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Predicting the accuracy of mineral phase analysis by X-ray diffraction using Monte Carlo modelling

Published online by Cambridge University Press:  17 November 2014

Joel N. O'Dwyer ,
James R. Tickner  and
Greg J. Roach
Joel N. O'Dwyer*
Affiliation:
CSIRO Mineral Resources Flagship, Locked Bag 2005, Kirrawee, NSW 2232, Australia
James R. Tickner
Affiliation:
CSIRO Mineral Resources Flagship, Locked Bag 2005, Kirrawee, NSW 2232, Australia
Greg J. Roach
Affiliation:
CSIRO Mineral Resources Flagship, Locked Bag 2005, Kirrawee, NSW 2232, Australia
*
a)Author to whom correspondence should be addressed. Electronic mail: joel.o'[email protected]
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Abstract

Rapid, on-line measurement of feedstock mineralogy is a highly attractive technology for the mineral processing industry. A Monte Carlo particle transport-based modelling technique has been developed to help design and predict the measurement performance of on-line energy-dispersive X-ray diffraction (EDXRD) analysers. The accuracy of the technique was evaluated by performing quantitative phase analysis on a suite of fifteen synthetic potash ore samples. The diffraction profile of each sample was measured with a laboratory EDXRD analyser and an equivalent profile was simulated in the Monte Carlo package. Linear regression analysis was used to determine the mineral abundances in each sample from both the measured and modelled profiles. Comparison of the results showed that the diffraction profiles and measurement accuracies obtained by simulation agree very well with the measured data.

Keywords

Monte Carlo modellingenergy-dispersiveX-ray diffractionminerals processingonline analysis
Type
Technical Articles
Information
Powder Diffraction , Volume 29 , Issue S1 , December 2014 , pp. S102 - S106
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Copyright
Copyright © International Centre for Diffraction Data 2014 

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