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Multi-objective collaborative optimization of metallurgical properties of iron carbon agglomerates using response surface methodology

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Abstract

Iron carbon agglomerates (ICA) are used to realize low-carbon blast furnace ironmaking. In this study, the central composite design based on response surface methodology was used to synergistically optimize the compressive strength, reactivity, and post-reaction strength of ICA. Results show that the iron ore addition ratio significantly influences the compressive strength, reactivity, and post-reaction strength of ICA. The iron ore addition ratio and carbonization temperature or the iron ore addition ratio and carbonization time exert significant interaction effects on the compressive strength and reactivity of ICA, but it has no interaction effects on the post-reaction strength of ICA. In addition, the optimal process parameters are as follows: iron ore addition ratio of 15.30wt%, carbonization temperature of 1000°C, and carbonization time of 4.27 h. The model prediction results of compressive strength, reactivity, and post-reaction strength are 4026 N, 55.03%, and 38.24%, respectively, which are close to the experimental results and further verify the accuracy and reliability of the models.

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Acknowledgements

This work was financially supported by the National Natural Science Foundation of China-Liaoning Joint Funds (No. U1808212), the National Natural Science Foundation of China (No. 52074080), the Fundamental Research Funds of the Central Universities of China (No. N182504010), and Xingliao Talent Plan (No. XLYC1902118).

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Authors and Affiliations

  1. School of Metallurgy, Northeastern University, Shenyang, 110819, China

    Ji-wei Bao, Zheng-gen Liu, Dong Han, Lai-geng Cao, Jun Guo & Zi-chuan Zhao

  2. Institute for Frontier Technologies of Low-carbon Steelmaking, Northeastern University, Shenyang, 110819, China

    Ji-wei Bao, Zheng-gen Liu, Dong Han, Lai-geng Cao, Jun Guo & Zi-chuan Zhao

  3. Liaoning Province Engineering Research Center for Technologies of Low-Carbon Steelmaking, Northeastern University, Shenyang, 110819, China

    Ji-wei Bao, Zheng-gen Liu, Dong Han, Lai-geng Cao, Jun Guo & Zi-chuan Zhao

  4. State Key Laboratory of Rolling and Automation, Northeastern University, Shenyang, 110819, China

    Man-sheng Chu

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  1. Ji-wei Bao
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  2. Zheng-gen Liu
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  4. Dong Han
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  5. Lai-geng Cao
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  6. Jun Guo
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  7. Zi-chuan Zhao
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Correspondence to Zheng-gen Liu or Man-sheng Chu.

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Bao, Jw., Liu, Zg., Chu, Ms. et al. Multi-objective collaborative optimization of metallurgical properties of iron carbon agglomerates using response surface methodology. Int J Miner Metall Mater 28, 1917–1928 (2021). https://doi.org/10.1007/s12613-020-2188-8

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  • DOI: https://doi.org/10.1007/s12613-020-2188-8

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