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Graduate Student Supervision
Doctoral Student Supervision
Dissertations completed in 2010 or later are listed below. Please note that there is a 6-12 month delay to add the latest dissertations.
A multi-agent decentralized system for prediction of course-outs for autonomous trucks (2026)
The expansion of the Autonomous Haulage System (AHS) for large-scale trucks in remote areas remains limited by fixed rule closed systems. The lack of capacity to learn from collective data challenges the predictability of operational events in dynamic scenarios, such as slippage events during winter conditions. Techniques such as Machine Learning and ANN face difficulties due to environmental variability and data heterogeneity, reducing their reliability for predicting these events.This doctoral research develops a comprehensive model divided into three approaches capable of describing and predicting slippage events for Autonomous Haulage Trucks operating under winter conditions. The first evaluates a basic swarm intelligence and machine learning combo, ensuring feature importance and accuracy. Subsequently, two more complex approaches are proposed, involving the development of two fitness functions within a swarm intelligence framework. These fitness functions are designed to be minimized by balancing performance with consistency challenges, while also addressing data heterogeneity. The model seeks to minimize the error associated with these fitness functions by employing various capabilities, including swarm intelligence combined with machine learning, ANN, and federated learning. Additionally, the model incorporates solutions for issues related to parameter weighting during the final aggregation of locally trained models in federated learning, as well as identifying the most appropriate datasets for different groups of trucks. The proposed approaches will be compared against traditional methods of Machine Learning, Artificial Neural Network, and Explainable Artificial Intelligence techniques such as LIME, and SHAP. The evaluation of the approaches will focus not only on their predictive abilities but also on their usefulness in feature importance, aiding interpretability and understanding of course-out occurrences for autonomous trucks during winter conditions. The predictive abilities will be validated using real data collected from a large-scale autonomous fleet operating in extreme winter conditions in Canada, covering operational and environmental data gathered over winter seasons to support algorithm development and validation. The results demonstrate a strong ability to predict truck slippages with proposed methods and identify key variables affecting autonomous truck course-out events. This highlights the value of applying the proposed models to operational data to improve autonomous truck performance during severe winter conditions.
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Development of numerical toolsets for the democratization of Radioactive Particle Tracking technology (2026)
The full abstract for this thesis is available in the body of the thesis, and will be available when the embargo expires.
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Development of a coupled MP-PIC-VOF model for simulation of polydisperse dense slurry flows in inclined channels: particle-laden free-surface flow modelling within the Eulerian-Lagrangian framework (2024)
This research focuses on developing and validating a numerical model for dense particulate flow systems that consist of solid, liquid, and gas phases. The objective is to achieve a comprehensive understanding of the interplay between these phases, enhancing the accuracy and predictability of the model in simulating complex multiphase dynamics. The initial phase involves exploring the Multiphase Particle In Cell (MP-PIC) method, specifically for gas-solid systems like fluidized beds, and validating the model against NETL's SSCP-I fluidized bed data. The evaluation of liquid-gas-solid systems begins with the CFD-DEM-VOF model, known for its accuracy in particle dynamics and similar fluid coupling strategy to MP-PIC. This model is rigorously tested across various scenarios, predominantly in bulk particle water entry applications. Following this, similar validation procedures are applied to the MP-PIC-VOF model. A key advancement in these phases is the development of a tailored trilinear interpolation technique for unstructured hexahedral meshes, first implemented in the CFD-DEM-VOF model to enhance fluid-particle interaction accuracy. This technique is then successfully integrated into the MP-PIC-VOF model, that is also used in inter-particle stress gradient calculation. The consistent results across both models and their alignment with experimental data demonstrate the model development's effectiveness in simulating dense particle-laden free-surface flows.The research ultimately explores the challenges posed by flows with varied particle sizes and two distinct densities, termed polydisperse bi-density particle-laden free-surface flows. Such flows, especially with parts designed for particle retention (i.e. riffles), present unique challenges. To grasp these dynamics, both experimental studies and numerical simulations were employed, with a focus on particle segregation based on size and density. Gravitational and fluid-induced forces play roles in these segregations, particularly within riffles that tend to retain denser particles more effectively. The study integrates the latest development in MP-PIC, incorporating the Blended Acceleration Model (BAM) to improve predictions related to particle segregation. The model's applicability has been rigorously tested through comparisons with experimental data obtained from multiple different scenarious, especially observing interactions of denser and lighter particles in riffle settings. The validation study demonstrates reliable prediction of material retention, distribution profiles, and rejection patterns for both denser and lighter particles.
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Fully coupled CFD-VOF-DEM approach for three-phase jet flow (2024)
This work presents a coupled Computational Fluid Dynamics - Volume of Fluid - Discrete Element Method (CFD-VOF-DEM) framework for turbulent, particle-laden jet flows with a free surface, focusing on flow dynamics relevant to High-Pressure Slurry Ablation (HPSA™) unit. The overarching objective of this study is to develop and ensure the accuracy of the CFD-VOF-DEM model and then use this model in an industrial application to test and develop an optimization protocol.Validation of the CFD-VOF-DEM numerical method for jet flow is performed using high-speed imaging feature tracking and jet spread. Experimental tests using high-speed imaging are performed for particle-laden jets with a free surface within an exit Reynolds number of 135,000-166,000. Numerical simulations are performed with the developed CFD-VOF-DEM solver with an exit Reynolds number of 150,000, a Stokes number of 29.14, and a solids mass fraction of 0.15. The numerical simulations employ the developed CFD-VOF-DEM solver, incorporating an exit Reynolds number of 150,000, a Stokes number of 29.14, and a solids mass fraction of 0.15. Thorough validation is performed to confirm that the simulations accurately replicate the experimental observations of negligible spread, as determined through particle image statistics, and the measurement of jet surface velocity using a feature tracking algorithm in the high-speed imaging experiments. Along with this, the more intricate behavior of the complicated coupling problem is validated by using the extensive available data on two-phase jets with an analysis and issues solved for turbulence modeling in the context of submerged jets.The developed model is then used to focus on the process efficiency of the HPSA™ unit. Specifically, simulations are performed to investigate the effect of the nozzle-to-nozzle distance and nozzle angle on particle collision frequency and particle breakage efficiency in the impingement zone considering generic soft ore. This research offers an approach to greatly improve the design and increase the efficiency of this unique mineral processing unit by demonstrating the machine’s potential for selective ore size reduction, based on particle size and material properties. It also identifies and addresses some of the pitfalls of using a numerical model in an industrial context.
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Master's Student Supervision
Theses completed in 2010 or later are listed below. Please note that there is a 6-12 month delay to add the latest theses.
Evaluating tailings flowability in thickeners via open-channel tests and automated slump testing (2026)
Thickening is a pivotal process in the mining industry, representing a cost-effective technology for water recovery from tailings streams. Enhanced thickener performance results in substantial energy savings and augments water recovery proximal to the milling site. The rheological properties of slurry at the raking zone significantly influence thickener performance. The dynamics of high-density slurries at the thickener's bottom floor are crucial to thickener operation and the tailing transport system. Furthermore, the flowability of highly viscous material is paramount for pumping the thickener underflow. An open channel was developed for non-Newtonian tailing samples to comprehend the behaviour of dense slurry along the path to a thickener floor.This study presents an experimental investigation of gravity driven flow in a custom open channel flume designed to replicate the sliding zone of industrial thickeners. Three tailings materials from copper and gold operations were characterised using particle size analysis, vane rheometry, and automated mini slump testing. Open channel tests conducted over controlled slopes and rheological conditions yielded measurements of sliding velocity and deposited bed depth. Across all tests, the three tailings showed differences in their movement in the channel. Copper Tailings (CT-02) consistently flowed the fastest, while Copper Tailings (CT-01) remained in the middle range. Gold Tailings (GT-01), which had the highest solids content and finest particle network, moved more slowly and left noticeably thicker beds along the flume. These differences reflect how yield stress and particle size influence both the surface flow and the material that remains deposited after each run.By comparing the vane measured yield stress with the apparent yield stress from cylindrical slump tests, the study also evaluates the limitations of each method for characterising dense tailings. While both approaches are consistent at moderate yield stresses, divergence at higher concentrations underscores the importance of selecting measurement techniques appropriate to the material’s rheological range. The results give practical, measured evidence of how high-yield-stress tailings slide and deposit in an inclined channel, which helps explain the behaviour observed on thickener floors.
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Application of selective-flocculation flotation on a high clay, ultrafine stream (2022)
The application of insoluble mineral flocculation-flotation on an ultrafine, high insoluble mineral (insol) content stream utilizing flotation column technology was evaluated as an alternate method to dissolution in separating insoluble minerals from residual salts in fine potash tailings. This study was a novel application of insoluble flocculation-flotation due to the high insol composition, the ultrafine particle size distribution, and the use of column flotation technology, which has yet to be implemented in a slimes flotation duty on an industrial scale. The feed insol content was 5-25 times higher than typical slimes flotation applications with a P80 of 30 µm compared to 3350 µm.A twelve-inch diameter by five-meter-tall pilot column with an external cavitation sparging system was installed in the plant to trial slimes flotation of an ultrafine, high clay stream with an ethoxylated amine collector. The column operating parameters were optimized, and a statistical approach was taken to evaluate the flotation response and determine the flotation column sizing parameters. The results conclude that collector-less insol flotation utilizing column technology from a high clay, ultrafine stream was successful, with a modeled optimum of 88.2% insol rejection and 86.7% KCl recovery; however, the patented method of flocculation-flotation is invalid in this application, due to the observed destruction of flocs in the flotation pulp arising from the power intensity of the column external sparging system and the significant column residence time. Direct comparison of the pilot separation efficiencies with a more power-intensive flotation machine revealed that the selectivity performance of the column was equipment limited. Complete liberation of the insoluble minerals, a fundamental characteristic of the ultrafine stream, resulted in near-ideal separation efficiencies from sylvite at high insol rejection rates when sufficient power intensity was provided; however, individual insol mineral flotation was found to be unselective. Column flotation of the ultrafine high clay stream was characterized by a low carrying capacity of 0.9 t/h/m2 and a long residence time of 17 minutes. Sparger energy intensity, collector addition, pulp density, feed composition, and brine temperature were found to be statistically significant predictors of insol rejection (R2 = 80.47%).
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A cfd-dem approach to study the hydrodynamics of solid-liquid mixing in vertical stirred mills using dynamic mesh (2021)
In mineral processing industries, stirred media mills are known for achieving smaller particlesize and better energy intensity in comminution. The mill consists of a rotating shaft drivingdiscs, pins, or skews known as a stirrer powered by a motor coupled outside the mill chamber.The rotating shaft transmits the kinetic energy to the grinding media.Every mineral has its distinctive physical properties, making it hard to create general standards to cover all materials that the stirred media mills might process. Therefore, to addressspecific applications, different stirred media mills were built with varying stirrer designs. Themill’s performance improvements are complicated, which are related to grinding and energy efficiency, because of the lack of flow profiles inside the system, which vary based on the stirrershapes. The lack of flow profiles is due to the high-density slurry media flow, which complicates the enhancement of stirred mills performance. However, it is necessary to increase thecomminution efficiency in stirred media mills to reduce its power consumption.To overcome these flow monitoring issues, the grinding mechanisms, and fluid-particles flowmixtures for a better understanding, numerical models are commonly used in smaller particlesizes. In this study, slurry and grinding media suspension behaviour are captured using a multi-phase computational model. Media particle collisions with each other and walls are solvednumerically using Discrete Element Method (DEM), while single-phase slurry flow is simulatedusing Computational Fluid Dynamics (CFD) and the combined effects are established throughcoupling these numerical methods. Media particles’ grinding efficiency is estimated using stressintensity generated by particle collision. This study focuses on developing and validating a high-performance multi-scale numerical model to simulate agitated stirred mills filled with granularmedia and slurry. Also, the effects of operating and design parameters on the hydrodynamicsof the system and particle breakage is considered for efficiency optimization. The proposedhigh-fidelity CFD-DEM numerical approach with dynamic meshing helps to understand thefluid-particle flow behaviour inside the mill and optimize the design parameters for performanceimprovements of VXPmills, which leads to the evolution of a new design with enhanced grindingefficiency with less torque.
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Assessing efficiency of macro particle classification using tilted structured pillar arrays (2021)
The biomedical and pharmaceutical industries have explored the use of pillar arrays for microparticle separation of cancer cells, blood cells, and droplets extensively. Over the recent years, other sectors such as the powder industry are beginning to apply devices with structured pillar arrays for particle classification due to their small footprint, passive nature, and ability to achieve multiple cut points within a single device. This thesis investigates if the structured pillar arrays can have utility for the size-based classification of macro-and mesoscale spherical glass beads and crushed ore particles. Multiple pillar array designs are evaluated in this work on a small bench-scale apparatus that allows manipulation of the array tilt angle, which is a parameter used to control the separation cut point. The experiments with target samples are conducted individually, first considering monosized glass beads and then crushed ore samples over the particle size range between 2000 and 8000 microns. The scope of this research work is constrained by the size of the structured pillar array used in this study, which is designed for coarse particle classification (>500 microns and 8 millimetres). Separation is a dry process, driven only by gravity, where the separation efficiency depends on particle-particle and particle-pillar interactions. In the current application, particle-wall interactions also play a crucial role due to the relatively small size of the separation device. Separated particles are collected from the device outlets (five distinct bins), and further quantitative analysis is done by calculating the particle recovery in each bin. Further research is carried out to determine device separation efficiency by using the partition modelling approach for the fractions of particles that underwent separation and select the most effective array design (D1, D2, D3) and tilt angle (25.6°, 30.6°, 35.6°) for the range of particle sizes considered. The experiment results showed that as the tilt angle is manipulated in an increasing order, particle separation efficiency improves with D1 and D2 but not D3. The partition model used in this research determined that the tilt angle and array design with the best separation efficiency for particles is D1 at 35.6°.
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Dense particle concentration using thin channel flow with riffles (2021)
As supplies of valuable minerals become scarcer and demand increases, the mining industry must develop more efficient and effective methods to recover these minerals from ore. Various gravity separation methods are extensively used in the industry for concentration of gold, platinum group metals (PGMs), mineral sands, chromite, tin, tantalum, tungsten, iron ore, cobalt and many other metals and minerals with sufficient differences in density. The Falcon enhanced gravity separator is one example of a semi-batch enhanced gravity separation device that uses centrifugal force to enable liberated precious metal recovery within grinding circuits and from placer deposits. During run cycle, concentrator accepts feed continuously, heavy particles are retained in the riffled section of the unit’s bowl, and concentrate is produced during periodic rinse cycles by water jets. Limited research has attempted to understand particle behaviour in the riffled section of the Falcon enhanced gravity separator, and little is known about the effect of design and operating parameters on the unit’s concentration efficiency. This thesis focuses on studying particle behaviour in the riffled section of the Falcon gravity separator’s bowl to recover the highest fraction of heavy particles. An open thin channel setup was built to emulate a cross-section of Falcon gravity separator’s riffled section. Testing was conducted on the effects of riffle designs, inclination angles, and flow rates on particle behaviour. This study shows the need and value of improving the gravity separators' bowl geometry, which would significantly benefit heavy retention capabilities of this equipment.Two experimental setups using a centrifugal pump and a peristaltic pump were developed to test 9 riffle designs over 4 flow rates and 3 inclination angles resulting in 99 distinct experimental cases. Semi-elliptical designs coupled with lower inclination angles and flow rates lead to higher heavy particle retention in riffles. This considerably improved particle recovery rates of the system possibly due to its ability to expel light particles from the riffles while pushing the heavy particles downward.Observations of particle behaviour in this study can serve as a foundation for study on Falcon enhanced gravity separator and any gravity separation devices using engineered riffles.
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Optimization of design and operation parameters of vertical stirred mill using DEM approach (2021)
Fine ore grinding is a relatively new technology in the industry, generally operated in stirred media mills filled with grinding media and a mixture of water and ore particles known as slurry. Stirred mills have been increasingly used in ultra-fine grinding circuits. However, there is limited understanding of the influence of many process and design parameters on the mill’s performance. To gain more knowledge about those parameters, this study focuses on the development and validation of DEM numerical models, which are then used to evaluate the design of FLSmidth's VXPmill and identify its critical process parameters. Laboratory experiments and material parameters calibration tests were conducted on a pilot-scale 10 liters mill to validate the numerical model and provide more insight into the mill operation, mixing pattern, and power consumption. This thesis focuses on the analysis and optimization of the key operating and design parameters and investigates their effects on the kinetic energy, collision efficiency, abrasive wear rate, and momentum transfer rate to the media inside the vertical stirred mill. A Lagrangian numerical model based on the discrete element method (DEM) is developed and used to gain a fundamental understanding of the dynamic behavior of grinding media in the mill. Specifically, the distribution of stress intensity levels inside the mill for different grinding media properties, rotational velocities, and mill designs was investigated in depth. Various configurations of a selection of parameters are studied, both design and operational. Operation parameters such as stirrer speed, media load, size, and density are examined individually and concurrently. The general trend of the results shows an increase in kinetic and collision energies as the input variables are increased, while also an increase in power consumption and liner wear is observed. A design of experiment study considered gradual improvements to the original design of the VXP10 mill rotor. The study examined variations in the disc geometry, spacing, and hole size and number. The design parameter study considered introducing vertical impellers to improve the momentum transfer to the media particles. The results from this design of experiments allowed the development of various alternative rotor designs to the VXP10.
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Exploring high pressure slurry ablation as a mineral processing tecnology (2020)
In order to achieve economic operation and enable efficient separation of valuable components, most mineral processing facilities require comminution technologies. These machines liberate valuable minerals from the associated gangue by reducing the size of individual particles, or, in some operations, by removing loosely adhered particles from the hard mineral matrix. Due to the stochastic nature of particle-particle and particle-wall collisions, as well as the intrinsic inefficiencies associated with the low fraction of energy spent on particle breakage, these technologies require enormous amounts of energy to function and, therefore, research into the development and implementation of more efficient technologies is continuously ongoing.This study assesses the performance of high pressure slurry ablation, a new size reduction, particle liberation, and slurry conditioning technology, against current industry standards. Various materials were tested with the equipment, and product samples were collected and analyzed for size distribution and size-based assaying. Where applicable, separation technologies such as gravity separation and froth flotation were used to provide further insights into the amenability of HPSA products to beneficiation. The results were then compared to the expected outcomes of typical grinding and scrubbing-attrition technologies.The results concluded that the technology can achieve size reduction for all considered materials, can selectively liberate soft and loosely attached materials into a fraction of the original mass, and can provided elevated gravity separation recoveries in precious metals applications. However, due to the mechanical components of the pilot-scale unit used in this study limiting the percentage of solids that the unit could handle, the observed unit efficiencies are found to be lower than those of conventional size reduction units. By upgrading the pumps associated with the testing rig these limitations could be eliminated, thus, identifying areas for future work.
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Process optimization of jet mills for metallurgical powder production (2019)
The jet mill operates on the principle of collisions between particles to grind ultrafine powder material without the introduction of heat or any other external force and is capable of particle size reduction from about 100 microns down to 250 nm. The optimization process depends on parameters such as feed rate, grinding air pressure, physical characteristics of the solids (density, hardness, abrasiveness, or tenacity), physical characteristics of the mill shell liner, as well as feed and product particle size distribution (PSD).This research studied the optimization of the jet mill grinding process of ultrafine metallurgical powders in a small-scale 4” jet mill. The research was aimed to understand the effects of feed rate, compartment pressure, and feed particle size distribution on overall mill efficiency and iron entrainment using a stainless-steel shell. In addition, the effect of a polymer-based shell coating on milling efficiency, shell abrasion rate, and iron contamination reduction was assessed. The main variables affecting grinding such as feed rate, grinding air pressure, and feed size were investigated. Optimal operating conditions for running the lab scale jet mill are at the pressure range of 70 to 80 psi, with a feed rate of 3 to 5 kg/hr. At high grinding air pressures, the jet mill produces a small particle size, but high pressure requires more gaseous fluid which makes the process less efficient by consuming more energy.It is concluded that density and hardness seem to have a significant effect on the product fineness. Hard materials such as TaC, WC, and WTiTaC resulted in a finer product size than soft materials like TiC. High grinding air pressure has a greater effect on harder materials than on softer materials in achieving the fine product size. It is understood that jet milling can be more effective than ball milling if the optimum parameters are followed, as recommended in the study; such as feed rate, pressure, feed size, and the liner used in producing the metallurgical powders TiC, TaC, WC, or a combination of any of these.
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Publications
- An instance mask representation for bubble size distribution in two-phase bubble flotation column based on deep learning model (2025)
Flow Measurement and Instrumentation, 104 - Simulation and analysis of bulk particle water entry dynamics using MP-PIC-VOF: A new volume-conservative model (2025)
Particuology, 107, 113-133 - Analysis of particle dispersion and cavity formation during bulk particle water entry using fully coupled CFD-DEM-VOF approach (2024)
Particuology, 90, 558-580 - CFD-DEM validation and simulation of gas–liquid–solid three phase high-speed jet flow (2024)
Chemical Engineering Research and Design, 201, 561-578 - High-Pressure Slurry Ablation (HPSA)—An Innovative Liberation Technology for Improvement of Grade and Recovery in Mineral Processing (2024)
Impc 2024 31st Impc International Mineral Processing Congress, 196-211 - Process intensification of metal solvent extraction studies using a miniaturized solvent extraction plant (2024)
Chemical Engineering and Processing Process Intensification, 199 - An Analysis of CFD-DEM with Coarse Graining for Turbulent Particle-Laden Jet Flows (2023)
Fluids, 8 (7) - Investigation of particle effects on bubble coalescence in slurry with a chimera MP-PIC and VOF coupled method (2023)
Chemical Engineering Science, 265 - GIPPE-RPT: Geant4 interface for particle physics experiments applied to Radioactive Particle Tracking (2022)
Applied Radiation and Isotopes, 180 - Transfer learning for radioactive particle tracking (2022)
Chemical Engineering Science, 248 - A chimera approach for MP-PIC simulations of dense particulate flows using large parcel size relative to the computational cell size (2021)
Chemical Engineering Journal Advances, 5 - A new method for calibration of radioactive particle tracking systems using computational fluid dynamics and Monte Carlo simulation data (2021)
Cfb 2021 Proceedings of the 13th International Conference on Fluidized Bed Technology, 351-356 - A study of RANS turbulence models in fully turbulent jets: A perspective for CFD-DEM simulations (2021)
Fluids, 6 (8) - Review of peridynamic modelling of material failure and damage due to impact (2021)
International Journal of Impact Engineering, 147 - Analysis of coupled CFD-DEM simulations in dense particle-laden turbulent jet flow (2020)
American Society of Mechanical Engineers Fluids Engineering Division Publication Fedsm, 2 - VortexFitting: A post-processing fluid mechanics tool for vortex identification (2020)
Softwarex, 12 - CFD simulation of single-phase flow in flotation cells: Effect of impeller blade shape, clearance, and Reynolds number (2019)
International Journal of Mining Science and Technology, 29 (5), 657-669 - The effect of particle size on coal flotation kinetics: A review (2018)
Physicochemical Problems of Mineral Processing, 54 (4), 1172-1190 - A high-order moment-conserving method of classes (HMMC) based population balance model for mechanical flotation cells (2017)
Minerals Engineering, 108, 36-52 - Investigation of gas dispersion characteristics in stirred tank and flotation cell using a corrected CFD-PBM quadrature-based moment method approach (2016)
Minerals Engineering, 95, 161-184 - Numerical and experimental investigation of single phase flow characteristics in stirred tanks using Rushton turbine and flotation impeller (2015)
Minerals Engineering, 83, 156-167 - Numerical simulation of fluid flow in deterministic lateral displacement devices (2013)
American Society of Mechanical Engineers Fluids Engineering Division Publication Fedsm, 2 - Numerical study of single phase liquid mixing in stirred tanks fitted with Rushton Turbine and standard flotation impeller (2013)
ASME International Mechanical Engineering Congress and Exposition Proceedings Imece, 7 A - Comparison of two bubble sizing methods for performance evaluation of mechanical flotation cells (2012)
Separation Technologies for Minerals Coal and Earth Resources, 563-574
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