Development of System Technologies in Steelmaking Process

Tamaki, Hisashi; Kobayashi, H.; Ago, Masatoshi; Kuyama, Shuji; Nakatsuji, Kazuhiro; Keiichi, Fukuda

doi:10.2355/tetsutohagane.100.485

Tetsu-to-Hagane

2014

DOI: 10.2355/tetsutohagane.100.485

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Development of System Technologies in Steelmaking Process

Hisashi Tamaki¹,

H. Kobayashi²,

Masatoshi Ago³

et al.

Abstract: Synopsis :In recent years, system technologies have been developed remarkably and also indispensable for steelmaking processes, especially for guaranteeing higher quality of products as well as realizing higher efficiency and lower cost in manufacturing. In this paper, a state-of-the-art survey concerning the development and the utilization of system technologies is presented with some typical examples, and future directions are discussed based on the analysis of the current situations and issues.

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Cited by 2 publications

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Development of Steel Ladle Assignment Planning Algorithm

Nakatsuji¹

2018

Tetsu-to-Hagane

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The reduction of molten steel temperature from the tapping to the casting is crucial for energy conservation in the steel making process. The one of the reasons that the steel temperature reduction is the heat transfer from molten steel to ladle. After the end of casting, the ladle is empty and its temperature continues to drop until next assignment to the appropriate tapping which is scheduled in advance. Therefore, it is important to schedule the ladle assignment plan with taking account into shorten the ladle empty time. The goal of this study is development of the algorithm which can calculate the optimal plan satisfied the several complex operational constraints. We developed the algorithm based on the breadth-first search algorithm. It has features to search the wide range of solution space while limiting search space in order to search optimal solution efficiently. This algorithm is simplified to treat the change and addition of operational constraint flexibly. As the result of test using actual data, this algorithm could calculate the plans satisfied all the constraints while the representative optimization methods, which are using genetic algorithm and mixed integer liner programming, couldn't. Furthermore, the result shows 20 % reduction of the ladle empty time compared with the conventional result scheduled by operator.

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Development of Steel Ladle Assignment Planning Algorithm

Nakatsuji¹

2018

Tetsu-to-Hagane

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An Optimization for Ore Blending Schedules Using Mathematical Programming Methods

Kumano¹,

Yoshinari²,

Yamaguchi³

et al. 2020

Tetsu-to-Hagane

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We have developed an optimal scheduling method for raw material operations aiming the raw materials cost reduction. In this paper, we report optimization approaches to minimize the cost of ore blending in steel works. The ore blending problem is to make schedules for the purpose of cost minimization under several constraints such as the stock in yards, ingredients in sintered ore. When formulating as a mathematical model, nonlinearity exists in this problem and make it complicated. However, this problem has characteristic that becomes a linear problem by fixing several key variables as constants. To overcome the nonlinearity, we developed our original Hybrid model that was a combination of Particle Swarm Optimization (PSO) and Linear Programming method (LP). We applied PSO to search the best way of fixing key variables, and obtained blending schedules by solving LPs. Our Hybrid model searched wide area effectively, and derived the solution within 2 minutes. Numerical experiments indicated a cost reduction of secondary materials by 1%.

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Development of System Technologies in Steelmaking Process

Cited by 2 publications

References 10 publications

Development of Steel Ladle Assignment Planning Algorithm

Development of Steel Ladle Assignment Planning Algorithm

An Optimization for Ore Blending Schedules Using Mathematical Programming Methods

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