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Increasing yield on Tungsten and Tantalum ore production by means of advanced and flexible control on crushing, milling and separation process

Objective

Modern economy is highly dependent on specific raw materials, and it is envisaged that this dependency will increase in the near future. Most of them are scarce in EU and of poor purity, being mixed within complex and low grade aggregates which need to be processed by means of a separation process consuming high quantities of energy and water, and even in some cases this makes its exploitation unfeasible due to production costs.
Being EU dependent on some of these materials, as identified by EIP initiative, our society is demanding more efficient extracting processes to contribute to major European independency on these Critical Raw Materials.
Tungsten and Tantalum ores are two recognized CRMs: In a market currently dominated by China and Russia production (among others), in Europe Tungsten (limited) production is mostly concentrate into UK, Spain and Portugal . On the other side, Tantalum is a key element on electronics with clear EU external production dependency, as it is naturally really scarce in Europe (only 1% of world production is concentrated in EU).
Knowing this situation, OptimOre Project proposes the research and development of modelling and control technologies, using advanced sensing and advanced industrial control by means of artificial intelligence techniques, for the more efficient and flexible Tantalum and Tungsten ores processing from crushing to separation process, with the participation of relevant international players in the mining field on research (Chalmers University- Dr. Magnus Evertsson, Exeter University with Dr. Richard Pascoe, Freiburg University with Dr. Holberg Lieberwirth, among others). The project proposes a 3 years collaboration among 8 partners of 4 different countries.

Field of science

  • /social sciences/economics and business/business and management/commerce
  • /natural sciences/chemical sciences/inorganic chemistry/inorganic compounds
  • /natural sciences/computer and information sciences/artificial intelligence

Call for proposal

H2020-SC5-2014-one-stage
See other projects for this call

Funding Scheme

RIA - Research and Innovation action

Coordinator

UNIVERSITAT POLITECNICA DE CATALUNYA
Address
Calle Jordi Girona 31
08034 Barcelona
Spain
Activity type
Higher or Secondary Education Establishments
EU contribution
€ 1 069 250

Participants (7)

CHALMERS TEKNISKA HOEGSKOLA AB
Sweden
EU contribution
€ 837 156,25
Address
-
41296 Goeteborg
Activity type
Higher or Secondary Education Establishments
THE UNIVERSITY OF EXETER
United Kingdom
EU contribution
€ 550 000
Address
The Queen's Drive Northcote House
EX4 4QJ Exeter
Activity type
Higher or Secondary Education Establishments
UNIVERSIDAD DE OVIEDO
Spain
EU contribution
€ 471 312,50
Address
Calle San Francisco 3
33003 Oviedo
Activity type
Higher or Secondary Education Establishments
TECHNISCHE UNIVERSITAET BERGAKADEMIE FREIBERG
Germany
EU contribution
€ 632 687,50
Address
Akademiestrasse 6
09599 Freiberg
Activity type
Higher or Secondary Education Establishments
INTERKONSULT LTD
United Kingdom
EU contribution
€ 329 875
Address
Mayden House Main Road Long Bennington Business Pa
NG23 5DJ Newark
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
EDMA INNOVA SL
Spain
EU contribution
€ 693 500
Address
Plaza De La Llibertat 11 Bajos
17100 La Bisbal D Emporda Girona
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
HELMHOLTZ-ZENTRUM DRESDEN-ROSSENDORF EV
Germany
EU contribution
€ 500 687,50
Address
Bautzner Landstrasse 400
01328 Dresden
Activity type
Research Organisations