Add to ORKGWith the ever increasing pressure for digitization and optimization of mineral processing operations, there is a growing need for real-time monitoring solutions providing informations about individual particles and their nature. This paper briefly reviews existing on-stream analytical techniques and stresses the need for “single particle sensing systems”. A series of technologies developed at ULiège, GeMMe, are presented together with a small case study
The major challenges currently facing the mining industry are related to the growing trend to deal w...
Minerals processing has faced, over the last century, the challenge of an ever increasing demand for...
This paper proposes a novel algorithm to detect the particle size distribution of ores with irregula...
Mineral processing relies heavily on the differential behaviour of particles in slurries. In order t...
This thesis considers machine vision in the context of the mining, mineral and metal industry (MMMI)...
Optical based characterization techniques and related analytical methodologies, originally utilized ...
peer reviewedSince the early seventies high chromite and low base metal sulphide (BMS) contents of t...
Urban mining is defined as the process of reclaiming raw materials from spent products, buildings an...
Sensor-based particle-by-particle sorting is a technique in which singular particles are mechanicall...
Among the numerous challenges recently confronting the mining industry is the need to process ore wi...
peer reviewedAutomated mineralogy has been around for more than thirty years as the reference techni...
The objective of this research project was to develop a methodology to establish the potential of au...
The use of mechanical sieves has a great impact on measurement results because occurrence of anisome...
Geometallurgy combines geological and metallurgical information to create spatially-based predictive...
Automatic control of fine coal cleaning circuits has traditionally been limited by the lack of senso...
The major challenges currently facing the mining industry are related to the growing trend to deal w...
Minerals processing has faced, over the last century, the challenge of an ever increasing demand for...
This paper proposes a novel algorithm to detect the particle size distribution of ores with irregula...
Mineral processing relies heavily on the differential behaviour of particles in slurries. In order t...
This thesis considers machine vision in the context of the mining, mineral and metal industry (MMMI)...
Optical based characterization techniques and related analytical methodologies, originally utilized ...
peer reviewedSince the early seventies high chromite and low base metal sulphide (BMS) contents of t...
Urban mining is defined as the process of reclaiming raw materials from spent products, buildings an...
Sensor-based particle-by-particle sorting is a technique in which singular particles are mechanicall...
Among the numerous challenges recently confronting the mining industry is the need to process ore wi...
peer reviewedAutomated mineralogy has been around for more than thirty years as the reference techni...
The objective of this research project was to develop a methodology to establish the potential of au...
The use of mechanical sieves has a great impact on measurement results because occurrence of anisome...
Geometallurgy combines geological and metallurgical information to create spatially-based predictive...
Automatic control of fine coal cleaning circuits has traditionally been limited by the lack of senso...
The major challenges currently facing the mining industry are related to the growing trend to deal w...
Minerals processing has faced, over the last century, the challenge of an ever increasing demand for...
This paper proposes a novel algorithm to detect the particle size distribution of ores with irregula...