Early detection of agglomeration in conical spouted beds using recurrence plots

Chiya Savari, Gorkem Kulah, Rahmat Sotudeh-Gharebagh*, Navid Mostoufi, Murat Koksal

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

7 Citations (Scopus)
144 Downloads (Pure)


The agglomeration of particles in a conical spouted bed was investigated using a recurrence plot (RP) and recurrence quantification analysis (RQA) of the pressure fluctuations (PFs) and acoustic emission (AE) signals. Experiments were carried out in a 45° conical spouted bed with sugar particles (dp = 720 μm; ?p = 1580 kg/m3). Water was sprayed incrementally into the bed to produce agglomerates during the operation. Several recurrence quantification parameters were calculated during the agglomeration process, and the most suitable ones were chosen for early prediction of the agglomeration in the bed. The results show that recurrence rate, determinism, and laminarity of PFs and AE signals increase during the agglomeration process, which indicate that bed behavior becomes more periodic and deterministic in nature. Additional examination of the RQA parameters show that AE signals are substantially more sensitive to the hydrodynamic changes that occur in the bed, compared to those of PFs, and therefore can detect changes earlier, with more accuracy.

Original languageEnglish
Pages (from-to)7179-7190
Number of pages12
JournalIndustrial and Engineering Chemistry Research
Issue number26
Early online date21 Jun 2016
Publication statusPublished - 6 Jul 2016

ASJC Scopus subject areas

  • General Chemistry
  • General Chemical Engineering
  • Industrial and Manufacturing Engineering


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