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Evaluation of the Air Leakage Flowrate in Sintering Processes

Jin Cai1, Xiangwei Kong1,*, Mingzhu Yu1,2

1 School of Mechanical Engineering and Automation, Northeastern University, Shenyang, 110819, China
2 Anshan Iron & Steel Corp., Anshan, 114051, China

* Corresponding Authors: Xiangwei Kong. Email: email, email

Fluid Dynamics & Materials Processing 2023, 19(11), 2791-2812. https://doi.org/10.32604/fdmp.2023.029692

Abstract

Iron ore sintering is a pre-treatment technology by which ore fines are converted into porous and permeable sinters, which are the used in blast furnaces. This process can be adversely affected by air leakage phenomena of various types. As experimental measurements are relatively difficult and often scarcely reliable, here a theoretical model based on typical fluid-dynamic concepts and relationships is elaborated. Through the analysis of two extreme cases, namely, those in which leakage is due to a small hole or a full rupture, a generalized hole-bed model is introduced, which for the first time also includes a complete bed permeability equation and can deal with different leakage position conditions. The results show that the model can evaluate the influence of leakage on the system at one time and be used to calculate the flowrate and pressure drop. Notably, the obtained results are within a 15% deviation with respect to available experiment values, used for comparison.

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Evaluation of the Air Leakage Flowrate in Sintering Processes

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Cite This Article

APA Style
Cai, J., Kong, X., Yu, M. (2023). Evaluation of the air leakage flowrate in sintering processes. Fluid Dynamics & Materials Processing, 19(11), 2791-2812. https://doi.org/10.32604/fdmp.2023.029692
Vancouver Style
Cai J, Kong X, Yu M. Evaluation of the air leakage flowrate in sintering processes. Fluid Dyn Mater Proc. 2023;19(11):2791-2812 https://doi.org/10.32604/fdmp.2023.029692
IEEE Style
J. Cai, X. Kong, and M. Yu "Evaluation of the Air Leakage Flowrate in Sintering Processes," Fluid Dyn. Mater. Proc., vol. 19, no. 11, pp. 2791-2812. 2023. https://doi.org/10.32604/fdmp.2023.029692



cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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