Experimental research on dynamic concentration distribution for combustible dust based on ultrasonic-electric hybrid detection

Zhang, Yan; Lou, Wenzhong; Wang, Hongjun; Guo, Mei; Fu, Shenghua

doi:10.1007/s00231-019-02807-7

Cited by 2 publications

(1 citation statement)

References 22 publications

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“…Figure 12 b–f depict the particles’ grayscale distribution over time and distance under different M / C . Compared with research conducted by Gao et al [ 31 ], where an ultrasonic–electric hybrid detection method was adopted for partial-area particle concentration acquisition, here, the overall grayscale distribution in the cloud area can be obtained to analyze the overall concentration distribution law. The peak near the coordinate origin of distance axis is due to the frictional force between the particles and the end plate, causing a small portion of the particles to remain near the end plate.…”

Section: Resultsmentioning

confidence: 99%

Dispersal Characteristics Dependence on Mass Ratio for Explosively Driven Dry Powder Particle

et al. 2023

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An investigation on the dispersal characteristics of the cylindrically packed material of dry powder particles driven by explosive load is presented. By establishing a controllable experimental system under laboratory conditions and combining with near-field simulation, the particle dispersal process is described. Additionally, Kelvin–Helmholtz instability is observed during the process of jet deceleration dispersal. The characteristic parameters of radially propagated particles are explored under different mass ratio of particle-to-charge (M/C). Results indicate that, when the charge mass remains constant, an increase in M/C leads to a decrease in dispersed jet number, void radius and maximum velocity, wherein the maximum velocity correlates with calculations by the porous Gurney model. The case of the smaller M/C always has a higher outer-boundary radius and area expansion factor. Findings indicate that when particles detach from the jet upon reaching minimum acceleration and entering low-speed far-field stage from high-speed near-field stage, the outer-boundary radius is 30~36 times the initial particles’ body radius under different M/C. In addition, particle concentration distribution over time and distance is qualitatively analyzed by the grayscale image method. This research can be referential for improving the fire-extinguishing capacity of extinguishing bombs and the damage property of fuel air explosive (FAE).

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Section: Resultsmentioning

confidence: 99%

Dispersal Characteristics Dependence on Mass Ratio for Explosively Driven Dry Powder Particle

et al. 2023

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Study on neural network algorithm for detecting respirable dust in photoacoustic cavity

et al. 2021

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The traditional photoacoustic cavity has the advantages of simple structure, low cost, and easy integration with optical cavity technology, so it has significant advantages in the measurement of the optical characteristics of respirable dust. In order to meet the demand of high-precision respirable dust measurements in practical applications, it is necessary to improve the measurement accuracy of respirable dust by traditional photoacoustic spectroscopy technology. Therefore, the structure size of the photoacoustic cavity was determined by theoretical and simulation analysis. A system for measuring respirable dust by photoacoustic spectroscopy was designed, which was applied to the atmospheric respirable dust detection simultaneously with the cavity ring-down spectroscopy system. The results showed that the correlation between the two systems was poor. Therefore, the three-layer back propagation neural network algorithm was used to correct the photoacoustic response values, and the measured value of the cavity ring-down spectroscopy system was used as the reference truth value. The calibration results showed that the output value of the neural network model was in good agreement with the reference true value: the slope was above 0.96. The results showed that the neural network algorithm could effectively improve the measurement accuracy of the photoacoustic spectroscopy system to respirable dust, improve the linearity, and reduce the detection error.

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Experimental research on dynamic concentration distribution for combustible dust based on ultrasonic-electric hybrid detection

Cited by 2 publications

References 22 publications

Dispersal Characteristics Dependence on Mass Ratio for Explosively Driven Dry Powder Particle

Dispersal Characteristics Dependence on Mass Ratio for Explosively Driven Dry Powder Particle

Study on neural network algorithm for detecting respirable dust in photoacoustic cavity

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