MODEL FOR BURDEN DISTRIBUTION TRACKING IN THE BLAST FURNACE

References

• Poveromo , J. J. 1995–1996 . Burden distribution fundamentals . Iron & Steelmaker , : 22 – 23 . (5)/95-(3)/96
   Google Scholar
• Omori , Y. 1987 . Blast Furnace Phenomena and Modelling , London : Elsevier . The Iron and Steel Institute of Japan
   Google Scholar
• Iizuka , M. , Kajikawa , S. , Nakatani , G. , Wakimoto , K. and Matsumura , K. 1980 . Development and application of measuring equipment for burden distribution in the blast furnace . Nippon Kokan Technical Report Overseas , 30 : 13 – 23 .
   Google Scholar
• Iwamura , T. , Sakimura , H. , Maki , Y. , Kawai , T. and Asano , Y. 1982 . Sensor and signal quantification for blast furnace gas distribution control . Trans. ISIJ , 22 : 764 – 773 .
   Google Scholar
• Kajiwara , Y. , Yimbo , T. and Sakai , T. 1983 . Development of a simulation model for burden distribution at blast furnace top . Trans. ISIJ , 23 : 1045 – 1052 .
   Google Scholar
• Mawhinney , D. D. , Presser , A. and Koselke , T. G. 1993 . Advanced burden level measurement radars using FFT signal processing techniques . Proc. Ironmaking Conf., ISS , 52 : 563 – 570 .
   Google Scholar
• Grisse , H. J. 1991 . Radar technology makes the blast furnace more transparent . Steel Times International , : 612 – 614 . Nov. 1991
   Google Scholar
• Kowalski , W. , Bachhofen , H. J. , Beppler , E. , Kreibich , K. , Mülheims , K. , Peters , M. and Wieters , C. U. 1995 . Process control techniques at the blast furnaces of Thyssen Stahl AG . Proc. Ironmaking Conf., ISS , 54 : 231 – 239 .
   Google Scholar
• Nicolle , R. , Thirion , C. , Pochopien , P. and Le Scour , M. 1987 . Gas distribution in the shaft: A French experience . Ironmaking Conf., ISS , 46 : 217 – 225 .
   Google Scholar
• Itaya , H. , Aratani , F. , Kani , A. and Kiyohara , S. 1982 . A simplified mathematical model for the estimation of 2-dimensional temperature distribution in the blast furnace . Rev. Me´t., CITI , 79 : 443 – 450 .
   Google Scholar
• Nikus , M. 2001 . A set of models for on-line estimation of burden and gas distribution in the blast furnace , Finland : Heat Engineering Laboratory, Åbo Akademi University . Ph.D. dissertation
   Google Scholar
• Saxe´n , H. , Nikus , M. and Hinnelä , J. 1998 . Burden distribution estimation in the blast furnace from stockrod and probe signals . Steel Research , 69 : 406 – 412 .
   Google Scholar
• Hinnelä , J. and Saxe´n , H. 2001 . Neural Network Model of Burden Layer Formation Dynamics in the Blast Furnace . ISIJ International , 41 : 142 – 150 .
   Web of Science ®Google Scholar
• Ichida , M. , Nishihara , K. , Tamura , K. , Sugata , M. and Ono , H. 1991 . Influence of ore/coke distribution on descending and melting behaviour of burden in blast furnace . ISIJ International , 31 : 505 – 515 .
   Web of Science ®Google Scholar
• Ichida , M. , Takao , M. , Kunitomo , K. , Matsuzak , S. , Deno , T. and Nishihara , K. 1996 . Radial distribution of burden descent velocity near burden surface in blast furnace . ISIJ International , 36 : 493 – 502 .
   Web of Science ®Google Scholar
• Michelsson , M. 1995 . “Investigation of the effect of movable armors and the falling trajectory of coke” (in Swedish) , Koverhar, , Finland : Fundia Wire Oy Ab . Internal report 9501
   Google Scholar
• Uenaka , T. , Miyatani , H. , Hori , R. , Noma , F. , Shimizu , M. , Kimura , Y. and Inaba , S. 1988 . “Improvement of the blast furnace operation with center coke charging at the Kakogawa no. 3 BF,” . Ironmaking Conf., ISS , 47 : 589 – 594 .
   Google Scholar
• Hinnelä , J. , Saxe´n , H. and Pettersson , F. 2003 . Modeling of the Blast Furnace Burden Distribution by Evolving Neural Networks . Industrial and Engineering chemistry Research , 42 : 2314 – 23230 .
   Web of Science ®Google Scholar
• Karjalahti , T. 1994 . “Charge distribution in the blast furnace using a 1/10 small scale model” (in Finnish) , Oulu, , Finland : University of Oulu . M.Sc. Thesis
   Google Scholar
• Hague , M. J. and Dichter , T. M. 2000 . Blast furnace burden level and profile measurements using microwave devices . European Coke and Ironmaking Congress , 4 : 315 – 320 . Proc.
   Google Scholar