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Volume 83
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Volume 82
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Volume 81
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Volume 80
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Volume 79
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Volume 78
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Volume 77
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Volume 76
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Volume 83
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Volumes 60-71 (2022)
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Volume 71
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Volume 70
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Volume 69
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Volume 64
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Volume 63
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Volume 62
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Volume 61
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Volume 60
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Volume 71
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• Standard deviation of pressure fluctuation was investigated as a function of gas velocity.
• The results revealed different dynamic behavior for particles of different sphericities.
• Power spectral density was estimated with autoregressive model.
• A potential method for determining Uk was proposed based on power spectral analysis.
In this paper, the pressure fluctuation in a fluidized bed was measured and processed via standard deviation and power spectrum analysis to investigate the dynamic behavior of the transition from the bubbling to turbulent regime. Two types (Geldart B and D) of non-spherical particles, screened from real bed materials, and their mixture were used as the bed materials. The experiments were conducted in a semi-industrial testing apparatus. The experimental results indicated that the fluidization characteristics of the non-spherical Geldart D particles differed from that of the spherical particles at gas velocities beyond the transition velocity Uc. The standard deviation of the pressure fluctuation measured in the bed increased with the gas velocity, while that measured in the plenum remained constant. Compared to the coarse particles, the fine particles exerted a stronger influence on the dynamic behavior of the fluidized bed and promoted the fluidization regime transition from bubbling toward turbulent. The power spectrum of the pressure fluctuation was calculated using the auto-regressive (AR) model; the hydrodynamics of the fluidized bed were characterized by the major frequency of the power spectrum of the pressure fluctuation. By combining the standard deviation analysis, a new method was proposed to determine the transition velocity Uk via the analysis of the change in the major frequency. The first major frequency was observed to vary within the range of 1.5 to 3 Hz.