2002
DOI: 10.2355/isijinternational.42.115
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On-line Estimation of the Ore-to-coke Ratio in the Blast Furnace Center.

Abstract: The burden distribution in the blast furnace is of central importance for achieving an energy-efficient operation of the process. In spite of the fact that a number of measuring devices have been developed for detecting the burden surface profile, [1][2][3][4][5] it is still difficult to obtain reasonable estimates of the realized burden distribution in operating blast furnaces. Especially in furnaces with bell-type charging equipment, the push effect exerted by heavier materials, such as sinter or pellets, ma… Show more

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Cited by 8 publications
(8 citation statements)
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“…model to estimate the distribution of the ore to coke ratio along the radius of a blast furnace. [3][4][5] The model development approach and its use for performance improvement of the furnace is described below…”
Section: Fig 5 -Image Of Burden Captured Using Profilometermentioning
confidence: 99%
“…model to estimate the distribution of the ore to coke ratio along the radius of a blast furnace. [3][4][5] The model development approach and its use for performance improvement of the furnace is described below…”
Section: Fig 5 -Image Of Burden Captured Using Profilometermentioning
confidence: 99%
“…It should be kept in mind that the present model neglects heat transfer from the gas to the burden, which also affects the gas temperature in the throat. [12,[20][21][22] The results indicate that the changes are relatively fast, but still considerably slower than what the average residence time would indicate. The volume between the bed surface and the end of the gas uptakes in the simulated domain is approximately 80 m 3 , which gives an average residence time of about 3 seconds.…”
Section: Dynamic Analysismentioning
confidence: 99%
“…However, in small furnaces where it is not economically feasible to use sophisticated devices for observing the burden surface, the burden distribution control is still difficult. Alternative indirect methods for estimating the distribution on the basis of secondary measurements have therefore been developed [3][4][5][6][7][8]. Many of these are based on more easily measured variables, such as gas temperatures at different radial points.…”
Section: Modellingmentioning
confidence: 99%