Gases, vapors, and dusts are all potential explosion threats; however, mists should also be taken into account. Indeed, dozens of accidents involving hydrocarbon mists were identified in incident surveys. Mist explosions continue to occur, highlighting the need to evaluate and assess the validity of present approaches for assessing mist ATEX risks and to establish reliable standardized safety parameters for fuel mists.

In a modified apparatus based on the 20 L explosion sphere, three fluids of industrial interest were investigated. A new siphon injection system comprising a Venturi junction was installed, offering a wide range of dispersion performances. This system was controlled by a specifically developed program, ensuring the apparatus's versatility and adaptability to various tested liquids. It enables precise control of the gas carrier flow, liquid flow, and injection and ignition durations, allowing modification of the dilution rate of a particular droplet size distribution (DSD). The mist cloud dispersed in the 20 L sphere was characterized by determining its DSD using an in-situ laser diffraction sensor and by performing Particle Image Velocimetry (PIV). Mists of kerosene, diesel and ethanol were then subjected to tests to assess their lower explosive limit (LEL_mist), minimum ignition energy (MIE), maximum explosion pressure (P_max), and rate of pressure rise (dP/dt_max). For instance, it was found that the LEL_mist of ethanol, kerosene Jet A1, and diesel fuel for a DSD averaged at 8–10 μm reach 77, 94, and 93 g/m³ respectively. This LELmist was also shown to increase with increasing DSD in the case of Jet A1 mists. A sensitivity study was also performed to emphasize the impact of parameters such as the fuel type, the DSD, and the mist temperature. Findings showed that the explosion severity is strongly influenced by the chemical nature and the volatility of the dispersed fuel. Moreover, controlling the sphere temperature was proven to be a crucial step when using such apparatus for the evaluation of the explosibility of mists. An evaporation model based on the d² law was also developed to visualize the vapor-liquid ratio before ignition. These findings have already led to the development of a new procedure for determining safety standards for hydrocarbon mists, as well as tools to assess mist explosion risks. They have proven that it is possible to evaluate the ignition sensitivity and explosion severity of fuel mists using a single well-known apparatus.

气体、蒸汽和粉尘都是潜在的爆炸威胁；然而，也应考虑到雾气。事实上，在事故调查中发现了数十起涉及碳氢化合物雾的事故。油雾爆炸继续发生，突出表明需要评估和评估目前评估油雾 ATEX 风险的方法的有效性，并为燃油雾建立可靠的标准化安全参数。

在基于 20 L 爆炸球的改进装置中，研究了三种具有工业意义的流体。安装了包含文丘里接头的新虹吸喷射系统，可提供广泛的分散性能。该系统由专门开发的程序控制，确保设备的多功能性和对各种测试液体的适应性。它能够精确控制载气流量、液体流量以及注入和点火持续时间，从而可以修改特定液滴尺寸分布 (DSD) 的稀释率​​。通过使用原位激光衍射传感器和执行粒子图像测速法 (PIV) 确定其 DSD，可以表征分散在 20 L 球体中的雾云。煤油雾，_雾)、最小点火能量 (MIE)、最大爆炸压力 (P _max ) 和压力上升率 (dP/dt _max )。例如，发现DSD 的乙醇、煤油 Jet A1 和柴油的 LEL_雾平均为 8–10 μm，分别达到 77、94 和 93 g/m ³分别。在 Jet A1 雾的情况下，该 LELmist 也显示出随着 DSD 的增加而增加。还进行了敏感性研究，以强调燃料类型、DSD 和雾温等参数的影响。结果表明，爆炸的严重程度受分散燃料的化学性质和挥发性的强烈影响。此外，当使用这种设备评估雾的爆炸性时，控制球体温度被证明是一个关键步骤。基于 d ²的蒸发模型还开发了定律来可视化点火前的汽液比。这些发现已经导致开发出一种新的程序来确定碳氢化合物雾的安全标准，以及评估雾爆炸风险的工具。他们已经证明，可以使用一个众所周知的设备来评估燃料雾的着火敏感性和爆炸严重程度。