New analyzers to unlock mineral value

Posted In: R&D Daily | Materials Science | Materials Testing | Materials | Processing | Materials | Test & Measurement

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Scientists are working on a new range of materials characterization analyzers and techniques that could help unlock the value contained in Australia’s mineral deposits and improve processing performance, according to the October issue of Process.

Machine-mounted sensors, being developed through CSIRO Minerals Down Under Flagship, could help locate ore deposits, characterize the mining environment, and differentiate ore grades.

This will enable automated mining machines to respond ‘intelligently’ to the changing detail of the environment and offer real-time amendments to the mine plan.

Another prototype in development combines the best features of two existing materials characterization techniques – x-ray diffraction and x-ray fluorescence – into a new slurry analyzer.

The new prototype, dubbed XRDF for its dual origins, is capable of measuring both mineralogy and ultra-low elemental composition directly on a process-stream, without the need for labor-intensive, time-consuming and potentially error-prone sampling.

CSIRO scientist Dr James Tickner said the new prototype could offer a number of benefits over existing on-stream analyzers.

“We’re not aware of any other system capable of doing accurate, on-stream mineralogy,” Dr Tickner said.

“The ability to detect elements at parts-per-billion levels in an on-stream system is unique.”

“We’re not aware of any other system capable of doing accurate, on-stream mineralogy,”

Dr Tickner said.

Dr Tickner and his team are also working on gamma-activation analysis – a new analysis method that may deliver all the benefits of neutron activation without the need for a nuclear reactor.

The method is expected to provide accurate, multi-element analysis of mineral samples without extensive sample preparation, and measure very low levels of more than 30 elements in samples weighing just a few hundred grams.

The method could significantly improve sampling accuracy.

Original article

SOURCE: CSIRO

1 Comments

  • maybe others have the solution already and don't want to publish.
    the science technique discussed is mediocre and incomplete solution.

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