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Calculation of minimum ignition energy of premixed gases
Journal of Hazardous Materials, 2003The minimum ignition energy of premixed gases has been calculated by using two theoretical expressions and compared with the experimental data. One expression considers the amount of energy that the minimal flame should have, and the other the heat loss from the surface of the minimal flamelet.
Shigeo, Kondo +2 more
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Ignition Probability and Absolute Minimum Ignition Energy in Fuel Sprays
Combustion Science and Technology, 1992Abstract Ignition in a one dimensional spray by a short duration source is modeled numerically. The probabilistic nature of spray ignition is discussed using a deterministic approach. The ignition source is modeled by a hot gas region of a defined thickness simulating a pilot flame or a low temperature spark source.
S. D. WEHE, N. ASHGRIZ
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Requirements for a minimum ignition energy standard
Process Safety Progress, 2003AbstractFires and explosions are serious hazards in the process industries. Mitigation methods, such as suppression and venting, can be expensive. Ideally, the best option would be to avoid fire or explosion, which may be accomplished by either removing the explosible fuel/oxidant mixture, or the ignition source.One of the most overlooked and ...
C. James Dahn, Ashok G. Dastidar
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Minimum ignition energy of LDPE dust/ethylene hybrid mixture
Journal of Loss Prevention in the Process Industries, 2021Abstract An experimental device for evaluating the minimum ignition energy (MIE) of LDPE dust/ethylene hybrid mixture was built with the innovative mixing mode. The MIE of the hybrid mixture that contained ethylene below its lower explosive limit (LEL) was studied.
Lei Pang +5 more
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Minimum ignition energy for laser spark ignition
Proceedings of the Combustion Institute, 2005Abstract Combustion ignition by electrical sparks and nonresonant laser sparks is preceded by breakdown, electron heating, relaxation of internal plasma energy, shock wave generation and propagation, and subsonic flows. Measurements and model calculations of these processes (which occur over times of 10 −12 –10 −1 s) in laser sparks show that the ...
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On the minimum ignition energy (MIE) for propane/air
Journal of Hazardous Materials, 2010A copy of the standard ASTM spark generator for determination of MIEs of gases and vapours was built and measurements to determine MIE of propane/air at normal atmospheric conditions were performed. However, the ASTM standard does not prescribe any statistical procedure for deriving MIE values from primary test data.
R K, Eckhoff, M, Ngo, W, Olsen
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Minimum ignition energies in flowing kerosine-air mixtures
Combustion and Flame, 1976Abstract Measurements of minimum ignition energy were carried out on kerosine sprays injected into a flowing air stream under conditions of atmospheric pressure and temperature. All the measurements were performed using optimum values of spark duration and with the spark gap adjusted to slightly exceed the quenching distance.
K.V.L. Rao, A.H. Lefebvre
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Minimum ignition energy of mixtures of combustible dusts
Journal of Loss Prevention in the Process Industries, 2015Abstract Most industrial powder processes handle mixtures of various flammable powders. Consequently, hazard evaluation leads to a reduction of the disaster damage that arises from dust explosions. Determining the minimum ignition energy (MIE) of flammable mixtures is critical for identifying possibility of accidental hazard in industry.
Sepideh Hosseinzadeh +4 more
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Determining Minimum Ignition Energies and Quenching Distances of Difficult-To-Ignite Compounds
Journal of Testing and Evaluation, 2003Abstract Difficulties experienced using ASTM Method E 582-88 for determination of minimum ignition energies of compounds more difficult to ignite than simple hydrocarbons are described along with remedies for overcoming those difficulties.
N Dean Smith, WA Mitchell, MW Tufts
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Journal of Loss Prevention in the Process Industries, 2021
Abstract Quantitative Structure-Property Relationship (QSPR) regression models for Minimum Ignition Energy (MIE) prediction of 60 flammable compounds have been developed using machine learning algorithms Random Forests (RF), Artificial Neural Networks (ANN) and a non-machine learning algorithm - Genetic Function Approximation (GFA). RF algorithm was
Purvali Chaudhari +4 more
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Abstract Quantitative Structure-Property Relationship (QSPR) regression models for Minimum Ignition Energy (MIE) prediction of 60 flammable compounds have been developed using machine learning algorithms Random Forests (RF), Artificial Neural Networks (ANN) and a non-machine learning algorithm - Genetic Function Approximation (GFA). RF algorithm was
Purvali Chaudhari +4 more
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