Consideration of green intelligent steel processes and narrow window stability control technology on steel quality

Lu Lin; Jia-qing Zeng

doi:10.1007/s12613-020-2246-2

Volume 28 Issue 8

Aug. 2021

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Article Navigation > International Journal of Minerals, Metallurgy and Materials > 2021 > 28(8): 1264-1273

Lu Lin and Jia-qing Zeng, Consideration of green intelligent steel processes and narrow window stability control technology on steel quality, Int. J. Miner. Metall. Mater., 28(2021), No. 8, pp. 1264-1273. https://doi.org/10.1007/s12613-020-2246-2

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Lu Lin and Jia-qing Zeng, Consideration of green intelligent steel processes and narrow window stability control technology on steel quality, Int. J. Miner. Metall. Mater., 28(2021), No. 8, pp. 1264-1273. https://doi.org/10.1007/s12613-020-2246-2

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Invited Review

Consideration of green intelligent steel processes and narrow window stability control technology on steel quality

Lu Lin and
Jia-qing Zeng

+ Author Affiliations

Corresponding author:
Lu Lin E-mail: linlu_luke@sina.com
Received: 19 October 2020; Revised: 23 December 2020; Accepted: 29 December 2020; Available online: 1 January 2021

Abstract

Abstract

In order to promote the intelligent transformation and upgrading of the steel industry, intelligent technology features based on the current situation and challenges of the steel industry are discussed in this paper. Based on both domestic and global research, functional analysis, reasonable positioning, and process optimization of each aspect of steel making are expounded. The current state of molten steel quality and implementation under narrow window control is analyzed. A method for maintaining stability in the narrow window control technology of steel quality is proposed, controlled by factors including composition, temperature, time, cleanliness, and consumption (raw material). Important guidance is provided for the future development of a green and intelligent steel manufacturing process.
- steel manufacturing process;
- steelmaking;
- narrow window;
- brand value;
- green and intelligence;
- process function

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