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Permanent link (DOI): https://doi.org/10.7939/R3X93G

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Assessment of hyperspectral features and damage modeling in bitumen flotation process Open Access

Descriptions

Other title
Subject/Keyword
Wear
Flotation process
Damage modeling
Bitumen
Hyperspectral analysis
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Bhushan, Vivek
Supervisor and department
Dr. M.G.Lipsett (Mechanical Engineering)
Examining committee member and department
Dr. Benoit Rivard (Earth and Atmospheric Sciences)
Dr. David Nobes ( Mechanical Engineering)
Department
Mechanical Engineering
Specialization

Date accepted
2011-04-15T16:39:26Z
Graduation date
2011-06
Degree
Master of Science
Degree level
Master's
Abstract
Flotation process is mineral processing technique used for separating valuable minerals from the gangue. The research presented in this thesis deals with assessing features that can help in measuring the performance (observing) bitumen flotation process and modeling damage in flotation units. A timely measure of oilsands and process stream contents can be used to observe and control the separation performance. To this end, flotation experiments were conducted and hyperspectral images of the ore and the process stream were taken to determine whether spectral information can predict the bitumen and fines content of ore samples and establish relationship a between these variables and the froth colour. Several features that appear to correspond to clay and quartz were present. Flotation cells are prone to wear damage by particles entrained in the slurry. A wear damage model was developed to predict the damage accumulated over a period of time. Particle image velocimetry experiments were conducted on physical flotation model to understand the flow behavior of the solid particles near the wall of the flotation unit. A preliminary wear test was conducted for qualitative assessment of wear. Recommendations were made for validating the damage model.
Language
English
DOI
doi:10.7939/R3X93G
Rights
License granted by Vivek Bhushan (bhushan@ualberta.ca) on 2011-04-15T02:10:47Z (GMT): Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of the above terms. The author reserves all other publication and other rights in association with the copyright in the thesis, and except as herein provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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