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http://dx.doi.org/10.7731/KIFSE.2017.31.5.012

Predicting the Mass Burning Flux of Methanol Pool Fires by Using FDS Model  

Kim, Sung-Chan (Department of Fire Safety, Kyungil University)
Publication Information
Fire Science and Engineering / v.31, no.5, 2017 , pp. 12-18 More about this Journal
Abstract
The present study has been conducted to predict the mass burning flux of methanol pool fire using liquid vaporization model in FDS and examine the effect of thermal properties of liquid fuel such as radiative fraction and mean absorption coefficient. A series of calculation for the pool diameter of 5 cm to 200 cm were performed and the size of computational domain was determined by the scale of the pool diameter. The reference grid size was determined by the grid sensitivity analysis and the computational grids consisted of approximately 750,000 cells. For the methanol pool fire, the mass burning flux predicted by liquid vaporization model of FDS followed the trend of transient characteristics as a function of pool diameter and showed good agreement within measurement uncertainty range of previous studies. The mass burning flux increased with increasing the radiative fraction and the mean absorption coefficient greatly affected on relatively small pool diameter.
Keywords
Pool Fire; Burning Rate; CFD; Fire Model; Mass Burning Flux;
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Times Cited By KSCI : 2  (Citation Analysis)
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