Numerical simulation of the heterogeneous combustion of dust clouds containing polydisperse porous iron particles

Bozorg, Mehdi Vahabzadeh, Guan, Yu, Doranehgard, Mohammad Hossein, Hong, Kun, Xiong, Qingang, Karimi, Nader and Li, Larry K.B. (2020) Numerical simulation of the heterogeneous combustion of dust clouds containing polydisperse porous iron particles. Energy. (doi:10.1016/j.energy.2020.118759).

Abstract

In this study, heterogeneous combustion of dust clouds containing polydisperse porous iron particles wasnumerically investigated. The main aim was to develop a discrete three-dimensional model to quantifythe effects of particle size, porosity, cloud concentration, and polydispersity on flame propagation speed.The developed numerical model was validated against experimental data to show its promising accuracy.The modeling results show that increasing the cloud concentration increases flame propagation speedsignificantly, regardless of the particle size distribution, by about 3 times. Increasing the particle porositycan increase flame propagation remarkably, i.e., for particle sizes in the range of 1e3, 1e10, and 1e30mm, flame propagation speed was elevated by up to 24.2%, 36.7%, and 22.6%, respectively, when particleporosity increases from 0 to 0.1. However, increasing the particle size itself was found to decrease flamepropagation speed as larger particles tend to be more difficult to ignite. For example, when the particlesize distribution changes from 1e3 to 1e30 mm, flame propagation speed decreases by a factor of 3.6.These findings serve to improve our understanding of heterogeneous combustion of dust clouds containing polydisperse porous iron particles.

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Contributors

Author: Nader Karimi

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