2020
DOI: 10.1088/1757-899x/971/4/042091
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Simulation of the steelmaking process using collision avoiding cranes moving models

Abstract: The paper discusses a steelmaking process and its optimisation using simulation. The optimisation goal is to reduce the total distance travelled by cranes in all spans as well as to reduce the steel waiting time before casting on a continuous casting machine. Models of the process under study have been developed in the AnyLogic simulation software and the modelling subsystem of the metallurgical enterprise automated system. A comparative analysis of the simulation results has been conducted. All results are fe… Show more

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Cited by 2 publications
(2 citation statements)
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“…Brämming et al [27] applied multivariate data analysis (MVDA) to develop a dynamic system for vibration and acoustic measurements of converters to predict the tilt of the converter. Antonova et al [28] validated the proposed method's impact on the steelmaking process. Kaushik et al [29] evaluated the influence of process conditions on product performance using various techniques, such as full steel and slag chemical measurements, inclusions analysis, process analysis, and thermodynamics.…”
Section: Intelligent Application Of Steelmaking Processmentioning
confidence: 98%
See 1 more Smart Citation
“…Brämming et al [27] applied multivariate data analysis (MVDA) to develop a dynamic system for vibration and acoustic measurements of converters to predict the tilt of the converter. Antonova et al [28] validated the proposed method's impact on the steelmaking process. Kaushik et al [29] evaluated the influence of process conditions on product performance using various techniques, such as full steel and slag chemical measurements, inclusions analysis, process analysis, and thermodynamics.…”
Section: Intelligent Application Of Steelmaking Processmentioning
confidence: 98%
“…In recent years, intelligent research on the steelmaking process has garnered widespread attention and development. The steelmaking industry is gradually achieving automation control and intelligent optimization [27][28][29]. Brämming et al [27] applied multivariate data analysis (MVDA) to develop a dynamic system for vibration and acoustic measurements of converters to predict the tilt of the converter.…”
Section: Intelligent Application Of Steelmaking Processmentioning
confidence: 99%