Alshahed, Osamh Sabri Mohammed Atia, Kaur, Baldeep ORCID: 0000-0002-1762-3058 and Bradley, Michael (2023) Application of recurrence quantification analysis to electrostatic measurements of horizontal gas-solid flow in pneumatic conveying of plastic pellets. In: ICBMH2023 - The 14th International Conference on Bulk Materials Storage, Handling and Transportation, 11th - 13th July 2023, Wollongong, New South Wales, Australia. (Unpublished)

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Abstract

The recurring dynamics of fully developed gas-solid flow patterns are characterised using recurrence quantification analysis of bottom arch-shaped electrostatic sensor data in horizontal pneumatic conveying of plastic pellets. The recurrence quantification analysis is applied to recurrence plots developed from phase spaces (attractors) reconstructed from the bottom arc-shaped electrostatic sensor signals using a statistical measure, the approximate entropy (AE). The AE measure is the probability of the unpredictability between past and future dynamics in a phase space used to select a specific range of recurring dynamics in the recurrence plot to characterise different flow patterns: stratified flow, pulsating flow, moving dunes and blowing dunes. The flow patterns were identified using high-speed video imaging of a transparent pipeline and classified at several operating conditions in a flow pattern map and state diagram. It is found that optimal operating conditions at the minimum energy consumption conveying operation in the state diagram are between moving dunes and blowing dunes. Through visual observation, recurrence plots of the identified flow patterns showed different qualitative structures. The qualitative structure of recurrence plots is quantified using a recurrence quantification analysis measure, the recurrence rate (RR). The AE and RR measures are correlated with the state diagram, indicating that the complexity of electrostatic sensor signals can classify the flow patterns at different operating conditions.

Item Type:	Conference or Conference Paper (Paper)
Uncontrolled Keywords:	gas-solid flow; pneumatic conveying; chaos analysis; recurrence plot; recurrence quantification analysis
Subjects:	Q Science > Q Science (General) T Technology > T Technology (General)
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Engineering (ENG) Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology
Last Modified:	23 Nov 2023 16:08
URI:	http://gala.gre.ac.uk/id/eprint/43669

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