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Bergforsk scholarship winners for best PhD thesis and licentiate thesis 2021

Published: 18 May 2021

Two doctoral students from the research subject Mineral Processing at Luleå University of Technology have been awarded with the Bergforsk scholarship for best PhD thesis (Pratama Istiadi Guntoro) and licentiate thesis (Parisa Semsari) in 2020.

The Bergforsk research foundation is founded by LKAB, Boliden and Zinkgruvan to promote excellent academic work in the field of economic geology, mining, mineral processing and geochemistry.

Pratama Istiadi Guntoro Bergforsk scholarship for best PhD thesis

Pratama Istiadi Guntoro defended his dissertation in December 2020, entitled “X-ray microcomputed tomography (µCT) as a potential tool in particle-based geometallurgy” Within his scientific work, under the supervision of Yousef Ghorbani and Jan Rosenkranz, several methods have been developed to deal with the challenges persisting in implementing µCT as an advanced diagnostic and non-destructive technique for 3D automated mineral characterization. The study demonstrated the efficient extraction of ore characteristics such as texture, mineralogy, and mineral liberation using μCT and identified current key limitations and potential measures for future development. It can be concluded from the results that the 3D mineral characterization allows for more accurate data to be used in geometallurgical modeling and subsequent decision-making processes for a more profitable and yet environmentally friendly mining operation.

Parisa Semsari Bergforsk scholarship for best licentiate thesis

Parisa Semsari presented her licentiate thesis “Effects of loading mechanisms and texture on ore breakage: A multidimensional study” in May 2020. Her research, supervised by Jan Rosenkranz and Mehdi Parian, is a detailed study of sub-processes that take place during the comminution of metal ores. The purpose is to investigate the effects of different loading mechanisms on particle fracture and mineral liberation during the fragmentation in order be able to optimize the grinding process.
To achieve this goal, Parisa has chosen two methods, numerical analysis of the three-dimensional deformation under load and two-dimensional image analysis to follow up micro-crack formation. The studies were conducted on iron ore samples of different texture and with different loading rates. The results show, inter alia, that the probability of breakage along the phase boundaries can be increased at a lower speed depending on the ore texture, i.e. adapting the comminution parameters to the ore texture provides an opportunity to improve the degree of liberation and also energy consumption.

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