2012
DOI: 10.2355/isijinternational.52.1550
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Numerical Modeling of the Iron Ore Sintering Process

Abstract: Iron ore sintering involves the movement of a flame front down a particulate bed, and a series of physico-chemical reactions over a large temperature range. In the literature simple and more sophisticated iron ore sintering models have been reported. In this paper a more comprehensive numerical model which incorporates most of the significant processes and heat transfer modes proposed in earlier models is given. Therefore, sub-models are available to describe the relationship between airflow rate through the b… Show more

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Cited by 62 publications
(61 citation statements)
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“…This tendency is well known and reported in many other reports. 12,13,[23][24][25][26] Some computer simulation results are in good agreement with the data of Fig. 7.…”
Section: Time Variation Of Temperature Distribution In the Sinter Bedsupporting
confidence: 78%
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“…This tendency is well known and reported in many other reports. 12,13,[23][24][25][26] Some computer simulation results are in good agreement with the data of Fig. 7.…”
Section: Time Variation Of Temperature Distribution In the Sinter Bedsupporting
confidence: 78%
“…7. [23][24][25] However, there are no reports that experimentally determine FFS values at each depth of the sinter bed at such a high spatial resolution.…”
Section: Time Variation Of Temperature Distribution In the Sinter Bedmentioning
confidence: 99%
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“…14) Results of the model have been tested against some sinter pot test results 14) but a more rigorous examination of the capability of the model is clearly necessary. The main area of focus is the ability of the model to predict bed temperature profiles with the arrival and departure of the flame front.…”
Section: Introductionmentioning
confidence: 99%
“…A well-validated hot model 1,5,7) has been formulated to describe heat transfer from the flame front to the bed and is used in this study. Data on segregated beds from the literature is used in the simulations.…”
Section: Improving Energy Efficiency In Iron Ore Sintering Through Sementioning
confidence: 99%