based predictive control system have been implemented so that they can be modified for any casting machine and this allows for their prospective commercial applications.
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