Online continuous measurement of the size distribution of pneumatically conveyed particles by acoustic emission methods

Hu, Yonghui, Qian, Xiangchen, Huang, Xiaobin, Gao, Lingjun, Yan, Yong (2014) Online continuous measurement of the size distribution of pneumatically conveyed particles by acoustic emission methods. Flow Measurement and Instrumentation, 40 . pp. 163-168. ISSN 0955-5986. (doi:10.1016/j.flowmeasinst.2014.07.002) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided)

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http://dx.doi.org/10.1016/j.flowmeasinst.2014.07.0...

Abstract

The particle size distribution of pulverized fuel in pneumatic conveying pipelines is an important physical characteristic closely related to mill energy economy, fuel flow property, combustion efficiency and pollutant emissions. In order to determine the size distribution of pneumatically conveyed fuel particles on an online continuous basis, an instrumentation system based on acoustic emission (AE) method is developed. This method extracts information about particle size distribution from the impulsive AE signals generated by the impacts of particles with a metallic waveguide introduced into the particle flow. Analytical modeling of the particle impact is performed in order to establish the relationship between the particle size and the peak AE voltage. With the particle velocity obtained from an electrostatic velocimetry system and the pulse magnitude determined using a peak detection algorithm, the particle size is computed directly using the developed model. Experimental results obtained with glass beads on a laboratory-scale particle flow test rig demonstrate that the system is capable of discriminating particles of different sizes from the AE signals. The system has several appealing features such as online continuous measurement, high sensitivity, simple sensor structure and low cost, which make it well suited for industrial applications.

Item Type: Article
DOI/Identification number: 10.1016/j.flowmeasinst.2014.07.002
Subjects: T Technology
Divisions: Faculties > Sciences > School of Engineering and Digital Arts
Faculties > Sciences > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Tina Thompson
Date Deposited: 09 Dec 2014 11:59 UTC
Last Modified: 29 May 2019 13:51 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/45827 (The current URI for this page, for reference purposes)
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