Analytical Techniques for Online Mineral Identification

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorZenger, Kai, Dr., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.contributor.authorKhajehzadeh, Navid
dc.contributor.departmentSähkötekniikan ja automaation laitosfi
dc.contributor.departmentDepartment of Electrical Engineering and Automationen
dc.contributor.labControl Engineering Groupen
dc.contributor.schoolSähkötekniikan korkeakoulufi
dc.contributor.schoolSchool of Electrical Engineeringen
dc.contributor.supervisorVisala, Arto, Prof., Aalto University, Department of Electrical Engineering and Automation, Finland
dc.date.accessioned2018-09-22T09:03:01Z
dc.date.available2018-09-22T09:03:01Z
dc.date.defence2018-10-05
dc.date.issued2018
dc.description.abstractThe exploration and mineral processing phases of mining need advanced measurement and analytical techniques to speed up the process of mineral identification. Rapid mineral identification is necessary for a better process control and efficient use of energy and raw materials.  Although the spectroscopic techniques performed in the laboratories provide accurate results, the process of measuring, data preparation and analysis is slow and far from the goal of rapid analysis. Geologists are enthusiastic about the abundance of the minerals as well as the mineral map of the surface of the drill core samples. Therefore, there is a need to develop new techniques enabling rapid mineral identification of the rock and ore drill core samples.  Ore beneficiation is yet another process where online mineral identification is required. The control of the flotation processes is strongly relying on the online analysis of elemental contents in the process feed, final product and tailings, as well as in the intermediate material flows inside the process. However, it is the minerals that affect how the ore behaves in the flotation process. Therefore, online analysis of minerals would enable more accurate process control in several flotation applications when compared to the online elemental analysis.  This thesis investigates whether the data of the currently available measurement techniques could be utilized to extract mineralogical information. The target is qualitative and quantitative mineral identification with the smallest amount of investment or modification of the instruments.  The main results of the thesis show that the spectral integration of the commonly used spectroscopic techniques such as X-ray fluorescence (XRF), Laser-induced fluorescence (LIF), Laser-induced breakdown spectroscopy (LIBS), reflectance spectroscopy and Raman spectroscopy, enables the rapid identification of mineral contents. Advanced statistical techniques such as partial least squares (PLS) provide a means of determining the mineral contents from the available measured spectra.en
dc.format.extent93 + app. 59
dc.format.mimetypeapplication/pdfen
dc.identifier.isbn978-952-60-8183-0 (electronic)
dc.identifier.isbn978-952-60-8182-3 (printed)
dc.identifier.issn1799-4942 (electronic)
dc.identifier.issn1799-4934 (printed)
dc.identifier.issn1799-4934 (ISSN-L)
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/34069
dc.identifier.urnURN:ISBN:978-952-60-8183-0
dc.language.isoenen
dc.opnJuuso, Esko, Dr., Oulu University, Finland
dc.publisherAalto Universityen
dc.publisherAalto-yliopistofi
dc.relation.haspart[Publication 1]: Kauppinen, T., Khajehzadeh, N., Haavisto, O. Laser-induced fluorescence images and Raman spectroscopy studies on rapid scanning of rock drill core samples. International Journal of Mineral Processing, 2017,132, 26-33, DOI: 10.1016/j.minpro.2014.09.003
dc.relation.haspart[Publication 2]: Khajehzadeh, N., Kauppinen, T., Häkkänen, H. Laser-induced fluorescence imaging: detection of fluorescent minerals and estimation of abundance. In International Mineral Processing Congress, Oct, 2014.
dc.relation.haspart[Publication 3]: Khajehzadeh, N., Kauppinen, T. Fast mineral identification using elemental LIBS technique. In 4th IFAC Workshop on Mining, Mineral and Metal Processing MMM, 2015, Oct, 48, 17, 119-124, DOI: 10.1016/j.ifacol.2015.10.089
dc.relation.haspart[Publication 4]: Khajehzadeh, N., Haavisto, O., Koresaar, L. On-stream and quantitative mineral identification of tailing slurries using LIBS technique. Minerals Engineering, 2016, 98, 101-109, DOI: 10.1016/j.mineng.2016.08.002
dc.relation.haspart[Publication 5]: Khajehzadeh, N., Haavisto, O., Koresaar, L. On-stream mineral identification of tailing slurries of an iron ore concentrator using data fusion of LIBS, reflectance spectroscopy and XRF measurement techniques. Minerals Engineering, 2017, 113, 83-94, DOI: 10.1016/j.mineng.2017.08.007
dc.relation.ispartofseriesAalto University publication series DOCTORAL DISSERTATIONSen
dc.relation.ispartofseries177/2018
dc.revManlapig, Emmanuel, Dr., University of Queensland, Australia
dc.revToivonen, Juha, Asst. Prof., Tampere University of Technology, Finland
dc.subject.keywordmineral identificationen
dc.subject.keywordx-ray fluorescenceen
dc.subject.keywordlaser-induced fluorescenceen
dc.subject.keywordlaser-induced breakdown spectroscopyen
dc.subject.keywordreflectance spectroscopyen
dc.subject.keyworddata fusionen
dc.subject.keyworddata modelingen
dc.subject.keywordpartial least squares regressionen
dc.subject.otherElectrical engineeringen
dc.titleAnalytical Techniques for Online Mineral Identificationen
dc.typeG5 Artikkeliväitöskirjafi
dc.type.dcmitypetexten
dc.type.ontasotDoctoral dissertation (article-based)en
dc.type.ontasotVäitöskirja (artikkeli)fi
local.aalto.acrisexportstatuschecked 2019-03-07_1559
local.aalto.archiveyes
local.aalto.formfolder2018_09_21_klo_14_39

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