Dynamic optimization method of secondary cooling water quantity in continuous casting based on three-dimensional transient nonlinear convective heat transfer equation

•3-Dimensional transient nonlinear convective heat transfer equation is used.•A dynamic optimization method is developed for setting the value of water flow rate.•A modified adaptive step size quasi-Newton parallel iterative algorithm is presented.•Actual data in a steel plant are used to demonstrat...

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Vydané v:Applied thermal engineering Ročník 160; s. 113988
Hlavní autori: Yu, Yang, Luo, Xiaochuan, (Yulin) Zhang, Huaxi, Zhang, Qingxin
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Oxford Elsevier Ltd 01.09.2019
Elsevier BV
Predmet:
Adaptive algorithms
Casting
Casting defects
Computing time
Continuous casting
Convective heat transfer
Cooling
Defects
Dynamic optimization problem
Flow velocity
Graphics processing unit
Heat transfer
Heat transfer coefficient
Iron and steel plants
Iterative algorithms
Iterative methods
Optimization
Quasi-Newton method
Run time (computers)
Secondary cooling zone
Shrinkage
Temperature distribution
Variation
Water
Water flow
Secondary cooling zone
Quasi-Newton method
Heat transfer coefficient
Dynamic optimization problem
Graphics processing unit
ISSN:1359-4311, 1873-5606
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Shrnutí:•3-Dimensional transient nonlinear convective heat transfer equation is used.•A dynamic optimization method is developed for setting the value of water flow rate.•A modified adaptive step size quasi-Newton parallel iterative algorithm is presented.•Actual data in a steel plant are used to demonstrate the validity of optimization method. The defects of a slab, such as shrinkage and crack, are related to non-uniform cooling in secondary cooling zone (SCZ) of continuous casting, hence setting the value of water flow rate in the SCZ plays a vital role for the quality of slab. The traditional scheme can lead to the great fluctuation of temperature when the casting speed changes. Therefore, based on 3-dimensional transient nonlinear convective heat transfer equation of a slab, this paper develops a dynamic optimization method for setting the value of water flow rate. However, it is difficult to realize this method due to the following two causes. 1. It costs too much time to calculate the 3-dimensional transient nonlinear convective heat transfer equation. 2. It is not easy to select a suitable step size for the optimization algorithm. So this paper presents a modified adaptive step size quasi-Newton parallel iterative algorithm, which can not only reduce the computing time but also select a suitable step size. Actual data in a steel plant are used to demonstrate its validity, and the results clearly show that this scheme can greatly reduce the running time and give a more stable temperature distribution.
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ISSN:1359-4311
1873-5606
DOI:10.1016/j.applthermaleng.2019.113988