A numerical model for the prediction of the minimum ignition temperature of dust clouds |
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| Institution: | 1. KU Leuven, Department of Mechanical Engineering, Group T Leuven Campus, A. Vesaliusstraat 13, B-3000, Leuven, Belgium;2. KU Leuven, Department of Materials Engineering, Group T Leuven Campus, A. Vesaliusstraat 13, B-3000, Leuven, Belgium;3. KU Leuven, Department of Chemical Engineering, Celestijnenlaan 200F, B-3001, Leuven, Belgium;4. KU Leuven, Department of Mechanical Engineering, Celestijnenlaan 300A, B-3001, Leuven, Belgium;5. Adinex NV, Brouwerijstraat 11, B-2200, Herentals, Belgium;6. North-West University, Material Science, Innovation and Modelling (MaSIM), Private Bag X2046, 2745, Mmabatho, South Africa;1. Department of Mechanical and Industrial Engineering, Norwegian University of Science and Technology NTNU, Richard Birkelands vei 2B, 7034 Trondheim, Norway;2. Department of Industrial and Systems Engineering and Chairman, CoE in Safety Engineering and Analytics, Indian Institute of Technology Kharagpur, Kharagpur, 721302 West Bengal, India;3. Department of Mechanical and Industrial Engineering, University of Brescia, via Branze 38, 25123 Brescia, Italy;4. Department of Mechanical and Aerospace Engineering, Sapienza University of Rome, Via Eudossiana, 18, 00184 Rome, Italy;1. School of Safety Science and Engineering, Changzhou University, Changzhou, 213164, Jiangsu, China;2. College of Safety Science and Engineering, Nanjing Tech University, Nanjing, 211816, Jiangsu, China;3. Institute of Industry and Trade Measurement Technology, College of Metrology and Measurement Engineering, China Jiliang University, Hangzhou, China;4. Zhejiang Engineering Laboratory of Chemicals Safety Testing Technology and Instruments, Hangzhou, China |
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| Abstract: | This paper presents a numerical model for the prediction of the minimum ignition temperature (MIT) of dust clouds. First, a physical model is developed for the dust cloud ignition in the Godbert-Greenwald furnace. A numerical approach is then applied for the MIT prediction based on the physical model. The model considers heat transfer between the air and dust particles, the dust particle reaction kinetics, and the residence times of dust clouds in the furnace. In general, for the 13 dusts studied, the calculated MIT data are in agreement with the experimental values. There is also great accordance between the experimental and numerical MIT variation trends against particle size. Two different ignition modes are discovered. The first one consists in ignition near the furnace wall for bigger particles characterized by rather short residence times. In the second mode, the ignition starts from the center of the furnace by self-heating of the dust cloud for smaller particles with longer residence times. For magnesium, as dust concentration increases, the lowest ignition temperature of the dust cloud IT(conc) decreases first, then transits to increase at a certain point. The transition happens at different dust concentrations for different particle sizes. Moreover, the MIT of the magnesium dust cloud generally increases as particle size increases, but the increasing trend stagnates within a certain medium particle size range. |
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| Keywords: | Minimum ignition temperature Dust clouds Numerical model |
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