Application of the genetic algorithm to estimate the parameters related to the kinetics of the reduction of the iron ore, coal mixture

Journal Article · Thu Dec 01 00:00:00 EST 2005 · Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science

DOI:https://doi.org/10.1007/s11663-005-0094-0· OSTI ID:20700968

Kumar, A; Roy, G G ^[1]

---

1. Indian Institute of Technology, Kharagpur (India)

A novel methodology has been developed to calculate the kinetic parameters associated with reduction of ore-coal composite mixtures and to describe the time course of reduction of hematite to iron. The empirical parameters, namely, the three sets of activation energies and frequency factors, have been estimated by employing an evolutionary optimization tool, the genetic algorithm (GA). The model prediction matches well with the experimental literature data. The estimated activation energies are higher than the corresponding intrinsic values, indicating the role of heat transfer in the process.

• OSTI ID: 20700968
• Journal Information: Metallurgical and Materials Transactions B: Process Metallurgy and Materials Processing Science, Vol. 36, Issue 6; ISSN 1073-5615
• Country of Publication: United States
• Language: English

Related Subjects

01 COAL, LIGNITE, AND PEAT
ALGORITHMS
REDUCTION
IRON ORES
COAL
MIXTURES
IRON
ACTIVATION ENERGY
CHEMICAL REACTION KINETICS
HEAT TRANSFER