Evolution of Charging Programs for Achieving Required Gas Temperature Profile in a Blast Furnace

References

• Poveromo, J.J. Blast furnace burden distribution fundamentals. Iron and Steelmaker 1995–1996, 22–23.
   Google Scholar
• Ichida, M.; Nishihara, K.; Tamura, K.; Sugata, M.; Ono, H. Influence of ore/coke distribution on descending and melting behavior of burden in blast furnace. ISIJ International 1991, 31, 505–514.
   Web of Science ®Google Scholar
• Kon, T.; Natsui, S.; Matsuhashi, S.; Ueda, S.; Inoue, R.; Ariyama, T. Influence of cohesive zone thickness on gas flow in blast furnace analyzed by DEM‐CFD model considering low coke operation. Steel Research International 2013, 84, 1146–1156.
   Web of Science ®Google Scholar
• Pettersson, F.; Saxén, H.; Hinnelä, J. A genetic algorithm evolving charging programs in the ironmaking blast furnace. Materials and Manufacturing Processes 2005, 20, 351–361.
   Web of Science ®Google Scholar
• Mitra, T.; Mondal, D.N.; Pettersson, F.; Saxén, H. Evolution of charging programs for optimal burden distribution in the blast furnace. Computer Methods in Material Science 2013, 13, 99–106.
   Google Scholar
• Mitra, T.; Saxén, H. Model for fast evaluation of charging programs in the blast furnace. Metallurgical and Materials Transactions B 2014, 45(6), 2382–2394. doi:10.1007/s11663-014-0156-2.
   Web of Science ®Google Scholar
• Hattori, M.; Iino, B.; Shimomura, A.; Tsukiji, H.; Ariyama, T. Development of burden distribution simulation model for bell-less top in a large blast furnace and its application. ISIJ International 1993, 33, 1070–1077.
   Web of Science ®Google Scholar
• Radhakrishnan, V.R.; Ram, K.M. Mathematical model for predictive control of the bell-less charging system of a blast furnace. Journal of Process Control 2001, 11, 565–586.
   Web of Science ®Google Scholar
• Xu, J.; Wu, S.; Kou, M.; Zhang, L.; Yu, X. Circumferential burden distribution behaviors at bell-less top blast furnace with parallel type hoppers. Applied Mathematical Modelling 2011, 35, 1439–1455.
   Web of Science ®Google Scholar
• Park, J.I.; Baek, U.H.; Jang, K.S.; Oh, H.S.; Han, J.W. Development of the burden distribution and gas flow model in the blast furnace shaft. ISIJ International 2011, 51, 1617–1623.
   Web of Science ®Google Scholar
• Natsui, S.; Nogami, H.; Ueda, S.; Kano, J.; Inoue, R.; Ariyama, T. Simultaneous three-dimensional analysis of gas-solid flow in blast furnace by combining discrete element method and computational fluid dynamics. ISIJ International 2011, 51, 41–50.
   Web of Science ®Google Scholar
• Yagi, J.; Muchi, I. Improved mathematical model for estimating process. Transactions ISIJ 1970, 10, 181–187.
   Google Scholar
• Smits, A.J.; Dussauge, J.-P. Turbulent Shear Layers in Supersonic Flow; Springer: New York, 2006.
   Google Scholar
• Oka, S. Fluidized Bed Combustion; CRC Press: New York, 2003.
   Google Scholar
• Santos, C.A.; Spim, J.A.; Garcia, A. Mathematical modeling and optimization strategies (genetic algorithm and knowledge base) applied to the continuous casting of steel. Engineering Applications of Artificial Intelligence 2003, 16, 511–527.
   Web of Science ®Google Scholar
• Chakraborti, N. Genetic algorithms in these changing steel times. Ironmaking and Steelmaking 2005, 32, 401–404.
   Web of Science ®Google Scholar
• Agarwal, A.; Tewari, U.; Pettersson, F.; Das, S.; Saxén, H.; Chakraborti, N. Analyzing blast furnace data using evolutionary neural network and multi-objective genetic algorithms. Ironmaking and Steelmaking 2010, 37, 353–359.
   Web of Science ®Google Scholar
• Mitra, T.; Helle, M.; Chakraborti, N.; Saxén, H.; Pettersson, F. Optimization of top gas recycling conditions in the blast furnace by genetic algorithms. Materials and Manufacturing Processes 2011, 26, 475–480.
   Web of Science ®Google Scholar
• Datta, S.; Chattopadhyay, P.P. Soft computing techniques in advancement of structural metals. International Materials Review 2013, 58, 475–504.
   Web of Science ®Google Scholar
• Deo, B.; Deb, K.; Jha, S.; Sudhakar, V.; Sridhar, N.V. Optimal operating conditions for the primary end of an integrated steel plant: genetic adaptive search and classical techniques. ISIJ International 1998, 38, 98–105.
   Web of Science ®Google Scholar
• Cao, W.; Zhang, J.; Zhang, T.; Su, B.; Ren, S. A genetic algorithm application to minimize pig iron cost. ISIJ International 1998, 53, 207–212.
   Web of Science ®Google Scholar
• Holland, J.H. Adaptation in Natural and Artificial Systems; The University of Michigan Press: Ann Arbor, MI, 1975.
   Google Scholar