Mathematical modelling of iron ore sintering process using genetic algorithm: effect of moisture evaporation and condensation on the temperature profile

Mathematical modelling of iron ore sintering process using genetic algorithm: effect of moisture evaporation and condensation on the temperature profile

Sekhar Suman, Brijesh K. Giri, Gour G. Roy

Department of Metallurgical & Materials Engineering, Kharagpur, 721 302, India.

DOI:

https://doi.org/10.7494/cmms.2013.1.0423

Abstract:

Sintering is a process where iron ore fines are agglomerated in the form of sinter cake by partial fusion in presence of fuel and flux. During sintering, the sinter bed is ignited from the top and the flame-front/fire-line is drawn through the bed under the action moving air. Estimation of the speed of flame-front progress through the sinter bed is of importance because efficiency of the sinter strand depends on the knowledge when the fire-line reaches just at the bottom of the bed. In the present article, a mathematical model of iron ore sintering process in a fixed sinter bed has been described, where Genetic algorithm has been used in conjunction with the process model for selecting the optimized process parameters. Presence of moisture influence the temperature profile significantly, because evaporation and condensation of moisture have effects both on the heat effects, and more importantly on the gas flow rate through the bed. The present article is a modification over the existing model of the present authors, where the effects of moisture condensation and evaporation have been introduced in the sinter model to account for the moisture effects explicitly. The results from this modified model clearly indicate marked improvement in the model predictions when the effect of moisture evaporation and condensation are taken into consideration.

Cite as:

Suman, S., Giri, B., & Roy, G. (2013). Mathematical modelling of iron ore sintering process using genetic algorithm: effect of moisture evaporation and condensation on the temperature profile. Computer Methods in Materials Science, 13(1), 141 – 146. https://doi.org/10.7494/cmms.2013.1.0423

Article (PDF):

Keywords:

Sintering, Genetic algorithm, Fire-line, Effect of moisture, Optimization

References: