DocumentCode :
784941
Title :
Particle concentration characteristics and density measurements of slurries using electromagnetic flowmeters
Author :
Eren, Halit
Author_Institution :
Sch. of Electr. & Comput. Eng., Curtin Univ. of Technol., Bentley, WA, Australia
Volume :
44
Issue :
3
fYear :
1995
fDate :
6/1/1995 12:00:00 AM
Firstpage :
783
Lastpage :
786
Abstract :
DC type electromagnetic flowmeters generate signals proportional to the flowrates of fluids in closed pipes. These signals are processed suitably for flow measurements. However, further studies indicate that the generated signals carry secondary information on the characteristics of fluids such as densities, particle size distributions of the solids, and the types of materials used which make up the slurry. This secondary information manifests itself by having a distinctly identifiable frequency component and amplitude component. A low-cost spectrum analyzer is an effective method of extracting the frequency components. A peak detector based on comparators and A/D conversion principles was found to be adequate in extracting the amplitude component of the signals. Results obtained from the spectrum analyzer and the peak amplitude detector can then be related, digitally, to the density and other characteristics of slurries
Keywords :
analogue-digital conversion; electric sensing devices; flow measurement; flowmeters; peak detectors; pipe flow; signal processing equipment; spectral analysis; two-phase flow; A/D conversion; DC type electromagnetic flowmeters; Faraday´s voltage effect; amplitude component; closed pipes; comparators; densities; density measurement; electromagnetic flowmeters; flow measurements; identifiable frequency component; particle concentration characteristics; particle size distributions; peak amplitude detector; peak detector; secondary information; signal processing; slurries; spectrum analyzer; DC generators; Data mining; Density measurement; Detectors; Electromagnetic measurements; Frequency; Signal generators; Signal processing; Slurries; Spectral analysis;
fLanguage :
English
Journal_Title :
Instrumentation and Measurement, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9456
Type :
jour
DOI :
10.1109/19.387332
Filename :
387332
Link To Document :
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