Development of Metallurgical Testing Methodologies to Assess Sensor Based Sorting

Sensor Based Sorting is a relatively new technology for the mining industry. The ability to use sensor to classify particles or bulk materials ahead of expensive downstream grinding and separation has many benefits including reduced energy and water usage, reduced operating costs and improved metal recoveries. Testing to assess sorting for a mineral deposit is normally conducted by the technology companies and there are no standard approaches to conducting such studies. The proposed study builds off of more than 20 years of research
experience to advance sensor based sorting. The goal is to develop and validate testing methodologies that can be conducted by third party independent metallurgical companies. The ability to conduct such studies will better inform mining companies of the potential benefits to their operation as well as indicating the best sensor based sorting system for a mine.

Intern: 
Qing Yao
Faculty Supervisor: 
Bern Klein
Province: 
British Columbia
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