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A numerical study on discrete combustion of polydisperse magnesium aero-suspensions

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  • Bozorg, Mehdi Vahabzadeh
  • Doranehgard, Mohammad Hossein
  • Hong, Kun
  • Xiong, Qingang
  • Li, Larry K.B.

Abstract

In this numerical study, discrete combustion of polydisperse magnesium dust clouds was investigated. A numerical model accounting for the effects of ignition, thermal conduction, and radiation was formulated to simulate the spatiotemporal distribution of temperature. Three distribution models, i.e., Dagum, log-normal, and Beta prime, were used to describe the magnesium particle-size polydispersity. The numerical model was first validated by comparison against experimental data on discrete combustion of both mono-sized and polydisperse magnesium aero-suspensions. Subsequently, the flame propagation characteristics of mono-sized and log-normally polydisperse cases at two different mean magnesium particle sizes were compared. The comparison shows that polydisperse magnesium dust clouds have higher flame propagation speeds than their mono-sized counterparts. Finally, the differences among the polydisperse cases with different size distributions were compared, revealing that magnesium powders with a higher percentage of small particles give rise to higher flame propagation speeds. Furthermore, results show that in comparison with the Dagum and Beta prime distributions, the log-normal distribution results in a lower flame propagation speed and a higher minimum ignition energy. As either the particle size decreases or the dust-cloud concentration increases, the flame propagation speed increases and the minimum ignition energy decreases.

Suggested Citation

  • Bozorg, Mehdi Vahabzadeh & Doranehgard, Mohammad Hossein & Hong, Kun & Xiong, Qingang & Li, Larry K.B., 2020. "A numerical study on discrete combustion of polydisperse magnesium aero-suspensions," Energy, Elsevier, vol. 194(C).
    • Handle: RePEc:eee:energy:v:194:y:2020:i:c:s0360544219325678
    DOI: 10.1016/j.energy.2019.116872
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    References listed on IDEAS

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    1. Camilo Dagum, 2008. "A New Model of Personal Income Distribution: Specification and Estimation," Economic Studies in Inequality, Social Exclusion, and Well-Being, in: Duangkamon Chotikapanich (ed.), Modeling Income Distributions and Lorenz Curves, chapter 1, pages 3-25, Springer.
    2. Bergthorson, Jeffrey M. & Yavor, Yinon & Palecka, Jan & Georges, William & Soo, Michael & Vickery, James & Goroshin, Samuel & Frost, David L. & Higgins, Andrew J., 2017. "Metal-water combustion for clean propulsion and power generation," Applied Energy, Elsevier, vol. 186(P1), pages 13-27.
    3. Bergthorson, J.M. & Goroshin, S. & Soo, M.J. & Julien, P. & Palecka, J. & Frost, D.L. & Jarvis, D.J., 2015. "Direct combustion of recyclable metal fuels for zero-carbon heat and power," Applied Energy, Elsevier, vol. 160(C), pages 368-382.
    4. Bidabadi, Mehdi & Bozorg, Mehdi Vahabzadeh & Bordbar, Vahid, 2017. "A three-dimensional simulation of discrete combustion of randomly dispersed micron-aluminum particle dust cloud and applying genetic algorithm to obtain the flame front," Energy, Elsevier, vol. 140(P1), pages 804-817.
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    1. Bozorg, Mehdi Vahabzadeh & Guan, Yu & Doranehgard, Mohammad Hossein & Hong, Kun & Xiong, Qingang & Karimi, Nader & Li, Larry K.B., 2020. "Numerical simulation of the heterogeneous combustion of dust clouds containing polydisperse porous iron particles," Energy, Elsevier, vol. 212(C).

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