Nanoporous materials have been the subject of extensive research in recent years. This includes carbon nanotubes (CNTs) or porous graphene sheets used for water desalination or gas separation. Finding more efficient and cheaper methods of separating solutes from a solution can make these separation mechanisms more economically viable and accessible which makes it an important area of research.
Typically, fluid flow is described by the solutions to the Navier-Stokes equations, such as Hagen-Poiseuille flow through cylindrical pipes. However, these first of all do not take interactions between the fluid and the pore wall into account. Secondly, the NS equations are generally solved for incompressible Newtonian fluids which follow a linear stress-strain relation.
During my research I aim to find a description of fluid flow through nanochannels based on the continuum approach which nevertheless incorporates small-scale effects and can be generalised for different types of fluids. The following step is to look into solute rejection mechanisms, which factors contribute to them on a molecular level and finding a coherent description of such processes.
HOLD-UP IN HORIZONTAL AND INCLINED OIL-WATER FLOWS
Mixtures of oil and water are commonly encountered in oil transportation pipelines, especially for subsea developments. The extracted fluids from a well are processed in offshore platforms which have a limited processing capability. This limitation means that fluids are not fully separated and a residual water content is typically carried through export oil pipelines. For high oil flow rates, water is transported along the pipe as droplets in the oil phase. As the oil flow rate decreases, the water droplets coalesce to form slugs in the oil phase in which the water volume is unknown. This behaviour has not been widely studied for horizontal and slightly inclined pipes having small water fractions (i.e. <5%).
Experimental and theoretical investigations are being carried out to study the transition from stratified to non-stratified flow in oil-water mixtures at pipe inclinations between ±5°. The work is focused on the determination of the in-situ water fraction as a function of phase velocity, pipe inclination and inlet configurations. A number of measurement techniques are being used to characterise the flow, namely, Planar Laser Induced Fluorescence (PLIF), Particle Image Velocimetry (PIV) and pressure drop measurements. These techniques provide detailed information of the flow such as phase distribution, velocity vectors, velocity profiles, flow patterns, and turbulent measurements. This information will be used to develop a mechanistic model to predict the in-situ water fraction and the transition between stratified to non-stratified flows.
I research on the impact of droplets on a flowing liquid film. This experimental work allows me to study the various possible outcomes viz. bouncing, partial and total coalescence to splashing using high-speed imaging system. The effects of change of liquid, density ratios, viscosity of liquid and presence of surfactant on the overall process are studied as well. I also view the different wave-forms obtained on this flowing film, studying their evolution, propagation and eventual formation of coherent structures. The influence of these waves on the outcomes is monitored and the corresponding effects on the waves as well. Waves are allowed to form naturally and also induced artificially by externally imposing a specific frequency of vibration. Results obtained will be validated using numerical simulations with codes like BLUE and FLUIDITY.
My research focuses on developing fast, inexpensive and scalable approaches for surface patterning and microfabrication. Specifically, I study the mechanism of wrinkling as a way to impress regular patterns on polymers. Wrinkled surfaces can be applied for a wide range of applications including drag reduction, increased surface hydrophobicity, and photonics. We have successfully managed to obtain sinusoidal wrinkles with wavelength of 100 nm on plasma oxidised polydimethylsiloxane. Regarding microfabrication, I investigate the manifacturing of microfluidic devices using photolithographic techniques.
Mixing horizontal stratified liquid-liquid pipeline flows using transverse jets.
Researching the interaction of transverse jets with horizontal stratified pipeline flows. Monitoring the jet breakup and the evolution of the resulting dispersions through using PLIF, PIV, PTV laser based techniques. Experimental data is compared with CFD models to study the ability of the models to capture the important details in these complex flows.
Dynamics of Thin Liquid Film over a Spinning Disk
The flow of thin liquid films subjected to centrifugal forces is accompanied by the formation of large-amplitude waves which gives rise to intense mixing on the surface of the disk and considerable increase in heat and mass transfer, commonly referred as “process intensification”. Therefore, such flows have wide industrial applications, ranging from liquid atomisation to manufacturing of pharmaceuticals and fine chemicals.
We develop a mathematical model studying the hydrodynamics, mass and heat transfer and chemical reaction with regards to a thin liquid film flowing over a spinning disk. We apply the thin-layer approximation in conjunction with the Karman–Polhausen method to derive axisymmetric and non-axisymmetric evolution equations for the film thickness and the volumetric flow rates in both the radial and azimuthal directions satisfying boundary conditions and equation of state. We also use the integral method to derive evolution equations for the interfacial profiles as well as the spatio-temporal distributions of the reagent and product concentration surface assuming parabolic profile for velocity and concentration. Numerical solutions of these non-linear partial differential equations, which govern the hydrodynamics and the associated mass and heat transfer, reveal the existence and formation of large-amplitude waves and elucidate their substantial effect on the characteristics of mass and heat transfer and chemical reaction.
Additionally, we investigate 3D CFD (3 Dimensional Computational Fluid Dynamics) simulations of structure of the flow over the entire disk and the associated heat, mass transfer and chemical reaction using FLUENT and conduct relevant experiments in order to validate our model by comparing with the theoretical results obtained from the numerical methods.
Numerical Simulations of Gas-Liquid Flows in Large-Diameter Risers
Different distribution of phases, termed flow regimes, are encountered in gas-liquid flows through vertical pipes. One of these regimes is the ‘slug flow’. It occurs over a wide range of flow conditions and is characterised by the presence of bullet-shaped bubbles, known as Taylor bubbles, with diameter of about the same size as the pipe (Figure 1). For flows in sufficiently large diameter pipes (), this flow regime is not observed. My research seeks to numerically simulate gas-liquid flows in vertical ‘large-diameter’ pipes. A particular objective would be the investigation of the stability of Taylor bubbles under the flow condition encountered in these pipes. From this, we hope to be able to offer qualitative and quantitative explanations as to the nonexistence of slug flow regime in gas-liquid flows in large diameter risers.
Wax deposition is a phenomenon that plagues crude oilfields with significant economic impact that causes financial losses through the cost of prevention and remediation, reduced or deferred production, pipeline replacements and/or abandonments and equipment failures. A number of wax control technologies are currently being applied in the oilfield which includes mechanical methods for wax removal and thermal management strategies which primarily focuses on remediation rather than prevention. Chemical injection technology is a preventive, cost-effective alternative to combat wax deposition. The wax control chemicals currently in the market however are found not to be effective in preventing wax crystallization especially for crudes with high WAT and pour point temperatures. Therefore, there is a need to develop fundamental understanding of the wax crystallization mechanism at the molecular level and to develop a good and effective wax control chemical to suppress wax crystallization to the lowest possible temperature.
The aim of this study is to develop a framework of approaching the wax control chemical development in a systematic way. This will be done through a three-pronged approach: computer-aided molecular design; chemical synthesis and testing; embedding the molecular-scale chemistry into a continuum-scale model for simulations at the macro-scale. Coarse-grained molecular dynamics (MD) and the computational fluid dynamics (CFD) continuum-level simulation will be used to guide the synthesis of a new chemical, which will be tested against chemical systems from the oilfields. The MD-synthesis-testing steps will be iterative, culminating in the development of an effective wax inhibitor. Information from the MD step will be passed to the continuum-level modeling step for the development of simulation tools of wax formation/inhibition in flow processes, which is my main focus area.
The primary objective of my work is to obtain a fundamental understanding of the mechanism underlying the solid deposition within the oil and gas production system, and how chemical additives behave to inhibit the process. My research includes both computational approach of simulation and experimental procedure that are strongly linked to provide a comprehensive description of how the solid deposits are formed and in what way it can be suppressed. Molecular dynamics simulations of coarse-grained models based on the SAFT force-field is used to look into the formation of the solid deposits at molecular level as well as to study the phase behaviour and thermodynamic properties of the governing components of the targeted system. The experimental part of my work investigates how chemical additives work to prevent the formation of the deposits. Chemical of interest are synthesised, analysed and evaluated for its effectiveness in inhibiting the solid deposition. The chemical will then be modelled and incorporated into the molecular dynamics simulation to study the effect on precipitation boundary.
I am involved in the development of accurate, reliable, and efficient models for the direct simulation of the pattern formation associated with the drying of blood droplets (see Figure 1) whose complex stain morphologies are influenced by the original blood composition. The models will be formulated from the three-dimensional (3D) equations of mass, momentum and energy conservation, complemented by a 3D advective-diffusion equations for the concentrations of all species present within the drop. To simulate naturally crack-formation during drop drying, we will use a first-principles approach and couple the 3D fluid mechanical, and particle transport problem, to a mean-field, 3D solid mechanics problem by taking the densely-packed particles to be deformable Hertzian spheres; the latter are compressed by capillary pressure gradients due to non-uniform evaporation. These problems will, in turn, be coupled to Darcy flow in the interstices of the porous solid. A steady diffusion equation will be solved for the quasi-static vapour concentration to furnish the evaporative flux, and the energy equation will also be solved in the solid wall underlying the drop.
A hierarchy of models will be generated reflecting the increasing level of complexity. The models will account for all the relevant physical processes: evaporation, capillarity, Marangoni flow, diffusion, solidification/crystallisation, adsorption and changes of substrate wettability, contact line motion, sol-gel transition, and crack-formation. Thus, we will develop a simulation capability for the deposition morphology as a function of composition changes of the drying blood drops. This research will have application in the development of devices for rapid medical diagnosis.
This work will be carried out in collaboration with the group of Professor Khellil Sefiane (University of Edinburgh) who has world-leading expertise in evaporating, particle-laden drops, and with the group of Professor Rhodri Williams (University of Swansea) who has expertise in haemorheology.
Lee Rui Yan
The main objective of my work is to design and develop an effective fine sand consolidation solution to prevent or minimise its migration to the topside which will subsequently prevent equipment damage due to erosion or deposition of fines that may lead to production losses and deferment. My work is primarily experimental focusing on various physical and chemical methods to modify the surface properties of the particulate matter present within the formation to ensure that they conform to a state where they remain consolidated within the formation without causing any detrimental effects to the permeability of the reservoir. Experimental data from my work will be directly applied into the development of a comprehensive computational fluid dynamics model which will be capable of predicting the behavior of the fines within the formation and allow for optimization work to be carried out on the treatment of the formation.
Sand production is an inevitable challenge causing the oil and gas industry billions of dollars due to production loss, equipment damage and unscheduled shutdowns. A key control measure is by injecting sand control chemical into the formation. Recent development within the subject area focuses on developing chemical treatment which aims to agglomerate sand particles, primarily sand smaller than 50microns to form larger aggregates. The agglomerated particles are expected to maintain their size and strength under varying conditions whereas the chemical treatment should not induce formation damage and impair reservoir permeability.
My research attempts to understand sand particles dynamic behaviour and stability under the influence of agglomerating chemical and hydrocarbon flow, accounting for both agglomerate formation and breakage under varying parameters such as shearing effect, fluid and solid properties, and conditions representative of oil and gas reservoirs. Numerical simulation, Computational Fluid Dynamics (CFD) coupled with Discrete Element Method (DEM) are employed to simulate particle-particle interactions and particle-fluid interactions involved during the agglomeration process. A comparison with experimental data will also be made to assess the validity of the model.
My current research interests are non-intrusive reduced order modelling methods. Reduced order models (ROMs) have become prevalent in many fields of physics as they offer the potential to simulate dynamical systems with substantially increased computation efficiency in comparison to standard techniques. And, in most cases the source code describing the physical system has to be modified in order to generate the reduced order model. These modifications can be complex, especially in legacy codes, or may not be possible if the source code is not available (e.g. in some commercial software). To circumvent these shortcomings, non-intrusive approaches have been introduced into ROMs. The non-intrusive ROM (NIROM) is independent of the original physical system.
Over the past decade, two-dimensional (2D) nanomaterials have received considerable attention in the literature largely due to their truly remarkable properties; these include very high electrical and thermal conductivities, and tensile strength. Due to these properties, 2D nanomaterials are likely to play a central role in the future development of a number of applications that will generate tremendous economic and societal impact, which include opto-electronics, sensors, tissue engineering, drug delivery, and energy conversion and storage. There are a number of 2D materials that exhibit some of the aforementioned properties, the most celebrated one being undoubtedly graphene. The discovery of this material in 2004 by Geim and Novozelov resulted in their winning the Nobel Prize in 2010. In order to realise the potentially transformative effect of nanomaterials on industry, there is a need to overcome the considerable challenge of developing a large-scale, cost-effective and controllable (in terms of numbers of layers) process for their mass-production. This process must produce defect-free materials at rates that far exceed those associated with current methods such as growth and exfoliation.
The method proposed in this project uses a device involving the flow of a thin liquid layer (average thickness ~ 100 mm –1 mm) over a rapidly spinning disc(several hundred RPM). The shear imparted to the film due to the disc rotation leads to the development of large-amplitude, three-dimensional interfacial waves and an intense mixing environment on the surface of the disc. As a result of its process-intensifying properties, this device has previously been used as a spinning disc reactor (SDR) in the pharmaceutical industry as a potential replacement for the batch reactor. In the present project, the focus will be on harnessing the high-shear environment near the surface of the disc to accelerate the exfoliation of nanosheets from the 2D nanomaterial in the film.
I am a Marie Curie Fellow researching novel methods to improve liquid phase exfoliation of two-dimensional (2D) nanomaterials. 2D nanomaterials have demonstrated a range of impressive properties that have led to extensive research into their potential applications. The most frequently studied monolayer material is graphene, and there are many other 2D materials that have also shown promise for addressing societal challenges in sectors such as ICT, biomedicine and energy. Production remains a major challenge, limiting their widespread implementation. My research investigates the role that fluid mechanics has on the nanomaterial characteristics. Shear-driven exfoliation and process intensification is studied using flow over a spinning disc.
Ricardo Constante Amores
Projected funded by BP-ICAM through the CDT on Theory and Simulation of Materials. Many BP applications involve breakup of initially segregated phases into emulsions or the coalescence of a dispersed phase and eventual separation. The project will involve building modelling tools that can predict the final droplet size distribution of a breaking oil-water interface (typically a jet) as it moves downstream of a pipe and potentially a mixing/shearing device, and eventual coalescence of these droplets under gravity.
The spatio-temporal evolution of a jet issuing from a nozzle in a variety of situations will be considered as a representative exemplar flow that exhibits sufficient complexity so as to be practical relevance. Furthermore, experimental and numerically-generated (from simulations) data available from the literature will be used to validate model predictions. Scaling strategies will also be developed to assess the predictive capabilities from lab/pilot scale to industrial-scale applications. Blue and Fluidity are the two codes that the project will rely on. The attached figure shows a numerical simulation using Blue of a water jet forced by a co-flowing annular gas.
Alejandro Ortega Ancel
My PhD project work is focusing on the study of fluid flow over super-hydrophobic surfaces, especially in the transition between air and water. I received my Master's degree in Aerospace Engineering from the University of Southapton in 2011, where he specialised in Spacecraft Engineering. He won the award for best performance in the Masters course. After completing his undergraduate studies he went on to work as a research engineer at Dyson. He then went back to further his knowledge in the space field by completing the International Space Univesity Southern Hemisphere Summer Space Program in Adelaide, Australia. His last endeavour before joining Imperial College was working as a Performance Engineer at Cobham plc, focusing on the aerodynamic design and performance analysis of air-to-air refuelling systems.
Lachlan joins us from completing PhD studies in multi-phase flows at the University of Melbourne, Australia. His research interests include coalescence dynamics, microfluidics, and reactive flows for Antarctic remediation. His work, which will be funded by EPSRC (through the MEMPHIS programme), PETRONAS, and the Royal Academy of Engineering, and its primary focus will be on developing CFD tools for multiphase flow and deposition. The applications of his work will be wax deposition/inhibition and hydrate formation in oil-and-gas pipelines, fouling in heat exchangers and membranes, and cleaning and decontamination applications.
The effect of surfactant on complex interfacial flows: As a part of Transient Multiphase Flow (TMF) Consortium, my research project focuses on a study of the effect of surfactant on interfacial flows. The results that have been obtained from our previous project (the effect of surfactant on flooding phenomenon in vertical, counter-current gas-liquid flows on a large-scale rig) showed a number of important findings around the effect of surfactant on the threshold gas flow rate at which flooding occurs, pressure drop across all flow regimes, complexity of the liquid film topology at different liquid flow rates, entrainment of liquid droplets in the gas, and entrapment of gas bubbles in the liquid. These experiments were conducted in air-water and air-oil systems in the presence of different surfactants. It is now necessary to comprehend the mechanisms underlying the trends and phenomena.
To achieve the project aims, a ‘flexible’ small-scale flow cell will be designed and constructed, and appropriate imaging tools e.g. PIV, LIF, high-speed camera, etc., will be integrated in order to examine system behaviour over a range of parameters, and elucidate mechanisms accounting for inertia, viscosity, capillarity, and the physico-chemical effects arising due to the presence of surfactant. Once the required information is obtained from the small-scale flow cell, further experiments will be conducted on a large-scale rig. There, we will observe the spatio-temporal dynamics that accompany the dynamics associated with parametric changes in the gas and liquid flow rates. The observations made, and, in particular, the effect of surfactant on the transition to flooding and associated phenomena, will be correlated with the small-scale measurements.
I am a research associate working on two different projects that involves the numerical modelling of complex material. The main objective of the first project is to develop a CFD model to simulate the dynamics of lubricating grease in a stirred vessel, taking into account the soap crystallisation, heat transfer and complex rheology. The model will also account for the complex geometries of the stirred tanks and involves simulation of the dynamics at different scales in order to develop reliable, predictive, scale-up rules.
The second project focuses on the CFD modelling of start-up flow of lubricating grease in a circular pipes, and takes into account the heat transfer and complex rheology. The objective is to develop a CFD tool that provides a reliable, predictive, scale-up rules.
I am a research associate working on numerical simulation of multiphase flow in high aspect ratio thin annuli using the control volume finite element method combined with interface capturing and mesh adaptivity techniques. I am also interested in coupling of inertia-dominated flow and porous media flow for predicting hydrocarbon production from reservoir to well systems.
During my secondary and college education, I particularly enjoyed maths and science, being involved in several extra-curricular activities, therefore it was a natural choice to do a Chemical Engineering degree to combine my interests. I did my undergraduate course at Imperial and courses such as Fluid Mechanics appealed to my mathematical background. I was given the opportunity on the Imperial LINK programme to perform my final year research project in conjunction with Shell in Amsterdam, where I worked on optimising and costing hydrogen production for use in fuel cells. After graduating in 2017 I started a PhD working on up-scaling graphene production using fluid dynamics. I have several interests outside academia, particularly sport, being a keen supporter of Arsenal and playing football regularly.
Mohammed graduated with a BEng degree in Biochemical Engineering at University College London (UCL) and was a recipient of a scholarship programme during his undergraduate studies. Mohammed then went on to complete his MSc degree in Advanced Chemical Engineering at Imperial College London, where his novel Computational Fluid Dynamics (CFD) research on multiphase flow, provided an important contribution to the Matar Fluids Group. Mohammed will now continue with us at Imperial College, working on a 3-year industrially funded PhD project by TOTAL, which is part of the consortium on Transient and Complex Multiphase Flows (TMF); applying cutting-edge laser-based technologies, with a practical benefit to the oil and gas industry. Aside from his academic life, Mohammed is a keen footballer and track athlete, has a passion for entrepreneurship and keeps active in community and charity based work. He has also had the opportunity of gaining experience in both commercial and technical positions throughout his career path.
I join the group from two years working in the oil & gas industry as a Process Engineer, during which time I worked mainly on oil-water separation. Previous to that I completed my MEng in Chemical Engineering at Imperial, working with Omar and Roberto Ibarra for my masters research project in horizontal liquid-liquid flows. I now return to the department as a Marit Mohn PhD scholar, and my research with be on two phase flows with applications in concentrated solar power with direct steam generation.
I am a post-doctoral researcher working on the application of advanced laser-based diagnostic tools to unstable multiphase flows in small and pilot scale systems. The aim is to capture the hydrodynamics of rapid interfacial phenomena and understand the characteristics of transient and spatially evolving flows with heat transfer. I am also interested in exploring the effects of surface active agents and complex fluids. Applications of the work include hydrate formation in pipes and fouling in heat exchangers, together with more fundamental work on segregating dispersed/suspension flows and coalescence dynamics.
Mirco joined the group after a post-doc at the Laboratory of Heat and Mass Transfer (LTCM) of Prof. John R. Thome, EPFL, Switzerland. He has a Master degree in Mechanical Engineering and he obtained a PhD in Energy Engineering at the University of Bologna, Italy.
His research has been focused on the numerical and theoretical modelling and analysis of gas-liquid two-phase flows in microchannels, under both adiabatic and evaporating conditions. In particular, in the past years he worked on: development and implementation of numerical methods to model surface tension force and phase change in Volume Of Fluid (VOF) based CFD frameworks, using both ANSYS Fluent and OpenFOAM; theoretical modelling of evaporation and heat transfer for the slug flow regime in a microchannel (funded by a Swiss SNF grant); analysis of vertical Taylor flows with evaporation in conventional size tubes (collaboration with Maryland University); lubrication-like models to study the thin film surrounding elongated bubbles in confined flows in presence of inertial effects (collaboration with Princeton University); numerical simulation of stratified oil-water flows in oil transportation pipelines (collaboration with Tel Aviv University).
At EPFL, Mirco has been teacher of Numerical Methods in Heat Transfer, semester course for the Master degree in Mechanical Engineering, in 2016 and 2017, and he has co-organized and lectured at the 1st and 2nd Workshop on Advances in CFD and MD Modelling of Interface Dynamics in Capillary Two-Phase Flows, hosted at CECAM, EPFL, on 2016 and 2017.
His main research activity at the Matar Fluids Group involves the numerical modelling and simulation of wax deposition in oil pipelines. The objective of his work is to implement molecular-scale chemistry models resulting from MD simulations into a continuum-scale framework, in order to capture the wax formation process.
I am a part of the Fluids CDT at Imperial and just finished the MRes section of the course, with my research project on "Superhydrophobic surfaces in pressure-driven microchannels" based in the maths department. I am now starting a PhD working in the Sherwood lab based in bioengineering. Before moving to London, I grew up in the North-East including my undergraduate study of maths and physics at Durham University. In my spare time I enjoy cooking and practising jiu jitsu.
My current research focuses on investigating the link between local red blood cell (RBC) concentration and viscosity in microscale blood flow treated as a multiphase fluid. Blood is composed of RBCs and plasma with flow properties large dependent on the RBCs. RBC properties such as deformability and shear dependent aggregation leads to unusual flow properties, especially through the microvascular networks considered. The research is carried out using a combination of experimental and numerical techniques including blood perfusion and micro particle image velocimetry systems. Improved understanding of microhaemodynamics could have significant impact in better diagnosis and treatment of diseases such as diabetes."
Konstantinos Zinelis being always intrigued by the ‘magical’ world underlying mathematics, physics and chemistry at high school, he went on to study Chemical Engineering as an undergraduate at the National Technical University of Athens. During his diploma thesis, he worked on Self-consistent Field Theory to predict the surface properties of polymer melts. Fascinated by the idea of bridging the gap between chemical scientists and chemical engineers to address the emerging industrial challenges, he became a member of the first cohort of the IMSE MRes Programme in Molecular Science and Engineering at Imperial College London. During his research project, he developed data generation procedures for the accurate parameterisation of reactive SAFT EoS, having a 3-month industrial placement at P&G Company in Cincinnati and PSE Ltd in London. Being well-experienced in the molecular modelling, he chose to 'scale up' and be involved with the challenging world of fluid dynamics, carrying out his PhD in Matar Fluids Group. The objective of his research is to develop the proper numerics that are required to understand the physics governing the spray formation featuring non-Newtonian Fluids, presenting a novel CFD modelling approach."
Dr. Nitesh Bhatia is a Virtual Reality (VR) researcher with a background in Perceptual Computing, Information Design & Human Machine Interface. At Imperial College (UK), he will be working as a Research Associate with Matar Fluids Group under Prof. Omar K. Matar. His role is to help the group in developing an interactive & multimodal VR platform meant for education & teaching. Using this platform, complex fluid dynamics models & simulations can be perceived in an interactive 3D virtual environment, which otherwise can be hard to visualize.
Before joining Imperial College, he worked with a Korean company as a researcher for building a Cloud-based VR & AR platform. His PhD research at the Indian Institute of Science (India) involved the development of a human-centric, virtual ergonomics design & task assessment framework for Virtual Environments. As a User-Interface Designer, he was with the design group of a leading Indian company prior his PhD. He is a graduate of Dhirubhai Ambani Institute of Information & Communication Technology (India) with majors in Distributed Systems. He has also co-founded & managed UX of two social networking startups (currently not-functional) aimed at education & volunteering. He delights in exploring programming languages, computing platforms, & embedded systems. In his leisure time, he is an avid photography & art enthusiast, maintaining a compendium of his creative works through his blog dangling-thoughts.com
I am a professor from Research Institute of Petroleum Processing SINOPEC, and now I am a visiting scholar in MFG. I obtained my Bachelor degree and Ph.D. degree from Tsinghua University. My research areas mainly focus on multiphase system modeling, mass transfer enhancement and industrial application in the fields microreactor, fixed bed, bubble column (or slurry reactor) and extraction column.
Alessio D. Lavino is a Post-Doctoral Research Associate in the area of molecular modelling and molecular dynamics (MD) simulations relevant to boiling and two-phase heat transfer applications, as part of the Enhanced Multiscale Boiling Surfaces (EMBOSS) project, in collaboration with the University of Brunel and the University of Edinburgh.
EMBOSS combines experimental and computational techniques, spanning the scales from molecular to millimetres. MD simulations at the nucleation scale will be coupled to meso- and macro-scale models in terms of the flow and thermal fields, as well as interface shape (of the nucleated, growing bubble), taking into account substrate properties.
Alessio D. Lavino obtained his PhD at the Politecnico di Torino (Italy) dealing with multiscale modelling and simulations applied to polymer nanoparticles formation, by means of full-atom and coarse-grained molecular dynamics, population balance models (solved via quadrature-based moments methods) and computational fluid dynamics (CFD).
My line of research will be focused in providing a deeper understanding on the mechanics of complex multiphase flows which exhibit a non-Newtonian behavior (i.e crude oil-water liquid-liquid flow and emulsions) commonly found in the Oil & Gas industry. This project will involve the development of open-source codes that are based on the use of interface-tracking techniques. These techniques will allow tracking of markers that follow and define the plane of the interface, which is convected in a Lagrangian manner. The position of the markers evolves according to the solution of the Eulerian flow field. This code will be initially tested on Newtonian flows and then extended to the flow of liquid-liquid emulsions in channels. Based on the results obtained from the simulations, a machine-learning based algorithm will be developed to predict the occurrence of different flow patterns and phenomena such as phase inversion at different operational conditions.
Multi-scale Modelling and Simulation of Hydrate Formation and Agglomeration for Flow-Assurance Applications
The shift in the Oil & Gas industry towards deep-water exploration has made the formation and agglomeration of hydrates an increasingly concerning issue for flow assurance due to the possibility of plugging and the significant monetary losses that this may cause. In this project, a multiscale approach will be used to understand, model, and subsequently simulate how the various processes involved in the study of hydrates at different scales influence one another. In particular, the influence of smaller-scale phenomena, such as hydrate formation and agglomeration, on the slurry flow's macroscopic properties will be studied. The computational model will be fundamental in nature and will incorporate various aspects related to thermodynamics, kinetics, and transport phenomena required in order for it to be predictive (rather than correlative). Simple flow configurations/situations will be examined first to test, validate, and benchmark the code that will be used to solve the model equations; here, comparisons against published data will be performed. More complex flow situations will then be considered, which will be more aligned with those likely to be encountered in industrial settings.
Ariif Kamrul Bahrin
My passion as a researcher grew after reading a statement made by Richard Feynman which related to the atomic hypothesis. I have always been interested in discovering how chemicals behave in different environments, and how to get these different “personalities” of chemical to the desired end-state. This leads to my research interests in molecular modelling and simulation of complex chemical systems. Green chemicals are the major drivers of many research area, and of the green chemicals actively studied is surfactants. Surfactants are used in various applications in our daily life, and despite the rapid development in surfactant chemistry, there are knowledge gaps in determining the optimal structure for the intended application. Screening of surfactants is costly and time-consuming due to the endless possibilities of surfactants morphologies. I believe that molecular modelling allows accelerated surfactant research, and I look forward to conducting this research project.
I am research associate on numerical simulation of multiphase flows using front-tracking and domain decomposition methods. Our solver runs on a variety of computer architectures from laptops to supercomputers on 65536 threads or more (limited only by the availability to us of more threads). Our solver also includes modules for flow interaction with immersed solid objects, contact line dynamics, species and thermal transport with phase change.
Key words: Falling liquid film, droplet impact, direct numerical simulation, multiphase flow, parallel or distributed processing, interface dynamics and front tracking, atomization, Microfluidics,...
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