Abstract
A novel modeling strategy is presented for simulating the blast furnace iron making process. Such physical and chemical phenomena are taking place across a wide range of length and time scales, and three models are developed to simulate different regions of the blast furnace, i.e., the tuyere model, the raceway model and the shaft model. This paper focuses on the integration of the three models to predict the entire blast furnace process. Mapping output and input between models and an iterative scheme are developed to establish communications between models. The effects of tuyere operation and burden distribution on blast furnace fuel efficiency are investigated numerically. The integration of different models provides a way to realistically simulate the blast furnace by improving the modeling resolution on local phenomena and minimizing the model assumptions.
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Acknowledgement
This research was supported by the American Iron and Steel Institute (AISI) and the U.S. Department of Energy (DOE) under Award No. DE-FG36-07GO17041. The authors would like to thank the support from the collaborators at ArcelorMittal-USA, ArcelorMittal-Dofasco, SeverStal, US Steel, US Steel - Stelco Inc., and Union Gas.
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Fu, D., Tang, G., Zhao, Y. et al. Integration of Tuyere, Raceway and Shaft Models for Predicting Blast Furnace Process. JOM 70, 951–957 (2018). https://doi.org/10.1007/s11837-017-2614-1
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DOI: https://doi.org/10.1007/s11837-017-2614-1