Flow characterization of high-pressure dense-phase pneumatic conveying of coal powder using multi-scale signal analysis--颗粒学报PARTICUOLOGY

Fu, F., Xu, C., & Wang, S. (2018). Flow characterization of high-pressure dense-phase pneumatic conveying of coal powder using multi-scale signal analysis. Particuology, 36, 149-157. https://doi.org/10.1016/j.partic.2017.05.003

Flow characterization of high-pressure dense-phase pneumatic conveying of coal powder using multi-scale signal analysis

Feifei Fu ^a *, Chuanlong Xu ^b, Shimin Wang ^b

a School of Physics and Technology, University of Jinan, Jinan 250022, China
b Key Laboratory of Energy Thermal Conversion and Control of Ministry of Education, School of Energy and Environment, Southeast University, Nanjing 210096, China

10.1016/j.partic.2017.05.003

Volume 36, February 2018, Pages 149-157

Received 17 June 2016, Revised 24 April 2017, Accepted 6 May 2017, Available online 31 July 2017, Version of Record 22 December 2017.

E-mail: sps_fuff@ujn.edu.cn

Highlights

• Three subsets were reconstructed from measured electrostatic signals using EMD and Hurst analysis.

• Multi-scale motion characteristics of single particles and particle clusters were determined.

• Relative energy contributions of micro- and meso-scale subsets to total signals were dominant.

Abstract

Flow characterization of high-pressure dense-phase pneumatic conveying of coal powder is not fully understood. To further reveal the dynamic behavior of coal particles in dense-phase pneumatic conveying pipelines, a method for the scale decomposition of particle motion based on empirical mode decomposition and Hurst analysis of experimental electrostatic signals is reported. This allows the multi-scale motion characteristics of single coal particles and particle clusters to be determined. Micro-, meso-, and macro-scale subsets were reconstructed, which reflected the different behaviors of the coal particles: specifically, dynamic features of the micro-scale subset represented features of single particle collisions and frictional interactions; dual fractal characteristics of the meso-scale subset described the motion of coal particle clusters; and features of the macro-scale subset reflected persistent dynamic behavior of the entire pneumatic conveying system. Motion behavior of single particles and particle clusters could be respectively investigated by considering the relative energies of the micro- and meso-scale contributions to the electrostatic signal. This was verified both by theoretical analysis and experiment.

Graphical abstract

Keywords

Dense-phase pneumatic conveying; Multi-scale; Empirical mode decomposition; Hurst analysis; Electrostatic signal

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