Otto-von-Guericke University, Institute of Instrumental and Environmental Technology Department of System Engineering and Plant Safety, Universitätsplatz 2, 39106 Magdeburg, Germany.
Otto-von-Guericke University, Institute of Instrumental and Environmental Technology Department of System Engineering and Plant Safety, Universitätsplatz 2, 39106 Magdeburg, Germany.
J Hazard Mater. 2016 Mar 5;304:73-83. doi: 10.1016/j.jhazmat.2015.10.015. Epub 2015 Oct 20.
The minimum ignition temperatures (MIT) of hybrid mixtures have been investigated by performing several series of tests in a modified Godbert-Greenwald furnace. Five dusts as well as three perfect gases and three real were used in different combinations as test samples. Further, seven mathematical models for prediction of the MIT of dust/air mixtures were presented of which three were chosen for deeper study and comparison with the experimental results based on the availability of the input quantities needed and their applicability. Additionally, two alternative models were proposed to calculate the MIT of hybrid mixtures and were validated against the experimental results. A significant decrease of the minimum ignition temperature of either the gas or the vapor as well as an increase in the explosion likelihood could be observed when a small amount of dust which was either below its minimum explosible concentration or not ignitable itself at that particular temperature was mixed with the gas. The various models developed by Cassel, Krishma and Mitsui to predict the MIT of dust were in good agreement with the experimental results as well as the two models proposed to predict the MIT of hybrid mixtures were also in agreement with the experimental value.
已通过在改进的 Godbert-Greenwald 炉中进行多组试验来研究混合混合物的最低点火温度 (MIT)。 测试样品采用了五种粉尘以及三种理想气体和三种真实气体的不同组合。 进一步，提出了七种用于预测粉尘/空气混合物的 MIT 的数学模型，其中基于所需输入量的可用性及其适用性，选择了三个模型进行更深入的研究和与实验结果进行比较。 此外，还提出了两种替代模型来计算混合混合物的 MIT，并通过与实验结果进行验证。 当少量粉尘（低于最小爆炸浓度或在特定温度下本身不可燃）与气体混合时，无论是气体还是蒸气的最低点火温度都会显着降低，并且爆炸的可能性也会增加。 卡西尔（Cassel），克里希玛（Krishma）和三井（Mitsui）开发的各种预测粉尘 MIT 的模型与实验结果吻合良好，而提出的两种预测混合混合物 MIT 的模型也与实验值吻合良好。
