Towards the measurement of local particle mass fractions in magnetite suspensions
2014 (English)In: 2014 IEEE International Ultrasonics Symposium, IUS 2014: Chicago, Ill, 3-6 September 2014, Piscataway, NJ: IEEE Communications Society, 2014, 939-942 p.Conference paper (Refereed)
In the mining industry, magnetite particles are transported in suspensions with water through different stages of the process. In some of these stages, it is of interest to monitor both the concentration and particle velocity over a cross-section of the flow. High particle concentration makes development of flow measurement techniques challenging. An additional challenge is that the flow is often accessible from one side only, which further limits the selection of applicable techniques. Previous work by the authors focused on using pulse-echo ultrasound for flow velocity profile estimation. In this paper the same setup is used to simultaneously study local variations in solids concentration. Ultrasound pulses are transmitted into the suspension, and the resulting backscatter is recorded. The statistics of the backscatter depend on solids concentration, particle size distribution, particle density, etc. We demonstrate how a short-time (windowed) Power Spectral Density (PSD) estimate can be used to obtain qualitative information about local solids concentration variations. For demonstration, a magnetite suspension carrying up to 7.5 vol% particles (29 wt%, mean particle size 34 μm) is pumped through a closed rectangular channel. When the pump is stopped, pulse-echo ultrasound (with a center frequency of 2.25 or 3.5 MHz) is used to monitor the sedimentation process. Nine snapshots of the process are included. These show a time lapse of the sedimentation, with 5 s between each image. It is clear that the short-time PSD is a good indicator of local mass fraction variations.
Place, publisher, year, edition, pages
Piscataway, NJ: IEEE Communications Society, 2014. 939-942 p.
Proceedings - IEEE Ultrasonics Symposium, ISSN 1948-5719
Research subject Mineral Processing; Signal Processing
IdentifiersURN: urn:nbn:se:ltu:diva-37238DOI: 10.1109/ULTSYM.2014.0230Local ID: b3519e56-37e8-43ef-b5ad-a5667b34dd0bISBN: 9781479970490 (print)OAI: oai:DiVA.org:ltu-37238DiVA: diva2:1010736
IEEE International Ultrasonics Symposium : 03/09/2014 - 06/09/2014
ProjectsWet LlMS - Measurements and models
Validerad; 2015; Nivå 1; 20140609 (janste)2016-10-032016-10-03Bibliographically approved