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Monitoring Mineral Slurry Flow using Pulse-Echo Ultrasound
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Signals and Systems.ORCID iD: 0000-0002-6216-6132
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Minerals and Metallurgical Engineering.ORCID iD: 0000-0002-8032-9388
Number of Authors: 42016 (English)In: Flow Measurement and Instrumentation, ISSN 0955-5986, E-ISSN 1873-6998, Vol. 50, p. 135-146Article in journal (Refereed) Published
Abstract [en]

Ultrasound based flow measurement methods have a large potential for the mining industry and its processing plants. Ultrasound travel through dense suspensions and is not affected by the magnetic fields sometimes present in this type of equipment.A cross-correlation based method is used for localized particle velocity measurements in one and two dimensions. Simultaneously, using the same data, information about local particle concentration is extracted from the power spectral density of the backscattered signal. Experiments are carried out both in simplified geometry and in full scale equipment in an iron ore pilot benefication plant.In the simple geometry it is possible to assess the precision of the methods by comparing the measurements to theory and numerical simulations. The results from the pilot plant experiments show that these methods can be applied to real world processes

Place, publisher, year, edition, pages
2016. Vol. 50, p. 135-146
National Category
Metallurgy and Metallic Materials Signal Processing
Research subject
Mineral Processing; Signal Processing
Identifiers
URN: urn:nbn:se:ltu:diva-11762DOI: 10.1016/j.flowmeasinst.2016.06.022ISI: 000383826800015Scopus ID: 2-s2.0-84978027775Local ID: ac5e0544-9c34-42c3-b92f-16cc7bb885feOAI: oai:DiVA.org:ltu-11762DiVA, id: diva2:984712
Note

Validerad; 2016; Nivå 2; 20160627 (johanc)

Available from: 2016-09-29 Created: 2016-09-29 Last updated: 2018-07-10Bibliographically approved

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Stener, JanCarlson, JohanSand, AndersPålsson, Bertil

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