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Grant: Collaborative Research and Development Grants

University of Western Ontario

$249,546.00

Application of advanced surface characterization technologies (ASCT) towards process optimization through diagnosis and problem-solving in flotation and extractive metallurgy

EF 2015-16

Résumé
Efficiency of metal recovery requires optimized strategies reflecting the complex mineral chemistry that is encountered in many mineral processing operations. Methods of recovery (eg. flotation and cyanidation) have operated for more than a century. However, a quantitative relationship between mineral chemistry, mineral surface chemistry and reaction to reagents is only modestly developed and strategic models for improved efficiency are lacking. Most problems are solved on a case-by-case analysis. The proposed research for 'Advanced surface characterization technologies towards process optimization for improved recoveries' combines expertise on surface and reagent chemistry, flotation processing, electro-chemical process models and applied metallurgy to develop optimization strategies in two major areas: (1) sulphide flotation and control measures and (2) gold and precious metal recovery. The aim of the project is to develop tools and methodologies to better identify factors controlling process efficiency. We believe that the development of an analytical decision tree will be a significant asset for industry metallurgists, where the application of high technology analytical tools to metallurgical processes is often overlooked in favor of more traditional approaches.
Programme
Collaborative Research and Development Grants
Emplacement
Ontario, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data

Tel que publié

Application id
434916-2012
Name nom
Hart, Brian
Department département
Surface Science Western
Organization id
36
Institution établissement
University of Western Ontario
Province en
Ontario
Province fr
Ontario
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2015
Competition year année de concours
2012
Award amount
249546
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
141
Committee name en
University/Industry
Committee name fr
Universités/industrie
Area of application code
202
Area of application group en
Natural resources (economic aspects)
Area of application group fr
Ressources naturelles (aspects économiques)
Area of application en
Mineral resources ( prospecting, exploration, mining, extraction, processing)
Area of application fr
Ressources minérales (prospection, exploration, mines, extraction et préparation)
Research subject code
1402
Research subject group en
Mining and mineral processing
Research subject group fr
Génie minier et minéral
Research subject en
Mineral processing
Research subject fr
Traitement des minéraux
Partie
3
Nb partie
4
Application title
Application of advanced surface characterization technologies (ASCT) towards process optimization through diagnosis and problem-solving in flotation and extractive metallurgy
Keyword
NSERC
Application summary
Efficiency of metal recovery requires optimized strategies reflecting the complex mineral chemistry that is encountered in many mineral processing operations. Methods of recovery (eg. flotation and cyanidation) have operated for more than a century. However, a quantitative relationship between mineral chemistry, mineral surface chemistry and reaction to reagents is only modestly developed and strategic models for improved efficiency are lacking. Most problems are solved on a case-by-case analysis. The proposed research for 'Advanced surface characterization technologies towards process optimization for improved recoveries' combines expertise on surface and reagent chemistry, flotation processing, electro-chemical process models and applied metallurgy to develop optimization strategies in two major areas: (1) sulphide flotation and control measures and (2) gold and precious metal recovery. The aim of the project is to develop tools and methodologies to better identify factors controlling process efficiency. We believe that the development of an analytical decision tree will be a significant asset for industry metallurgists, where the application of high technology analytical tools to metallurgical processes is often overlooked in favor of more traditional approaches.