1993
DOI: 10.2355/isijinternational.33.1070
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Development of Burden Distribution Simulation Model for Bell-less Top in a Large Blast Furnace and Its Application.

Abstract: The burden distribution simulation model was indispensable so as to ensure smooth blow-in and stable operation with high productivity of Keihin No. I blast furnace, which is one of the largest blast furnace with bell-less top. For this purpose, basic factors governing the burden distribution in the bell-Iess top for a large blast furnace were examinedthrough the I /1 O scale model experiment on the basis of the burden distribution simulation model formerly developed for FukuyamaNo. 2 blast furnace. By incorpor… Show more

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Cited by 38 publications
(24 citation statements)
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“…[1][2][3][4] The development of reduce and real scale models that allow to see how the burden should behave inside the blast furnace, are an important part of these studies. [5][6][7] These models try to reproduce main features of the blast furnace and show themselves as an useful tool to elucidate the best ways to distribute the burden. After testing a charging method in the model, this may be applied in the real blast furnace knowing its behaviour beforehand.…”
Section: Introductionmentioning
confidence: 99%
“…[1][2][3][4] The development of reduce and real scale models that allow to see how the burden should behave inside the blast furnace, are an important part of these studies. [5][6][7] These models try to reproduce main features of the blast furnace and show themselves as an useful tool to elucidate the best ways to distribute the burden. After testing a charging method in the model, this may be applied in the real blast furnace knowing its behaviour beforehand.…”
Section: Introductionmentioning
confidence: 99%
“…Compared with physical experiments, mathematical modeling [3] has gained popularity due to its lower cost and higher flexibility. The mathematical modeling approaches [4,5] regarding the BF burden distribution (corresponding to the bell-less charging system) can basically be categorized as volume-based simplified models or classical (continuum) force models [6][7][8][9][10][11][12][13][14], data-driven models [15,16], or hybrid models [17,18], as well as the more computationally expensive models based of the discrete element method (DEM) [19][20][21][22][23]. Among these models, the classical force model has advantages in terms of its simple model formulation and fast computation, which are readily suitable for online implementation.…”
Section: Introductionmentioning
confidence: 99%
“…In this experiment, the Froude number, which is the ratio of inertia to gravity, was matched with that of the actual blast furnace, and the charging rate and rotation speed (39.0 rpm) were decided based on the actual charging conditions. 21,22) The furnace body has 12 holes in the lower part for air blowing during charging, and an electric feeder was set under furnace body to simulate burden descent. Air is blown into the lower shaft to simulate the inclination of the burden surface while the materials are being charged.…”
Section: Introductionmentioning
confidence: 99%