Abstract
This work models the design of a preheater (shaft kiln ) to demonstrate preheating of manganese ores with hot air at 800 °C produced by concentrating solar thermal energy on a pilot scale. This paper reports the methodology for the development of a heat and mass transfer model that informs the effective control of the shaft kiln air flow rates . A continuum approach is followed through the discretisation of the fluid and solid phases of a packed bed of randomly packed lumpy mineral ore. The fluid dynamics of the packed bed is solved using correlations for fluid flow through packed beds and the dimensionless constants for flow, heat convection and conduction are quantified for a packed bed of manganese ore. The required pressure drop across the shaft kiln with fluid flow up to 5 m/s is less than 100 kPa. It was also found that a lumped system does not exist in the solid phase. The validity of the model will be studied theoretically and through experimental work. Outstanding work on the methodology includes the solution to the radiative heat transfer, convective mass transfer, and the method to measure the extent to which the wall effect impacts on the radial temperature distribution.
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References
Hockaday SAC, Dinter F, Harms TM (2018) Introducing solar thermal heat into minerals processing: a case study on replacing a diesel burner at a sinter plant. 8
Gordon Y, Nell J, Yaroshenko Y (2018) Manganese ore thermal treatment prior to smelting. KnE Eng 3(5):71–86
Yang J, Wang J, Bu S, Zeng M, Wang Q, Nakayama A (2011) Experimental analysis of forced convective heat transfer in novel structured packed beds of particles. Chem Eng Sci 71:126–137
Rickelt S (2011) Discrete element simulation and experimental validation of conductive and convective heat transfer in moving granular material. Ph.D. thesis. Bochum University. 173
Vargas WL, McCarthy JJ (2001) Heat conduction in granular materials. AIChE J 47(5):1052–1059
Van Antwerpen W, duToit CG, Gn PE, Rousseau D (2009) A review of correlations to model the packing structure and effective thermal conductivity in packed beds of mono-sizes spherical particles. Nucl Eng Des 240:1803–1818
Bale S, Tiwari S, Sathe M, Berrouk AS, Nandakumar K, Joshi J (2018) Direct numerical simulation study of end effects and D/d ratio on mass transfer in packed beds. Int J Heat & Mass Transfer 127:234–244
Wen D, Ding Y (2006) Heat transfer of gas flow through a packed bed. Chem Eng Sci 61(11):3532–3542
Daizo H, Octave L (1992) Fluidisation engineering, 2nd edn. Massachusetts Institute of Technology, USA
Holman JP (2010) Heat transfer, 10th edn. South Methodist University, McGrow-Hill, New York
Geankoplis CJ (1993) Transport process and unit operations, 3rd edn. Englewood Cliffs, PTR Prentice-Hall, New Jersey
Acknowledgements
Sincere gratitude to Mintek and Vaal University of Technology for providing their facilities for this study and the PreMa project for the funding they put in to make this work possible. The PreMa project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement No 820561.
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© 2020 The Minerals, Metals & Materials Society
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Sambo, S.N., Hockaday, C.S.A., Seodigeng, T. (2020). The Development of a Heat and Mass Transfer Model for a Shaft Kiln to Preheat Manganese Ore with Hot Air, Model Development Methodology. In: Peng, Z., et al. 11th International Symposium on High-Temperature Metallurgical Processing. The Minerals, Metals & Materials Series. Springer, Cham. https://doi.org/10.1007/978-3-030-36540-0_5
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DOI: https://doi.org/10.1007/978-3-030-36540-0_5
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