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Ironmaking & Steelmaking
Processes, Products and Applications
Volume 46, 2019 - Issue 2
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Research Articles

A mathematical model to control thermal stability of blast furnace using proactive thermal indicator

Ashish AgrawalAutomation Division, Tata Steel, Jamshedpur, IndiaCorrespondence[email protected]
ORCID Iconhttp://orcid.org/0000-0002-5550-0147
ORCID Icon,
Mahesh K. AgarwalBlast Furnace Operation, Tata Steel, Jamshedpur, India
,
Anil K. KothariHead Iron & Coke Group, Tata Steel, Jamshedpur, India
&
Santanu MallickG BF, Tata Steel, Jamshedpur, India
Pages 133-140 | Received 17 May 2017, Accepted 28 Jun 2017, Published online: 06 Aug 2017

References

  • Staib C, Michard J. On-line computer control for the blast furnace. Part II. Control of furnaces with sinter and complex burdens. JOM. 1965;17(2):165–170. doi: 10.1007/BF03378325
  • Chen CL, Hsieh CT, Chao YC. Expert system for real-time control of an ironmaking reactor. Int J Syst Sci. 1992;23(1):17–35. doi: 10.1080/00207729208949186
  • Hatano M, Misaka Y, Matoba Y, et al. A mathematical model of blast furnace for control of hot metal temperature. Trans Iron Steel Inst Jpn. 1982;22:524–533. doi: 10.2355/isijinternational1966.22.524
  • Martín RD, Obeso F, Mochón J, et al. Hot metal temperature prediction in blast furnace using advanced model based on fuzzy logic tools. Ironmak Steelmak. 2007;34(3):241–247. doi: 10.1179/174328107X155358
  • Jiménez J, Mochón J, de Ayala JS, et al. Blast furnace hot metal temperature prediction through neural networks-based models. ISIJ Int. 2004;44(3):573–580. doi: 10.2355/isijinternational.44.573
  • Saxén H, Pettersson F. Nonlinear prediction of the hot metal silicon content in the blast furnace. ISIJ Int. 2007;47(12):1732–1737. doi: 10.2355/isijinternational.47.1732
  • Saxén H. Short-term prediction of silicon content in pig iron. Can Metall Q. 1994;33(4):319–326. doi: 10.1179/cmq.1994.33.4.319
  • Wang LH, Gao S, Qu X, et al. Prediction modeling of hot metal silicon content in blast furnace based on PSO-LSSVM. Adv Mater Res. 2013;721:461–465. doi: 10.4028/www.scientific.net/AMR.721.461
  • Bhattacharya T. Prediction of silicon content in blast furnace hot metal using partial least squares (PLS). ISIJ Int. 2005;45(12):1943–1945. doi: 10.2355/isijinternational.45.1943
  • Pandey BD, Yadav US, Ramna RV. Control of silicon in hot metal-theoretical considerations. Tata Search. 1996;58–64.
  • Pal J, Goswami MC. Control of silicon in hot metal. J Metall Mater Sci. 2004;46(1):23–38.
  • Agrawal A, Kor SC, Tripathi VR, et al. Real-time blast furnace hearth liquid level monitoring system. Ironmak Steelmak. 2016;43(7):550–558. doi: 10.1080/03019233.2015.1127451

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