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Terminal velocity of the droplets.

Terminal velocity of the droplets.

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Water-mists are emerging as an effective agent for the suppression of fires. However, the mechanisms of suppression are complex and the behaviour of individual water droplets in a smoke layer generated by fires must be quantified. This study investigates the behaviour of individual droplets injected from a nozzle into a hot air environment induced...

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... A defining feature of water-mist nozzles is that they produce fine mists consisting of tiny droplets with diameters of less than 1000 µm. The fine mists exhibit fog-like behaviour that renders their fire suppression mechanism quite different from conventional water sprays that comprise larger droplets [11]. Studies of the interaction of traditional sprinkler spray with hot air or smoke layers [12][13][14][15][16][17][18][19] have focused mainly on the convective heat transfer phenomena between the large water droplets and the layer of hot air. ...
... In addition, the suspension time in the air and the evaporation rate of the droplets are explored. A previously developed water droplet evaporation model (WDEM) by the same authors [11] is used to facilitate this investigation. ...
... The tiny droplets of water that comprise fine mists have a higher surface area/volume ratio. This results in their rapid evaporation, and their movement is highly responsive to their local environment [11]. As a result, water droplets emanating from a nozzle, the diameter and velocity change continuously due to evaporation, and this affects the drag coefficient. ...
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This paper presents work on investigating the effect of the initial size of water mist droplets on the evaporation and removal of heat from the fire-induced hot gas layer while travelling through the air in a compartment. The histories of the temperature, diameter and position of droplets with different initial diameters (varied from 100 µm to 1000 µm) are determined considering surrounding air temperatures of 75 °C and 150 °C and a room height of 3.0 m. A water droplet evaporation model (WDEM) developed in a previous study (Fire and Materials 2016; 40:190–205) is employed to navigate this work. The study reveals that tiny droplets (for example, 100 µm) have disappeared within a very short time due to evaporation and travelled a very small distance from the spray nozzle because of their tiny size. In contrast, droplets with a larger diameter (for example, 1000 µm) reached the floor with much less evaporation. In the case of this study, the relative tiny droplets (≤200 µm) have absorbed the highest amount of energy from their surroundings due to their complete evaporation, whereas the larger droplets have extracted less energy due to their smaller area/volume ratios, and their traverse times are shorter. One of the key findings of this study is that the smaller droplets of spray effectively cool the environment due to their rapid evaporation and extraction of heat from the surroundings, and the larger droplets are effective in traversing the hot air or smoke layer and reaching the floor of the compartment in a fire environment. The findings of this study might help in understanding the behaviour of water-mist droplets with different initial diameters in designing a water-mist nozzle.
... Water-mist fire suppression systems (WMFSS) represent a promising technology for various applications within the field of fire protection due to their low demand for water and their highly effective fire suppression capability [1]. The water-mist spray comprises fine mists with a higher surface area/volume ratio, resulting in rapid evaporation [2]. However, the efficacy of water-mist sprays in suppressing fires is strongly influenced by the characteristics of the sprays [3,4]. ...
... A second experiment was conducted with a different flow pressure (P 2 ), and the corresponding data of the distribution of flux density of water spray was collected. Using Equation (2), the median diameter of droplets (dm 2 ) of the spray was calculated for P 2 . The flow rate of water and the angle of the spray was also measured in the experiment. ...
... As mentioned in the methodology, a second experiment was carried out using a pressure, P 2 , of 75.8 bar, and the spray's corresponding flux density distribution data was measured. Afterwards, the expected dm 2 of the spray was calculated for P 2 by using Equation (2). The calculated median diameter of droplets for the spray in the second experiment was 275 µm. ...
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... A Lagrangian particle model, one of the sub-models of FDS, is used to simulate the transport of particles in the flow field. The model is extensively verified and validated for liquid particles like droplets and mist (Mahmud et al., 2016). However, verification and validation for the transport of solid particles are very limited. ...
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... A Lagrangian particle model, one of the sub-models of FDS, is used to simulate the transport of particles in the flow field. The model is extensively verified and validated for liquid particles like droplets and mist [30,31]. However, the verification and validation for solid particles are very limited. ...
... The rate, q r , at which heat is transferred to the droplet by radiation is estimated using the following equation (see for example [8,9]): ...
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... Mell et al. [19,20] have discussed the applicability of a version of FDS to study grassfire propagation and tree fires. A Lagrangian particle model, one of the sub-models of FDS, has been extensively used, verified and validated for the transport of liquid particles used in sprinkler and nozzle building-fire suppression systems [21][22][23]. However, use of the Lagrangian model for the transport of Reynolds number of fluid based on the fluid velocity and pipe radius Re D Particle Reynolds number based on the velocity of the particle relative to the fluid and particle size σ Standard deviation of particles density u' ...
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Firebrands are a harbinger of damage to infrastructure; their effects cause a particularly important threat to people living within the wildland-urban-interface. Short-range firebrands travel with the wind with little or no lofting, and cause spotfires. In this work, the design of a novel firebrand generator prototype is discussed to achieve a uniform shower of firebrands. The transport of short-range firebrand is studied to verify the existing Lagrangian particle model of Fire Dynamics Simulator. Uniform, non-combusting cubiform and cylindrical firebrands are projected using the firebrand generator. The experimentally observed distribution of particles on the ground is compared with a simulated distribution using the fire dynamic simulator. The results show that the existing Lagrangian model gives a good agreement with the experimental data.
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The paper presents a simplified engineering model for the prediction of the rate of heat absorption by heat-up and evaporation of water droplets interacting with fire-induced smoke. The algorithm can be easily implemented in the framework of one-zone or two-zone fire models. The general methodology is based on a decoupled time scale analysis for the heating, evaporation and motion of a single droplet. Such analysis allows to determine the heat absorbed by a droplet during its residence time in the smoke layer. Under the assumption of a monodisperse spray, the injected number of droplets per second is calculated and used to estimate the rate of heat absorption (i.e., cooling) by a full spray. The assessment of the model, for single droplet as well as full spray calculations, has been carried out against results obtained with the Fire Dynamics Simulator (FDS 6.7.0). The results show that the model predicts the rate of heat absorption within 15% for droplet diameters between 0.4 mm and 0.8 mm and a surrounding gas temperature below 150°C. Larger deviations are observed under other conditions. The application of the model to a well-confined and mechanically-ventilated compartment fire (a scenario of relevance to nuclear installations and passive houses) allowed to provide a good estimate of the cooling rate of the water spray system and the subsequent average gas temperature and pressure profile within the room.
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