MLA 650\650F

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A high-speed automated mineralogy analyzer widely used in the mining industry to optimize the performance of mineral processing operations.



The MLA (an acronym for Mineral Liberation Analyzer) is an automated mineral analysis system that can identify minerals in polished sections of drill core, particulate, or lump materials, and quantify a wide range of mineral characteristics, such as mineral abundance, grain size, and liberation.Mineral texture and degree of liberation are fundamental properties of ore and drive its economic treatment, making the data gathered by the MLA invaluable to geologists, mineralogists and metallurgists who engage in process optimization, mine feasibility studies, and ore characterization.

A key attribute of the MLA 650 system is synchronous acquisition of mineral and textural (microstructure) data pertaining to one coherent dataset. Advanced software automation enables unattended data acquisition. Basic system data such as modal mineralogy, grain sizes, mineral associations and mineral liberation, or calculated data such as elemental chemistry, rock matrix density or grade-recovery curves, are typically based on hundreds of thousands of underlying individual measurements and mineral classifications.

The MLA 650F reduces sample analysis turnaround time from days to hours, when compared to traditional automated mineralogy analyzers. This allows operators to increase metal recovery by responding faster and more frequently to changes in feed and waste stream mineralogy.


Technical applications
Ore characterisation

– ore deposits evaluation
– ore geometallurgic properties characterisation
– precious metalls nano-particles searsching and recognisigion
Ore elaboration parameters calculation & optimisation
– Analysing of effeciensy both of small and global manufacturings
– Milling particles`s size defining
Metalls extraction
– Definition of optimal flows to consentrator
– Effective ores mixing procuring
– Metallurgically poor mineral resources avoiding
Supporting programms for minerals analyses making

Mineral resources searching

Basic metals
– Cu ore
– Ni ore
– Fe ore
– Other ores (Pb, Zn, Mn)

Precious metals
– Platinum group metals
– U ore
– Au ore
– Other ores like Ag and Ti

Minerals used in industry

Heavy metals particles

Other branches of mining industry

Minerals additional characteristics, such as:
– Mineralogical composition of well core and minerals indicationg gas and oil

– Mineralogical compositions of coal ashes
– Soil pollution (wastes recycling)
– mineralogical comosition of dust (cement)

Fully-automated proces of minerals analyses, such as
Minerals classification

Minerals consentration

Elements location

Minerals structure

Minerals associations

Minerals liberated particles

Data automated collection, analysis and presentation:

MLA software package
Data collection software
– Controlling SEM and EDS data collection
– Samples database creation
Data analysis software
– Images processing and classification tools
– Minerals database controlling
Data input programm (DataView)
– Data review in table or graphic form
– Comparing, combining and filtering of data blocks
– Searching and grouping of similar minerals
– Minerals grains searching (modal analysis) and minerals distribution in the sample analysis (quantoty analysis)
– Partocles and grains size distribution
– Mineral associations, particles and inclusions
– Calculation of primary product quality curves
– Particles form and density

Types of images:
BSE – image
X-BSE – image + XFS
GXMAP – image + XFS maps (Ford`s methode)
SPL – search of liberated phase particles
XMOD – X-ray modal composition
RPS – Phase inclusions search
SX-BSE (Latty`s methode)
STD – automated construction of standart database
Double increase (Shuster`s methode)
Double exposure (Meller`s methode)
Linear scanning

  • Special sample holders for samples of any size and form, such as thin sections
  • MLA sertification and studying – quite recommended for MLA new users
  • Service and support contract
  • Studying options (SEM and EDS)

Scanning electron microscope specifications:

Electron optics
Superbright and superstable source based on Shottke`s field emission
Beam average stability: < 0.4 % / 10 hours
After-evacuation fast recovery – average time is less then 15 minutes

Detectors
two-segmented semiconducting BSED
SED, Everhart Thornley & low-vacuum SED (LFD) infrared camera

Vacuum
High vacuum working mode
Low vacuum working mode (from 10 to 130 Pa)
Natural enviroment working mode (from 1 to 4000 Па), ESEM
1 x 240 h/p turbomolecular pump, 2 foreline pumps

Resolution
1.2 nanometers @ 30 kV (SE)
2.5 nanometers @ 30 kV (BSE)
Accelerating voltage from 200 V to 30 kV
Probe current up to 100 µA, smoothly regulatable

Camera
Width 379 mm
Working distance 10 mm
XRFS observation angle 35˚
Equiped with EBSD, EDS and WDS detectors

Sample stage
X-Y = 150 mm
Z = 65 mm
T from – 5˚C to + 70˚C
R = 360˚, continuous

System controls
32-bit Windows® 7 GUI , keyboard, optic mouse

Images output to two 19″ LEDs,

SVGA 1280 x 1024

EDS:

Detector type:
Silicon drafing domains (SDD)
10 мм² active zone with an option of several detectors installtion
Energy distribution: 133 eV
Ultra-fast impulses transform without liquid nitrogen using
Cartographing and quantity analysis of spectors are possible

MLA 650F is a scanning electron microscope equiped with a FEG radiation sourse and a few EDX detectors in order to obtain data and images of many types of samples structure and composition. Basically, this samples are polished sections obtained during rocks processing, or well cores, or sedimentary rocks. Specialised software uses data obtained for calculating and analysing such characteristics as minerals type and composition, elements distribution, grains size, occurence of liberated particles and aglomerates. This system`s ability to shorten the time of operations from days to hous occured due to deep modernisation of it`s software and hardware. One of the greatest advantages of this modernisated system is an ability to obtain images with better resolutions in much less time. This effect is obtained due to superbright source of radiation, high-speed data collecting system, and also choosing the best samples among the others, better automatisation and design.