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Dive into the research topics where R. Sean Sanders is active.

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Featured researches published by R. Sean Sanders.


Journal of Colloid and Interface Science | 2011

Flocculation kinetics and aggregate structure of kaolinite mixtures in laminar tube flow.

G Farid Vaezi; R. Sean Sanders; Jacob H. Masliyah

Flocculation is commonly used in various solid-liquid separation processes in chemical and mineral industries to separate desired products or to treat waste streams. This paper presents an experimental technique to study flocculation processes in laminar tube flow. This approach allows for more realistic estimation of the shear rate to which an aggregate is exposed, as compared to more complicated shear fields (e.g. stirred tanks). A direct sampling method is used to minimize the effect of sampling on the aggregate structure. A combination of aggregate settling velocity and image analysis was used to quantify the structure of the aggregate. Aggregate size, density, and fractal dimension were found to be the most important aggregate structural parameters. The two methods used to determine aggregate fractal dimension were in good agreement. The effects of advective flow through an aggregates porous structure and transition-regime drag coefficient on the evaluation of aggregate density were considered. The technique was applied to investigate the flocculation kinetics and the evolution of the aggregate structure of kaolin particles with an anionic flocculant under conditions similar to those of oil sands fine tailings. Aggregates were formed using a well controlled two-stage aggregation process. Detailed statistical analysis was performed to investigate the establishment of dynamic equilibrium condition in terms of aggregate size and density evolution. An equilibrium steady state condition was obtained within 90 s of the start of flocculation; after which no further change in aggregate structure was observed. Although longer flocculation times inside the shear field could conceivably cause aggregate structure conformation, statistical analysis indicated that this did not occur for the studied conditions. The results show that the technique and experimental conditions employed here produce aggregates having a well-defined, reproducible structure.


Journal of Hydraulic Engineering | 2018

CFD Methodology to Determine the Hydrodynamic Roughness of a Surface with Application to Viscous Oil Coatings

Sayeed Rushd; Ashraful Islam; R. Sean Sanders

AbstractWater-lubricated pipe flow technology is an economic alternative for the long-distance transportation of viscous oils, such as heavy oil and bitumen. In the industrial-scale application of ...


ASME 2013 Fluids Engineering Division Summer Meeting | 2013

Governing Friction Loss Mechanisms and the Importance of Off-Line Characterization Tests in the Pipeline Transport of Dense Coarse-Particle Slurries

Ryan B. Spelay; Seyed A. Hashemi; Randall G. Gillies; Rajesh Hegde; R. Sean Sanders; Daniel G. Gillies

For more than 20 years, the Saskatchewan Research Council’s PipeFlow model has been used by companies across the globe to predict pressure losses and minimum operating velocities (‘deposition velocities’) for the pipeline transport of heterogeneous (settling) slurries. The success of this semi-mechanistic, phenomenological model comes from the fact that the friction loss contributions of the dispersed, coarse particle phase are accounted for in a physically meaningful way. The focus of this study is on the need to make accurate off-line slurry characterization measurements to obtain accurate predictions of slurry flow behavior. The results of a number of slurry pipeline tests conducted under controlled conditions are presented. These results clearly demonstrate that, in addition to accurate measurements of particle size distribution and density, proper characterization of the following parameters is also critical: carrier fluid viscosity, settled bed coarse particle concentration, particle drag coefficient / particle terminal settling velocity, and the coefficient of friction between the particles and the pipe wall.© 2013 ASME


ASME 2012 Fluids Engineering Division Summer Meeting collocated with the ASME 2012 Heat Transfer Summer Conference and the ASME 2012 10th International Conference on Nanochannels, Microchannels, and Minichannels | 2012

Numerical Study of Liquid-Liquid Vertical Dispersed Flows

Kofi Freeman K. Adane; Syed Imran A. Shah; R. Sean Sanders

Numerical simulations of liquid-liquid dispersed flow in a vertical pipe (38mm) have been carried out using the two-fluid approach implemented in a commercial CFD code, ANSYS CFX. A dispersion of oil in water (where water is the continuous phase) was studied. Both fluids were considered as turbulent flows. The k-e model was used for the continuous phase, with the eddy viscosity of the dispersed phase estimated from that of the continuous phase. A comparison of the present numerical results with previous experimental and numerical results in terms of volume fraction, mean velocity and turbulent kinetic energy is discussed. In general, good agreement between the simulation results and experimental measurements was observed.Copyright


ASME 2012 Fluids Engineering Division Summer Meeting collocated with the ASME 2012 Heat Transfer Summer Conference and the ASME 2012 10th International Conference on Nanochannels, Microchannels, and Minichannels | 2012

Modelling Concentrated Slurry Pipeline Flows

Charlene L. Antaya; Kofi Freeman K. Adane; R. Sean Sanders

A numerical investigation of two-phase solid-liquid (slurry) flow in horizontal pipes has been carried out. Simulations of concentrated slurry flows in pipes 0.0515 m and 0.15 m in diameter were performed using the two-fluid approach implemented in the commercial CFD code, ANSYS CFX. Mixtures of monosized and bimodal particle sizes were tested. Several test cases were investigated to predict particle velocity- and concentration-distributions and frictional pressure gradients. The effects of turbulence model selection, dispersed phase wall boundary conditions, and interphase force terms on model performance were evaluated. The selection of turbulence model had a significant impact on the dispersed phase velocity and concentration distributions. Comparison of simulations with benchmark experimental data shows clearly that for the relatively small particle sizes (∼100 microns), poor solids concentration profile predictions are obtained if the turbulent dispersion force is not included. In general, very good agreement between numerical and experimental results was observed.© 2012 ASME


Canadian Journal of Chemical Engineering | 2016

Particle terminal settling velocities in non‐Newtonian viscoplastic fluids

Ameneh S. Arabi; R. Sean Sanders


Flow Measurement and Instrumentation | 2015

The effect of low Reynolds number flows on pitot tube measurements

Ryan B. Spelay; Kofi Freeman Adane; R. Sean Sanders; Robert J. Sumner; Randall G. Gillies


Canadian Journal of Chemical Engineering | 2013

An improved method for applying the lockhart–martinelli correlation to three‐phase gas–liquid–solid horizontal pipeline flows

M.A. Rahman; K. Freeman Adane and; R. Sean Sanders


Canadian Journal of Chemical Engineering | 2016

Solids velocity fluctuations in concentrated slurries

Seyed A. Hashemi; Ryan B. Spelay; Kofi Freeman Adane; R. Sean Sanders


IFAC-PapersOnLine | 2015

Adaptive Soft Sensing and On-line Estimation of the Critical Minimum Velocity with Application to an Oil Sand Primary Separation Vessel∗

Nima Sammaknejad; Biao Huang; R. Sean Sanders; Yu Miao; Fangwei Xu; Aris Espejo

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Ryan B. Spelay

Saskatchewan Research Council

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Randall G. Gillies

Saskatchewan Research Council

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Seyed A. Hashemi

Saskatchewan Research Council

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Kofi Freeman Adane

Saskatchewan Research Council

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