European Industrial Doctorate in future efficient minerals analysis, processing and training

Informazioni relative al progetto

MetalIntelligence

ID dell’accordo di sovvenzione: 722677

DOI 10.3030/722677

Progetto chiuso

Data della firma CE 1 Agosto 2016

Data di avvio 1 Settembre 2016

Data di completamento 31 Agosto 2020

Finanziato da

• EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions

Costo totale € 1 596 958,56

Contributo UE € 1 596 958,56

Coordinato da

THE PROVOST, FELLOWS, FOUNDATION SCHOLARS & THE OTHER MEMBERS OF BOARD, OF THE COLLEGE OF THE HOLY & UNDIVIDED TRINITY OF QUEEN ELIZABETH NEAR DUBLIN
Ireland

Risultati finali

Other (10)

New materials modules for reflective light microscopy on UK Virtual Microscope
Induction meeting

Induction week for all ESRs and members of the consortium

Numerical algorithm that empirically predicts the feedback loop between plant inputs and outputs
Awarding of doctoral degrees
Quantification of Ni and Mo content in pyrite
ESR position advertised

All 6 ESRs positions to be advertised

Multiple method estimation of modal mineralogy
MetalIntelligence final conference
High-resolution X-ray tomographaphic characterisation of ore samples
Project website and social media

Set up of project website and social media accounts

Websites, patent fillings, videos etc. (2)

New versions of on-line mining games
ESR short movies

Short movies about each of the ESRs research

Documents, reports (1)

PhD theses

PhD theses submitted

Pubblicazioni

Peer reviewed articles (4)

Application of machine learning techniques in mineral phase segmentation for X-ray microcomputed tomography (µCT) data

Autori: Pratama Istiadi Guntoro, Glacialle Tiu, Yousef Ghorbani, Cecilia Lund, Jan Rosenkranz
Pubblicato in: Minerals Engineering, Numero 142, 2019, Pagina/e 105882, ISSN 0892-6875
Editore: Elsevier BV
DOI: 10.1016/j.mineng.2019.105882

X-ray Microcomputed Tomography (µCT) for Mineral Characterization: A Review of Data Analysis Methods

Autori: Pratama Istiadi Guntoro, Yousef Ghorbani, Pierre-Henri Koch, Jan Rosenkranz
Pubblicato in: Minerals, Numero 9/3, 2019, Pagina/e 183, ISSN 2075-163X
Editore: MDPI
DOI: 10.3390/min9030183

Textural Quantification and Classification of Drill Cores for Geometallurgy: Moving Toward 3D with X-ray Microcomputed Tomography (µCT)

Autori: Pratama Istiadi Guntoro, Yousef Ghorbani, Alan R. Butcher, Jukka Kuva, Jan Rosenkranz
Pubblicato in: Natural Resources Research, 2020, ISSN 1520-7439
Editore: Kluwer Academic/Plenum Publishers
DOI: 10.1007/s11053-020-09685-5

Repurposing legacy metallurgical data Part I: A move toward dry laboratories and data bank

Autori: Yousef Ghorbani, Glen T. Nwaila, Steven E. Zhang, Martyn P. Hay, Lunga C. Bam, Pratama Istiadi Guntoro
Pubblicato in: Minerals Engineering, Numero 159, 2020, Pagina/e 106646, ISSN 0892-6875
Editore: Elsevier BV
DOI: 10.1016/j.mineng.2020.106646