2017
DOI: 10.1007/s00397-017-1015-2
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Rheology for deposition control of polymer-amended oil sands tailings

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Cited by 19 publications
(36 citation statements)
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“…More importantly, the flocculated MFT experiences shearing as well when it is pumped and transported by pipeline and discharged to the deposition site (Ren et al, 2014). Consequently, it is suggested that the flume test may be more appropriate than the vane test for flocculated MFT as the yield stress from a flume test may be more characteristic of the behaviour during surface deposition considering the similarity between a flume test and field deposition, as reported by Mizani et al ( , 2014.…”
Section: Comparison Between Laboratory Flume Test and Mini-slump Testmentioning
confidence: 87%
“…More importantly, the flocculated MFT experiences shearing as well when it is pumped and transported by pipeline and discharged to the deposition site (Ren et al, 2014). Consequently, it is suggested that the flume test may be more appropriate than the vane test for flocculated MFT as the yield stress from a flume test may be more characteristic of the behaviour during surface deposition considering the similarity between a flume test and field deposition, as reported by Mizani et al ( , 2014.…”
Section: Comparison Between Laboratory Flume Test and Mini-slump Testmentioning
confidence: 87%
“…where the material does not deform under a certain stress threshold (Babaoglu, 2014;Henriquez, 2009). However, more advanced rheological models have proven to be a better fit for a broader range of conditions (Mizani & Simms, 2017). Thixotropic rheology relies on a stress-history dependant structure parameter to dictate the evolution of the material (Hewitt & Blamforth, 2013;Coussot & al., 2002).…”
Section: Discussionmentioning
confidence: 99%
“…Firstly, simulation of experimental data for bench scale studies will be carried out. This includes Newtonian (Cruchaga & al., 2007), Bingham (Gao & Fourie, 2018;Babaoglu, 2014;Henriquez & Simms, 2009), and thixotropic (Mizani, 2017) constitutive models.…”
Section: Objectivesmentioning
confidence: 99%
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