Detail publikace

OPTIMIZATION ALGORITHM AND NUMERICAL SIMULATION FOR CONTINUOUS CASTING PROCESS

Originální název

OPTIMIZATION ALGORITHM AND NUMERICAL SIMULATION FOR CONTINUOUS CASTING PROCESS

Anglický název

OPTIMIZATION ALGORITHM AND NUMERICAL SIMULATION FOR CONTINUOUS CASTING PROCESS

Jazyk

en

Originální abstrakt

This paper deals with two mathematical models to optimization of a continuous casting process control. The first model is our original numerical model of temperature field, while the second one is represent a black-box type of optimization algorithm. The aim of optimization and control of the steel slabs production is to achieve both the maximum possible savings and product quality. The main focus is on water spray control in a secondary cooling zone. The continuous casting process is described by a three-dimensional mathematical model, containing a Fourier-Kirchhoff equation together with boundary conditions. From a material perspective, presence of phase and structural changes is modeled by an enthalpy method, where the enthalpy is computed from the chemical composition of the steel by using solidification analysis package IDS. The optimization part is performed by our heuristic self-regulating algorithm based on the idea of simulated annealing. Software implementation for the mathematical model of the temperature field was executed in MATLAB and regulating model in Python. Final results from both models are discussed. Future development of this research, which considers more factors, and which aims to come very close to the underlying real process, is presented at the end of this paper.

Anglický abstrakt

This paper deals with two mathematical models to optimization of a continuous casting process control. The first model is our original numerical model of temperature field, while the second one is represent a black-box type of optimization algorithm. The aim of optimization and control of the steel slabs production is to achieve both the maximum possible savings and product quality. The main focus is on water spray control in a secondary cooling zone. The continuous casting process is described by a three-dimensional mathematical model, containing a Fourier-Kirchhoff equation together with boundary conditions. From a material perspective, presence of phase and structural changes is modeled by an enthalpy method, where the enthalpy is computed from the chemical composition of the steel by using solidification analysis package IDS. The optimization part is performed by our heuristic self-regulating algorithm based on the idea of simulated annealing. Software implementation for the mathematical model of the temperature field was executed in MATLAB and regulating model in Python. Final results from both models are discussed. Future development of this research, which considers more factors, and which aims to come very close to the underlying real process, is presented at the end of this paper.

Dokumenty

BibTex


@inproceedings{BUT74835,
  author="Tomáš {Mauder} and Josef {Štětina}",
  title="OPTIMIZATION ALGORITHM AND NUMERICAL SIMULATION FOR CONTINUOUS CASTING PROCESS",
  annote="This paper deals with two mathematical models to optimization of a continuous casting process control. The first model is our original numerical model of temperature field, while the second one is represent a black-box type of optimization algorithm. The aim of optimization and control of the steel slabs production is to achieve both the maximum possible savings and product quality. The main focus is on water spray control in a secondary cooling zone. The continuous casting process is described by a three-dimensional mathematical model, containing a Fourier-Kirchhoff equation together with boundary conditions. From a material perspective, presence of phase and structural changes is modeled by an enthalpy method, where the enthalpy is computed from the chemical composition of the steel by using solidification analysis package IDS. The optimization part is performed by our heuristic self-regulating algorithm based on the idea of simulated annealing. Software implementation for the mathematical model of the temperature field was executed in MATLAB and regulating model in Python. Final results from both models are discussed. Future development of this research, which considers more factors, and which aims to come very close to the underlying real process, is presented at the end of this paper.",
  booktitle="Technical Computing Prague 2011",
  chapter="74835",
  howpublished="print",
  year="2011",
  month="november",
  pages="83--91",
  type="conference paper"
}