Propagation of Laminar Pulverized Coal–air Flames

Smoot, L.D.; Horton, M. D.

doi:10.1016/b978-0-08-024780-9.50015-0

Cited by 10 publications

(20 citation statements)

References 29 publications

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“…Taniguchi et al [4] tested the laminar flame speed S L of pulverized coal combustion in a drop tube furnace (DTF) and found that S L increases to a maximum value and then slowly decreases with an increase in coal concentration; this result is similar to the measurement results in a Bunsen burner and a flat flame burner [8,9] when the coal concentration is changed, but the pulverized coal flame in industry furnaces is highly turbulent, and the practical turbulent flame speed S t is 100 times that of S L . Therefore, can the maximum flame speed or the best burning condition be obtained in a high-velocity, fuel-rich stream of a practical furnace, as shown in Fig.…”

Section: Introductionsupporting

confidence: 70%

Determining the optimum coal concentration in a general tangential-fired furnace with rich-lean burners: From a bench-scale to a pilot-scale study

Wang

Tan

Yan

et al. 2014

Applied Thermal Engineering

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Section: Introductionsupporting

confidence: 70%

Determining the optimum coal concentration in a general tangential-fired furnace with rich-lean burners: From a bench-scale to a pilot-scale study

Wang

Tan

Yan

et al. 2014

Applied Thermal Engineering

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“…3(a) for a particle diameter of 10 μm and Fig. 3 velocities are those given by Smoot et al [8], and the predicted ones of Smoot et al [9] are also given in Fig. 3(a) and (b).…”

Section: Measured Burning Velocities Compared With Predictions Frmentioning

confidence: 87%

“…For a typical atmospheric coal-air flame, concentration 0.3 kg/m 3 , 30 μm Pittsburgh coal, Smoot et al [9] have reported some values predicted by their model. These are summarised in Table 4, and compared with those of present model.…”

Section: Comparison Between Smoot Model and The Present Modelmentioning

confidence: 99%

“…Smoot et al [9] developed the mathematical model of laminar premixed pulverized coal air flames and predicted the burning velocities. The predicted ones are given by label "Model" for 10 μm and 8-2 for 33 μm in Fig.…”

Section: Comparison Between Smoot Model and The Present Modelmentioning

confidence: 99%

“…The modelling studies were based principally upon particulate radiation, with the effects of conduction, devolatilization, gasphase reaction, and diffusion added in steps [5][14] [15]. Smoot et al [9] performed modeling studies of the propagation of laminar premixed pulverized coal-air flames, which were stabilized below a smoothing screen [9]. Bradley et al [13][16]- [18] have developed the mathematical model for a flat, laminar, premixed coal-air flame and checked by experimental works over a couple of decade.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Laminar Burning Velocities of Atmospheric Coal Air Mixtures

Park¹,

Park²

2016

KEPCO Journal on Electric Power and Energy

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The mechanism for laminar dust flame propagation can only be elucidated from a comprehensive mathematical model which incorporates conduction and radiation, as well as the chemical kinetics of particle devolatilization and gas phase and char reaction. The mathematical model for a flat, laminar, premixed coal-air flame is applied to the atmospheric coal-air mixtures studied by Smoot and co-workers, and comparisons are made with their measurements and predictions. Here the principal parameter for comparison is the laminar burning velocity. The studies of Smoot and co-workers are first reviewed and compared with those predicted by the present model. The effects of inlet temperature and devolatilization rate constants on the burning velocities are studied with the present model, and compared with their measurements and predictions. Their measured burning velocities are approximately predicted with the present model at relatively high coal concentrations, with a somewhat increased inlet temperature. From the comparisons, their model might over-estimate particle temperature and rates of devolatilization. This would enable coal-air mixtures to be burned without any form of preheat and would tend to increase their computed values of burning velocity.

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Analytical Simulation of the Cloud Combustion of Corn Starch Microparticles

et al. 2019

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Knowledge of the fundamentals of dust combustion is necessary for designing safety technologies such as flame arrestors. The structure of flame propagation in a uniformly distributed cloud of volatile fuel particles was simulated. A model based on energy and mass conservation laws was generated. The obtained system of equations was nondimensionalized and solved according to the introduced boundary conditions. Comparison of the results with the existing experimental data in the literature showed remarkable agreement. Finally, the effect of parameters such as particle size and Lewis number on the characteristics of the cloud combustion of biomass microparticles under both lean and rich conditions was studied.

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Propagation of Laminar Pulverized Coal–air Flames

Cited by 10 publications

References 29 publications

Determining the optimum coal concentration in a general tangential-fired furnace with rich-lean burners: From a bench-scale to a pilot-scale study

Determining the optimum coal concentration in a general tangential-fired furnace with rich-lean burners: From a bench-scale to a pilot-scale study

Laminar Burning Velocities of Atmospheric Coal Air Mixtures

Analytical Simulation of the Cloud Combustion of Corn Starch Microparticles

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