• Optical Instruments
  • Vol. 44, Issue 6, 1 (2022)
Haitao WANG1, Quan CHEN1, Ran LI2, Wenzheng XIU1, and Hui YANG1,*
Author Affiliations
  • 1School of Optical-Electrical and Computer Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
  • 2School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai 200093, China
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    DOI: 10.3969/j.issn.1005-5630.2022.006.001 Cite this Article
    Haitao WANG, Quan CHEN, Ran LI, Wenzheng XIU, Hui YANG. Jamming probability measurement of granular flow in silo based on random walk model[J]. Optical Instruments, 2022, 44(6): 1 Copy Citation Text show less
    Schematic diagram of the experimental system used for calculating the jamming probability of granular flow in a silo
    Fig. 1. Schematic diagram of the experimental system used for calculating the jamming probability of granular flow in a silo
    Schematic diagram of feature extraction of jamming arch
    Fig. 2. Schematic diagram of feature extraction of jamming arch
    Scatter diagram of jamming probability J and number of experiments N
    Fig. 3. Scatter diagram of jamming probability J and number of experiments N
    Characteristic diagram of the jamming arch
    Fig. 4. Characteristic diagram of the jamming arch
    Scatter plot of mass discharge rate and jamming probability
    Fig. 5. Scatter plot of mass discharge rate and jamming probability
    材料直径/mm球形度密度/(kg/m³)体积密度/(kg/m³)摩擦系数
    玻璃1.85±0.150.98±0.0125001500±6.400.58
    Table 1. Properties of the granular materials used in this study
    参数n ∈ [4,11] n ∈ [12,16] n ∈ [4,16]
    理论堵塞概率J17.7%20.1%27.8%
    实验堵塞概率J28%
    Table 2. Jamming probability of granular flow in silo
    Haitao WANG, Quan CHEN, Ran LI, Wenzheng XIU, Hui YANG. Jamming probability measurement of granular flow in silo based on random walk model[J]. Optical Instruments, 2022, 44(6): 1
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