Microstructural Quantitative Analysis of Polymer amended Fluid Fine Tailing’s Using Digital Image Processing Techinques
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Morphological information is extracted from different images using a sequence of image processing techniques, designed by trial and error to produce repeatable information for the studied material, flocculated fluid fine tailings (FFT). The designed image processing method produces binary images defining pore-space and solid particles (solid grains or flocs). The binary images are then analyzed using a software, primarily "Fiji-Image J" for quantitative analysis of the image for tends in pore and particle size distributions. The samples that were imaged were obtained from amended FFT dewatering experiments, comprising many replicates of 0.10 m high columns that were sampled over months. The tailings were dosed with a high molecular anionic polymer at two doses (600 and 800 ppm polymer per dry tailings). Columns either had one way or two-way drainage. The most dramatic observation was the increase in floc size over 48 hours using optical microscopy.
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Copyright © 2018 the author(s). Theses may be used for non-commercial research, educational, or related academic purposes only. Such uses include personal study, research, scholarship, and teaching. Theses may only be shared by linking to Carleton University Institutional Repository and no part may be used without proper attribution to the author. No part may be used for commercial purposes directly or indirectly via a for-profit platform; no adaptation or derivative works are permitted without consent from the copyright owner.
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- 2018
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khattak-microstructuralquantitativeanalysisofpolymer.pdf | 2023-05-05 | Public | Download |