The role of robotic innovation in ore characterization, mineralogy and geometallurgy - Mette Dobel, FLSmidth
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The role of robotic innovation in ore characterization, mineralogy and geometallurgy - Mette Dobel, FLSmidth

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The role of robotic innovation in ore characterization, mineralogy and geometallurgy
Mette Dobel,Global Product Manager, Laboratory solutions, FLSmidth, Denmark

Mining On Top: Helsinki
16-17 September 2013 | Helsinki

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The role of robotic innovation in ore characterization, mineralogy and geometallurgy - Mette Dobel, FLSmidth The role of robotic innovation in ore characterization, mineralogy and geometallurgy - Mette Dobel, FLSmidth Presentation Transcript

  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. The role of robotic innovation in ore characterization, mineralogy and geometallurgy Mette Dobel, Global Product Manager, FLSmidth Co-author – Kevin Ausburn, Chief Mineralogist, FLSmidth 1
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Safety Share 2
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Where is the technology currently when considering industrial automation 3  Mature: Ore grade  Innovative: Mineralogy  Future: Geometallurgy
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. 4 Mature technology: Chemical analysis of exploration and mine site materials Example of such ore grade automated laboratory Coarse preparation and fire assay dosing
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Labtium Oy, Rovaniemi 515 September 2013QCXM Sales Presentation Sample weighing Sub-sample dosing and tagging Dosing of FA flux Mixing Filling in FA crucible Crushing Splitting Reject bagging and tagging Pulverizing Bowl cleaning
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Innovative Technology: Mineralogical analysis Different methodologies are emerging from the R&D laboratories through automation efforts. I will focus on two: Automated sample preparation integrated with X-ray diffraction using the Rietveld Method Automatic logging of drill cores using hyper spectral technology interfacing to the CSIROs material database. 6
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Robotized Sample Prep – for XRD analysis 7 Crushing Splitting Pulverizing Bagging and tagging Fine milling Splitting Soft press XRD
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Dosing of powder sample Sample leveling / cleaning of dosing section Sample pressing/ cleaning of leveller Moving of ring with pressed material to output position / cleaning of pressing section Cleaning of ring stored for the longest time in magazine Moving of ring to input position / storage of used ring in magazine ASP 100 is ready for another pressing The innovation: ASP100 Sample pouring Sample holder with pressed sample
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Performance evaluation The XRD prep and analysis system was installed to:  Reduce turnaround time (from sample to analysis)  Improve preparation and analytical performance  Cost benefit  Safety improvement Experiments and analysis have been made to evaluate these targets against the excellent manual laboratory procedures currently in place 9 Performance target Outcome Reduce turnaround time Improve analysis Cost benefit Safety improvement
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Turnaround time  Method: 8 sample batch from dried coarse sample to XRD analysis. Timed the duration of the process in the manual and automated process  Results: Manual = 2 hours 29 minutes Automation = 1 hour 31 minutes 39% reduction in processing time  For the daily capacity of 200 Samples = 56% reduction in processing time 10
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Cross Contamination test in progress  Method: Process sequentially Quartz samples and Copper Ore samples: Q1 Cu1 Q2 Cu2 Cu3 Cu4 Cu5 Q3.  Run this sequence in both the RoboLab and in manual equipment  Results: Robotized system cross contamination = 0.47% distribution of material carryover Manual preparation cross contamination = 0.49% distribution of material carryover 11
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. -0.300 -0.250 -0.200 -0.150 -0.100 -0.050 0.000 0.050 0.100 1 2 3 4 5 6 7 8 9 10 Displacement(mm) Test # Sample Displacement RoboLab Pressed Sample Manual Back Loaded Sample Average = 0.05 STDEV = 0.02 Average = -0.18 STDEV = 0.04 Significantly •less preferred orientation •less sample displacement •less variance = •Improved sample analysis quality •Optimized process design •Optimized production process A complex research based technique is suddenly available as an industrial process -150 -100 -50 0 50 100 150 Phi (°) 0 10000 20000 30000 40000 Intensity(counts) -150 -100 -50 0 50 100 150 Phi (°) 0 10000 20000 30000 Quality Benefits in XRD analysis 12 ASP100 Manual backloading
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Financial evaluation  Input:  Delta of investment between manual and automated capital cost is $1.1 Million USD  Personnel reduction of 4  Increase in lab productivity due to max. utilization of equipment and faster through put  Cost of capital of 10%  Result:  Payback in year 5  NPV at year 15 = $1.6 Million USD 13 -1.500.000 -1.000.000 -500.000 - 500.000 1.000.000 1.500.000 2.000.000 0 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Safety improvements  Many repetitive and hazardous tasks eliminated through the preparation process  Hard to measure, but examples include the dust inhalation, sample lifting, noise, injury from equipment  FLSmidth strives for 4 LTI hours per 1 million hours. 14
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Conclusions 15 Performance target Outcome Reduce turnaround time Less then half Improve analysis Automated superior to manual Cost benefit NPV of $1.5M USD Safety improvement Hazards reduced
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Another innovation: Hyperspectral mineralogical logging and imaging of drill core and chips 9/15/2013Title 16 HyLoggingTM: a new set of eyes to rapidly and objectively quantify minerals
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Fundamentals of HyLogging spectrometry 17
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. HyLogging hardware 18  2 reflectance spectrometers (VNIR / SWIR ) 400-2500nm  Calibration targets and internal references  Digital camera (linescan or framing)  Lighting (two sets – camera and spectrometers) ..& software  ‘The Spectral Geologist’ sw data treatment  Images  Historic data available for later evaluation
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. HyLogging advantages Rapid collection of high density spectral reflectance measurements. • Continuous high-resolution color imagery • Objective, consistent and effective core logging • Increased geological knowledge • Near real time analyses • Non destructive • Samples measured in their original trays • Maximizes the value of drilling expenditure • Improved geometallurgical understanding • Historical digital archive of all cores and rock chips • Addresses shortage of skill and expertise
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. The future could be…  Automated geometallurgy as done by scanning electron microscopes combined with automated sample preparation and high level software direct optimization of the minerals processing plants. ..to make R&D based techniques available for production in mines and minerals processing plants through reliable economically justifiable solutions 20
  • The information contained or referenced in this presentation is confidential and proprietary to FLSmidth and is protected by copyright or trade secret laws. Thank you! 21