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Velocity Measurement of Pneumatically Conveyed Particles using Intrusive Electrostatic Sensors

Shao, Jiaqing, Krabicka, Jan, Yan, Yong (2010) Velocity Measurement of Pneumatically Conveyed Particles using Intrusive Electrostatic Sensors. IEEE Transactions on Instrumentation and Measurement, 59 (5). pp. 1477-1484. ISSN 0018-9456. (doi:10.1109/TIM.2010.2040960) (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) (KAR id:24331)

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.
Official URL:
http://dx.doi.10.1109/TIM.2010.2040960

Abstract

This paper reports recent developments of electrostatic sensors for the continuous velocity measurement of particles in pneumatic conveying pipelines. The optimization of introsuve electrostatic sensors is investigated through finite-element modeling and experimental evaluation. The effects of electrode dimensions and intrusion depth on sensor signals and correlation-based velocity measurement are addressed. The modeling results were validated for a range of velocity profiles using a dedicated belt rig, which produces idealized particle flow. A series of online experimental tests using circular and rod electrodes was conducted on an industrial-scale pneumatic conveyor injecting pulverized coal and biomass particles. The results demonstrate that electrostatic sensors are capable of providing reliable velocity measurement of pneumatically conveyed particles with excellent repeatability and fast dynamic response in an industrial environment.

Item Type: Article
DOI/Identification number: 10.1109/TIM.2010.2040960
Uncontrolled keywords: Biomass, electrode, electrostatic sensor, flow measurement, pulverized fuel, two-phase flow, velocity measurement
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters etc. Industrial instrumentation
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Engineering and Digital Arts
Depositing User: J. Harries
Date Deposited: 23 Apr 2010 09:59 UTC
Last Modified: 16 Nov 2021 10:02 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/24331 (The current URI for this page, for reference purposes)

University of Kent Author Information

Shao, Jiaqing.

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Krabicka, Jan.

Creator's ORCID:
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Yan, Yong.

Creator's ORCID: https://orcid.org/0000-0001-7135-5456
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