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Ironmaking & Steelmaking
Processes, Products and Applications
Volume 44, 2017 - Issue 1
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Original Articles

Design and optimisation of charging ingredients and structure in an ironmaking system (Part II)

B.-X. WangCollege of Metallurgy and Energy Engineering, North China University of Science and Technology, Tangshan, Hebei063009, China
,
W. ChenCollege of Metallurgy and Energy Engineering, North China University of Science and Technology, Tangshan, Hebei063009, ChinaCorrespondence[email protected]
,
Y.-Z. ZhangCollege of Metallurgy and Energy Engineering, North China University of Science and Technology, Tangshan, Hebei063009, China
,
Y. ChenCollege of Metallurgy and Energy Engineering, North China University of Science and Technology, Tangshan, Hebei063009, China
&
Y.-H. ZhuCollege of Metallurgy and Energy Engineering, North China University of Science and Technology, Tangshan, Hebei063009, China
Pages 59-65 | Received 27 Dec 2015, Accepted 15 Feb 2016, Published online: 06 Apr 2016

References

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  • S.-L. Wu, H.-L. Han, S.-B. Xu and B. Niu: ‘Study on mathematical model for burden optimization of blast furnace’, Iron Steel, 2007, 42, (9), 19–23.
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  • B.-X. Wang, W. Chen, H.-L. Han and Y.-P. Sun: ‘Design and application of computer software system for blast furnace composition material calculation’, J. Hebei Inst. Technol., 2006, 28, (3), 21–24.
  • W. Chen, B.-X. Wang and H.-L. Han: ‘Prediction and control for the silicon content in pig iron of blast furnace by integrating artificial neural network with genetic algorithm’, Ironmak. Steelmak., 2009, 37, 458–463. doi: 10.1179/174328109X445769
  • W. Chen, H.-J. Zhang, B.-X. Wang, Y. Chen and X. Li: ‘Prediction model of the sinter comprehensive performance based on neural network’, Adv. Mater. Res., 2013, 753–755, 62–65. doi: 10.4028/www.scientific.net/AMR.753-755.62

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