Abstract
The possibility of machine vision application in the field of flotation efficiency evaluation was studied. Algorithm for froth image analysis was developed with aim of obtaining bubble’s size distribution. Algorithm consists of two parts: image processing and object detection. Algorithm’s work was verified on the sulfide flotation froth. As result, mathematical correlations for air flow rate, mean bubble diameter and surface area bubble flux were established.
Highlights
Flotation process is the most complicated in the terms of automatization and maintenance
Each parameter can be defined with high precision as the result of production experiments or with special equipment, but in case of the continuous process this seems impossible without interrupting sub-processes taking place in the flotation cell
From the visual control perspective, the simplest way to analyze the flotation efficiency is to evaluate the froth parameters. This fact is confirmed by the vast amount of works in the past century, that were dedicated to the study of correlation between the froth phase state and the efficiency of the flotation efficiency
Summary
The possibility of machine vision application in the field of flotation efficiency evaluation was studied. Algorithm for froth image analysis was developed with aim of obtaining bubble’s size distribution. Algorithm consists of two parts: image processing and object detection. Algorithm’s work was verified on the sulfide flotation froth. Mathematical correlations for air flow rate, mean bubble diameter and surface area bubble flux were established
Sign-in/Register to view highlights & summary Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
