Evolution of charging programs for optimal burden distribution in the blast furnace

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Evolution of charging programs for optimal burden distribution in the blast furnace

Tamoghna Mitra, Debanga Nandan Mondal, Frank Pettersson, Henrik Saxén

Thermal and Flow Engineering Laboratory, Åbo Akademi University, Biskopsgatan 8, FI-20500 Åbo, Finland.

DOI:

https://doi.org/10.7494/cmms.2013.1.0417

Abstract:

The burden distribution in the blast furnace affects the efficiency of the upper part of the process and is, therefore, associated with smoothness of operation, coke rate and productivity. A burden distribution model is applied in this work to evolve charging programs fulfilling a goal given by the designer by evolving (mainly) angles for the rotating chute. The charging program is based on a genetic algorithm. It is demonstrated that the method can make efficient progress in the complex search space, finally designing charging programs that produce distributions of ore and coke which closely fit the target patterns. The technique holds promise for application in the ironmaking industry for evolving novel charging programs.

Cite as:

Mitra, T., Mondal, D., Pettersson, F., & Saxén, H. (2013). Evolution of charging programs for optimal burden distribution in the blast furnace. Computer Methods in Materials Science, 13(1), 99 – 106. https://doi.org/10.7494/cmms.2013.1.0417

Article (PDF):

Keywords:

Burden distribution, Genetic algorithm, Blast furnace, Ironmaking

References:

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