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Spectral Analysis of Uneven Data in a Bipolar Charging Agglomeration System
Author(s) -
Wang L.,
He M.
Publication year - 2005
Publication title -
chemical engineering and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.403
H-Index - 81
eISSN - 1521-4125
pISSN - 0930-7516
DOI - 10.1002/ceat.200407005
Subject(s) - dissipation , autoregressive model , kinetic energy , energy (signal processing) , economies of agglomeration , spectral analysis , computational physics , spectral power distribution , physics , statistical physics , mathematics , statistics , optics , engineering , classical mechanics , thermodynamics , quantum mechanics , chemical engineering , spectroscopy
This paper presents particle dynamics analysis (PDA) results from three measurement sections of a bipolar charged agglomeration system. The periodogram model and the Burg algorithm for autoregressive spectral estimates were used for the spectral analysis of the unevenly spaced data. The one‐dimensional energy spectrum from the Burg algorithm is smoother than that from periodogram model. The spectrum of the main flow velocity with charging is lower than for the case without charging. The results show that the one‐dimensional kinetic energy distribution at all frequencies can be well represented by the one‐dimensional energy spectrum. The dissipation rate was then obtained from the energy spectrum. The results also show that there is a lower dissipation rate in measurement section 1 with charging than without charging.