2008
DOI: 10.1016/j.powtec.2007.07.014
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Detection of the minimum gas velocity region using Gaussian spectral pressure distribution in a gas–solid fluidized bed

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Cited by 21 publications
(16 citation statements)
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“…Parise [34] and Parise et al [33] developed a methodology based on the measurement of pressure fluctuation signals and spectral analysis of signals with Fourier transform aiming at identifying the defluidization region of the bed of microcrystalline cellulose and sand. Through the non-linear adjustment of pressure spectra to an exponential function similar to the regular Gaussian distribution function, the defluidization could be analyzed through significant changes to the Gaussian mean frequency profiles obtained.…”
Section: Nomenclaturementioning
confidence: 99%
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“…Parise [34] and Parise et al [33] developed a methodology based on the measurement of pressure fluctuation signals and spectral analysis of signals with Fourier transform aiming at identifying the defluidization region of the bed of microcrystalline cellulose and sand. Through the non-linear adjustment of pressure spectra to an exponential function similar to the regular Gaussian distribution function, the defluidization could be analyzed through significant changes to the Gaussian mean frequency profiles obtained.…”
Section: Nomenclaturementioning
confidence: 99%
“…Polastri et al [40] applied the Gaussian spectral analysis methodology of fluctuation signals, developed by Parise [34] and Parise et al [33], to monitor the stability of fluidization in the coating process of the pellets. In this study, the composition of the sodium diclofenac pellets was formed by several substances such as, sodium diclofenac, microcrystalline cellulose, mannitol, polyethylene glycol, Methocel, croscarmellose sodium and silicon dioxide.…”
Section: Nomenclaturementioning
confidence: 99%
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“…A metodologia de analise espectral Gaussiana dos sinais de flutuação de pressão (Parise et al, 2008) foi utilizada para identificar as instabilidades no comportamento da fluidização e para compor o sistema de controle inteligente Fuzzy-PI desenvolvido para manter condições estáveis de fluidização.…”
Section: Introductionunclassified
“…Pressure fluctuations have been used to determine several fluidization parameters or phenomena, such as the transition from bubbling to turbulent fluidization (Lee and Kim, 1988), the bubble frequency (Nelson et al, 1993), the minimum fluidization gas velocity (Puncochar et al, 1985;Wilkinson, 1995;Felipe and Rocha, 2007), differentiation of states of typical fluidization (Felipe and Rocha, 2004) and the condition where the bed is tending to defluidization (Parise, 2007;Parise et al, 2008;Parise et al, 2009). …”
Section: Introductionmentioning
confidence: 99%