Statistical method for the determination of the ignition energy of dust cloud-experimental validation

Autor: Philippe Gillard, Guillaume Baudry, Kazimierz Lebecki, Stephane Bernard, Loïc Youinou
Přispěvatelé: F2ME, Laboratoire Pluridisciplinaire de Recherche en Ingénierie des Systèmes, Mécanique et Energétique (PRISME), Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges)-Université d'Orléans (UO)-Ecole Nationale Supérieure d'Ingénieurs de Bourges (ENSI Bourges), Central Mining Institute (CMI), Główny Instytut Górnictwa, Laboratoire Énergétique Explosions Structures [1998-2007] (LEES), Université d'Orléans (UO)-Université d'Orléans (UO)
Jazyk: angličtina
Rok vydání: 2010
Předmět:
Engineering
previous Aluminium
General Chemical Engineering
0211 other engineering and technologies
Energy Engineering and Power Technology
chemistry.chemical_element
Langlie method
02 engineering and technology
Management Science and Operations Research
7. Clean energy
Lycopodium
Industrial and Manufacturing Engineering
Standard deviation
Dust explosion
law.invention
Safeguard
020401 chemical engineering
Aluminium
law
Sensitivity (control systems)
0204 chemical engineering
Safety
Risk
Reliability and Quality
Simulation
021110 strategic
defence & security studies
business.industry
[SPI.FLUID]Engineering Sciences [physics]/Reactive fluid environment
previous MIE
Mechanics
Ignition system
chemistry
Volume (thermodynamics)
13. Climate action
Control and Systems Engineering
Hartmann tube
Log-normal distribution
business
Food Science
Zdroj: Journal of Loss Prevention in the Process Industries
Journal of Loss Prevention in the Process Industries, Elsevier, 2010, Volume 23 (issu 3), pp.404-411. ⟨10.1016/j.jlp.2010.01.006⟩
ISSN: 0950-4230
DOI: 10.1016/j.jlp.2010.01.006⟩
Popis: International audience; Powdery materials such as metallic or polymer powders play a considerable role in many industrial processes. Their use requires the introduction of preventive safeguard to control the plants safety. The mitigation of an explosion hazard, according to the ATEX 137 Directive (1999/92/EU), requires, among other things, the assessment of the dust ignition sensitivity. PRISME laboratory (University of Orléans) has developed an experimental set-up and methodology, using the Langlie test, for the quick determination of the explosion sensitivity of dusts. This method requires only 20 shots and ignition sensitivity is evaluated through the E50 (energy with an ignition probability of 0.5). A Hartmann tube, with a volume of 1.3 l, was designed and built. Many results on the energy ignition thresholds of partially oxidised previous termaluminiumnext term were obtained using this experimental device (Baudry, 2007) and compared to literature. E50 evolution is the same as previous MIE but their respective values are different and previous MIE is lower than E50 however the link between E50 and previous MIE has not been elucidated. In this paper, the Langlie method is explained in detail for the determination of the parameters (mean value E50 and standard deviation σ) of the associated statistic law. The ignition probability versus applied energy is firstly measured for Lycopodium in order to validate the method. A comparison between the normal and the lognormal law was achieved and the best fit was obtained with the lognormal law. In a second part, the Langlie test was performed on different dusts such as previous aluminium, cornstarch, lycopodium, coal, and PA12 in order to determine E50 and σ for each dust. The energies E05 and E10 corresponding respectively to an ignition probability of 0.05 and 0.1 are determined with the lognormal law and compared to previous MIE find in literature. E05 and E10 values of ignition energy were found to be very close and were in good agreement with previous MIE in the literature.
Databáze: OpenAIRE
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