On-line Measurement of Particle Size Distribution and Mass Flow Rate of Particles in a Pneumatic Suspension using Combined Imaging and Electrostatic Sensors

Carter, R.M. and Yan, Y. and Cameron, S.D. (2005) On-line Measurement of Particle Size Distribution and Mass Flow Rate of Particles in a Pneumatic Suspension using Combined Imaging and Electrostatic Sensors. Flow Measurement and Instrumentation, 16 (5). pp. 304-314. ISSN 0955-5986 . (The full text of this publication is not available from this repository)

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Official URL
http://dx.doi.org/10.1016/j.flowmeasinst.2005.03.0...

Abstract

This paper presents a novel instrumentation system that uses a combination of electrostatic and digital imaging sensors. An inferential approach is adopted for the mass flow measurement of particles, velocity and volumetric concentration of particles being measured independently. The velocity of particles is determined by cross correlating two signals derived from a pair of electrostatic sensors and the volumetric concentration of particles is obtained using a novel digital imaging sensor, which also provides particle size distribution data. The basic principles and limits of operation of the imaging sensor are discussed and explained. Results obtained from a pneumatic conveyor are presented which demonstrate good performance of the measurement system for both mass flow metering (accurate to about +/- 6%) and particle sizing (reliable to around +/- 2.5%). Particle size distribution results are also included and the insensitivity of particle sizing to changes in velocity and concentration is assessed. In addition, on-line sizing results are compared to off-line results, measured using an accepted laser diffraction based instrument, and good agreement is observed. In general, the results obtained are encouraging and the system shows great promise. (c) 2005 Elsevier Ltd. All rights reserved.

Item Type: Article
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA166 Instrumentation
Divisions: Faculties > Science Technology and Medical Studies > School of Engineering and Digital Arts > Instrumentation, Control and Embedded Systems
Depositing User: Yiqing Liang
Date Deposited: 05 Sep 2008 21:19
Last Modified: 14 Jan 2010 14:33
Resource URI: http://kar.kent.ac.uk/id/eprint/8929 (The current URI for this page, for reference purposes)
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