A Method for Profiling Magnetic & Gravity Response of Metalliferous Ore Using Data from Mineralogic Mining
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1 A Method for Profiling Magnetic & Gravity Response of Metalliferous Ore Using Data from Mineralogic Mining James Strongman 1, Jake Harrison 1, Benjamin Tordoff 2 1 Petrolab Ltd., 2 Carl Zeiss Microscopy Ltd.
2 Petrolab Limited 20 years of consultancy to the mineral processing and mining industries Specialist in both mineralogical consultancy and commercial section preparation Team of innovative and forward thinking mineralogists, geologists and technicians Our core clients are mineral processers and mining consultants We understand their questions and how to get the answers
3 Overview Problem Mineral Processing circuits deal with particles composed of multiple minerals with different chemical & physical properties Process particles not minerals Method Results Future Using Mineralogic mining to map and profile a metallurgical test product and highlight key differences Profiles of the feed and resulting products reveal key data to guide and corroborate test work Focused analysis of the data sets reveals key physical and morphological data to improving recovery
4 Mineral Processing - Mineral processors look to identify a distinct difference between target mineral and gangue. - Four principle separation techniques - Flotation - Leaching - Gravity - Magnetic Chemical Physical - Case study selected Gravity and Magnetic profiling of a tungsten Ore test product - Study objective Asses and predict the feed and products response to gravity and magnetic separation
5 Gravity Separation - Key physical separator - Density g/cm3 Typical density difference across a tungsten ore would be between 2.65 g/cm 3 Quartz and Wolframite 7.3 g/cm 3 Test program used a Holman 2000 shaking table, capable of splitting on a s.g difference of ~1 g/cm 3 Wills et al 2011
6 Particles not Minerals - Particle will respond with combined properties of the contained minerals Gravity
7 Analysis Method Optimisation of microscope conditions, acceleration voltage and brightness/ contrast; Zeiss EVO MA 25 LaB6-SEM with 60mm 2 X- Flash N detector 20KV pixel size 5 µm - BSE Thresholding and Image analysis algorithms Define and segregate particles - Analysis High resolution BSE image of each particle and EDS data of each pixel Process time 0.04s (~5,000 counts) per spectra 2k 5k Particles - runtime 3 hours
8 CUMULATIVE RECOVERY Gravity Results - Feed Profile 100% Rougher Gravity feed +250 µm 90% 80% 70% 60% 50% 40% 30% 20% 10% Sample Wolframite Ferberite Cassiterite Ilmenite Haematite Magnetite Ferro-Mag Quartz 0% >7 SPECIFIC GRAVITY
9 Gravity Results
10 Results Profiles
11 Magnetic Separation - Key physical separator Magnetic response Typical magnetic response of minerals in a tungsten ore can be between Quartz and Magnetite Test program used a Carpco HIM induced roll separator, which can split differences of magnetic susceptibility ~0.1(A)
12 Particles not Minerals - Particle will respond with combined properties of the contained minerals Gravity - Electro-magnetic response
13 . Magnetic Profile
14 Magnetic Results
15 Results
16 Summary. - Process particles not minerals, the combined properties of each particle must be considered when predicting how it will respond. - Profile will show the key separation points and also overlaps. - Mineralogic is not only provides fully quantitative EDS analysis, but also is based in an MSQL data structure allows detailed integration of the data. - Study of the particles outside of the predicted response to lead to improved separation. - Future - Routine analysis in operating plants to build trending data sets to optimize circuits against feed mineralogy/ore type. - Assignment of probability against particle parameters to build simulation models. - Development of the magnetic separation profile by incorporating the effect of density of non-magnetic phases on para-magnetics.
17 Thank you for your attention Acknowledgements Nigel Macdonald & David Goldburn - SGS Minerals UK Robert Fitzpatrick Cambourne School of Mines for further information Please visit
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Consolidated Tin Mines Limited
Snapshot: Current CSD Share Price: $0.060 Current LME Tin Price: $22,950 Key Points Detailed information at www.csdtin.com.au Additional Tin Resource Acquired at Jeannie River Additional 13,440 tonne tin
ASX/MEDIA RELEASE 25 November EMERGENT CONFIRMS MAJOR JORC RESOURCE UPGRADE TO 561Mt FROM PREVIOUS 127Mt AT BEYONDIE IRON PROJECT
ASX/MEDIA RELEASE 25 November 2009 ASX Codes: EMG, EMGO EMERGENT CONFIRMS MAJOR JORC RESOURCE UPGRADE TO 561Mt FROM PREVIOUS 127Mt AT BEYONDIE IRON PROJECT Beyondie now comprises; Inferred Mineral Resource