scholarly journals Emulsion Microstructure and Dynamics

2021 ◽  
Author(s):  
◽  
Nelly Malassagne-Bulgarelli

<p>Emulsions are kinetically stabilised mixtures of two immiscible fluids (e.g. oil and water). They are encountered in many industrial applications including cosmetics, food, road, drug delivery and paint technology. Despite their wide spread use, the formulation of emulsions remains largely empirical. The nature of the relationships between ingredients, composition, emulsification method and energy input, defining the microstructure (e.g. droplet size distribution and surfactant packing at the oil/water interface), the dynamics (e.g. interdroplet exchange) and the lifetime of emulsions, is still poorly understood. In particular, little work has focused on the mutual interactions between emulsifier and oil molecules and how these affect the properties of the interfacial domain and emulsion dynamics. The emulsion system oil/Triton X-100/water was investigated, where Triton X-100 is a commercially available non ionic surfactant and the oil is one of toluene, p-xylene or octane. The microstructure and the dynamics of these oil/Triton X-100/water emulsions were monitored upon varying oil type, oil concentration, emulsion age and ionic strength while maintaining the oil-to-surfactant weight ratio, temperature, energy input and emulsification method constant. For this purpose, laser scanning confocal microscopy, cryo scanning electron microscopy (cryo-SEM), pulsed field gradient NMR (PFG-NMR), macroscopic phase separation and light scattering techniques were used as experimental techniques. The occurrence of an oil exchange between oil droplets that is not coupled to droplet growth and emulsion destabilization is reported for the three oil systems: toluene, p-xylene or octane. The mixture of two separately stained emulsions, using green and red fluorescing dye molecules, leads to all droplets emitting yellow fluorescence under the confocal microscope within ∼10 min of mixing due to the interdroplet exchange of the two water insoluble dyes. Furthermore, the PFG-NMR data for both toluene and p-xylene systems indicate that, for long observation times, Δ, the echo attenuation of the oil signal decays as a single exponential upon increasing the diffusion parameters. In other words the individual motions of the droplets and oil molecules are described by a unique diffusion coefficient belying the system polydispersity and indicative of a dynamic process occurring on a time scale faster than the observation time. One way to explain this outcome is to consider a motional averaging of the oil diffusion arising from either oil permeation upon droplet collision or reversible coalescence of the droplets. These two mechanisms are supported by the extensive droplet contact observed by cryo-SEM. Such an oil transfer occurring in three distinct oil systems, independently of emulsion destabilization, has not been reported previously. Upon decreasing the NMR observation time below a specific value, Δswitch, a switch of the echo attenuation data was detected between a single exponential and a multiexponential decay, the latter indicative of the emulsion droplet size distribution. The time scale of the oil transfer, Δswitch, was probed upon varying oil type, oil concentration, emulsion age and ionic strength. In particular, the time scale of the oil exchange is an increasing function, spanning from ~300 ms to ~3 s, of droplet concentration in toluene emulsions despite the concomitant increase of the droplet collision frequency. Upon increasing the toluene content and decreasing the mean interdroplet spacing, the oil droplets are kinetically stabilized by the enhancement of the surfactant packing at the oil/water interface. In addition to the surfactant packing at the surface of the oil droplets, ionic strength and droplet size, the rate of oil exchange is controlled by the mutual interactions between oil and Triton X-100 molecules. The rate of oil transfer is a decreasing function from toluene to p-xylene to octane. The increase of the mean droplet size in the same order cannot solely account for the observed slowdown of the oil exchange. The macroscopic phase separation data indicate that the Triton X-100 layer is increasingly robust with respect to oil transfer from toluene to p-xylene to octane. This can be compared with the oil exchange process and explained in terms of oil penetration effects into the surfactant layer and energy cost for hole nucleation.</p>

2021 ◽  
Author(s):  
◽  
Nelly Malassagne-Bulgarelli

<p>Emulsions are kinetically stabilised mixtures of two immiscible fluids (e.g. oil and water). They are encountered in many industrial applications including cosmetics, food, road, drug delivery and paint technology. Despite their wide spread use, the formulation of emulsions remains largely empirical. The nature of the relationships between ingredients, composition, emulsification method and energy input, defining the microstructure (e.g. droplet size distribution and surfactant packing at the oil/water interface), the dynamics (e.g. interdroplet exchange) and the lifetime of emulsions, is still poorly understood. In particular, little work has focused on the mutual interactions between emulsifier and oil molecules and how these affect the properties of the interfacial domain and emulsion dynamics. The emulsion system oil/Triton X-100/water was investigated, where Triton X-100 is a commercially available non ionic surfactant and the oil is one of toluene, p-xylene or octane. The microstructure and the dynamics of these oil/Triton X-100/water emulsions were monitored upon varying oil type, oil concentration, emulsion age and ionic strength while maintaining the oil-to-surfactant weight ratio, temperature, energy input and emulsification method constant. For this purpose, laser scanning confocal microscopy, cryo scanning electron microscopy (cryo-SEM), pulsed field gradient NMR (PFG-NMR), macroscopic phase separation and light scattering techniques were used as experimental techniques. The occurrence of an oil exchange between oil droplets that is not coupled to droplet growth and emulsion destabilization is reported for the three oil systems: toluene, p-xylene or octane. The mixture of two separately stained emulsions, using green and red fluorescing dye molecules, leads to all droplets emitting yellow fluorescence under the confocal microscope within ∼10 min of mixing due to the interdroplet exchange of the two water insoluble dyes. Furthermore, the PFG-NMR data for both toluene and p-xylene systems indicate that, for long observation times, Δ, the echo attenuation of the oil signal decays as a single exponential upon increasing the diffusion parameters. In other words the individual motions of the droplets and oil molecules are described by a unique diffusion coefficient belying the system polydispersity and indicative of a dynamic process occurring on a time scale faster than the observation time. One way to explain this outcome is to consider a motional averaging of the oil diffusion arising from either oil permeation upon droplet collision or reversible coalescence of the droplets. These two mechanisms are supported by the extensive droplet contact observed by cryo-SEM. Such an oil transfer occurring in three distinct oil systems, independently of emulsion destabilization, has not been reported previously. Upon decreasing the NMR observation time below a specific value, Δswitch, a switch of the echo attenuation data was detected between a single exponential and a multiexponential decay, the latter indicative of the emulsion droplet size distribution. The time scale of the oil transfer, Δswitch, was probed upon varying oil type, oil concentration, emulsion age and ionic strength. In particular, the time scale of the oil exchange is an increasing function, spanning from ~300 ms to ~3 s, of droplet concentration in toluene emulsions despite the concomitant increase of the droplet collision frequency. Upon increasing the toluene content and decreasing the mean interdroplet spacing, the oil droplets are kinetically stabilized by the enhancement of the surfactant packing at the oil/water interface. In addition to the surfactant packing at the surface of the oil droplets, ionic strength and droplet size, the rate of oil exchange is controlled by the mutual interactions between oil and Triton X-100 molecules. The rate of oil transfer is a decreasing function from toluene to p-xylene to octane. The increase of the mean droplet size in the same order cannot solely account for the observed slowdown of the oil exchange. The macroscopic phase separation data indicate that the Triton X-100 layer is increasingly robust with respect to oil transfer from toluene to p-xylene to octane. This can be compared with the oil exchange process and explained in terms of oil penetration effects into the surfactant layer and energy cost for hole nucleation.</p>


2021 ◽  
Author(s):  
Puyuan Wu ◽  
Jun Chen ◽  
Paul E. Sojka ◽  
Yang Li ◽  
Hongjun Cao

Abstract Hundreds of millions of Air conditioning (AC) systems are produced each year. Many of them, especially small AC appliances, use rotary compressors as the system’s heat pump due to their simple structure and high efficiency in a small system. Lubricant oil is used in the rotary compressor to lubricate the moving parts, such as the crankshaft and the rolling piston, and to seal the clearance between the sliding parts, e.g., the clearance between the rolling piston and the cylinder, and the vane and the cylinder. As the compressed refrigerant vapor is discharged from the cylinder through the discharge port, part of lubricant oil in the cylinder would be carried by the vapor and atomize into small droplets in the lower cavity during the discharge process, which is complicated and highly-coupled. Some of these oil droplets would ultimately be exhausted from the compressor and enter other parts in the system, reducing the compressor reliability and deteriorating the heat transfer of the condenser and the evaporator in the system. Our previous research studied the atomization of the lubricant oil during the discharge process in the compressor’s lower cavity. However, the oil droplets’ behavior downstream of the lower cavity is unknown. Thus, studying the oil droplets’ behavior after passing through the rotor/stator can help understand how the rotor/stator would affect the droplet size distribution and movement, thus controlling the flow rate of escaped oil droplets. In this study, a hot gas bypass test rig is built to run a modified rotary compressor with sapphire windows right above the rotor/stator. The oil droplets’ size distribution and movement along the radial direction are obtained at the shaft’s rotating frequency of 30 and 60 Hz by shadowgraph. It is found that droplet size at 30 and 60 Hz varies little in the inner region of the rotor/stator clearance and would increase sharply above the clearance and keep increasing in the outer region of the clearance. More importantly, droplet velocity has a downward velocity component at the inner region and an upward velocity component at the outer region of the rotor/stator clearance. With the result of droplet size distribution and droplet velocity above the rotor/stator, we propose the model of the oil droplet’s path above the rotor/stator, which can be understood as the coupling of a swirling jet and a rotating disk.


2020 ◽  
Author(s):  
Gustavo Abade ◽  
Marta Waclawczyk ◽  
Wojciech W. Grabowski ◽  
Hanna Pawlowska

&lt;p&gt;Turbulent clouds are challenging to model and simulate due to uncertainties in microphysical processes occurring at unresolved subgrid scales (SGS). These processes include the transport of cloud particles, supersaturation fluctuations, turbulent mixing, and the resulting stochastic droplet activation and growth by condensation. In this work, we apply two different Lagrangian stochastic schemes to model SGS cloud microphysics. Collision and coalescence of droplets are not considered. Cloud droplets and unactivated cloud condensation nuclei (CCN) are described by Lagrangian particles (superdroplets). The first microphysical scheme directly models the supersaturation fluctuations experienced by each Lagrangian superdroplet as it moves with the air flow. Supersaturation fluctuations are driven by turbulent fluctuations of the droplet vertical velocity through the adiabatic cooling/warming effect. The second, more elaborate scheme uses both temperature and vapor mixing ratio as stochastic attributes attached to each superdroplet. It is based on the probability density function formalism that provides a consistent Eulerian-Lagrangian formulation of scalar transport in a turbulent flow. Both stochastic microphysical schemes are tested in a synthetic turbulent-like cloud flow that mimics a stratocumulus topped boundary layer. It is shown that SGS turbulence plays a key role in broadening the droplet-size distribution towards larger sizes. Also, the feedback on water vapor of stochastically activated droplets buffers the variations of the mean supersaturation driven the resolved transport. This extends the distance over which entrained CNN are activated inside the cloud layer and produces multimodal droplet-size distributions.&lt;/p&gt;


Author(s):  
Martha L. Taboada ◽  
Doll Chutani ◽  
Heike P. Karbstein ◽  
Volker Gaukel

AbstractThe goal of this study was to investigate the changes in oil droplet size in whey protein–stabilized emulsions during the atomization and the subsequent drying step of a spray drying process. For this purpose, experiments were performed in an atomization rig and a pilot spray dryer with two commercial pressure swirl atomizers. By comparing the oil droplet size before atomization, after atomization, and after spray drying, the changes in oil droplet size during each process step were quantified. The effect of oil droplet breakup during atomization was isolated by atomizing emulsions with 1 wt.% oil content and a protein to oil concentration ratio of 0.1. At 100 bar, the Sauter mean diameter of oil droplet size was reduced from 3.13 to 0.61 μm. Directly after breakup, coalescence of the oil droplets was observed for emulsions with a high oil content of 30 wt.%, leading to a droplet size after atomization of 1.15 μm. Increasing the protein to oil concentration ratio to 0.2 reduced coalescence during atomization and oil droplets with a mean diameter of 0.92 μm were obtained. Further coalescence was observed during the drying step: for an oil content of 30 wt.% and a protein to oil concentration ratio of 0.1 the mean droplet size increased to 1.77 μm. Powders produced at high oil contents showed a strong tendency to clump. Comparable effects were observed for a spray drying process with a different nozzle at 250 bar. The results confirm that droplet breakup and coalescence during atomization and coalescence during drying have to be taken into consideration when targeting specific oil droplet sizes in the product. This is relevant for product design in spray drying applications, in which the oil droplet size in the powder or after its redispersion determines product quality and stability.


2019 ◽  
Author(s):  
Steven K. Krueger

Abstract. In a laboratory cloud chamber that is undergoing Rayleigh-Bénard convection, supersaturation is produced by isobaric mixing. When aerosols (cloud condensation nuclei) are injected into the chamber at a constant rate, and the rate of droplet activation is balanced by the rate of droplet loss, an equilibrium droplet size distribution (DSD) can be achieved. We derived analytic equilibrium DSDs and PDFs of droplet radius and squared radius for conditions that could occur in such a turbulent cloud chamber when there is uniform supersaturation. The loss rate due to fall out that we used assumes that (1) the droplets are well-mixed by turbulence, (2) when a droplet becomes sufficiently close to the lower boundary, the droplet’s terminal velocity determines its probability of fall out per unit time, and (3) a droplet’s terminal velocity follows Stokes’ Law (so it is proportional to its radius squared). Given the chamber height, the analytic PDF is determined by the mean supersaturation alone. From the expression for the PDF of the radius, we obtained analytic expressions for the first five moments of the radius, including moments for truncated DSDs. We used statistics from a set of measured DSDs to check for consistency with the analytic PDF. We found consistency between the theoretical and measured moments, but only when the truncation radius of the measured DSDs was taken into account. This consistency allows us to infer the mean supersaturations that would produce the measured PDFs in the absence of supersaturation fluctuations. We found that accounting for the truncation radius of the measured DSDs is particularly important when comparing the theoretical and measured relative dispersions of the droplet radius. We also included some additional quantities derived from the analytic DSD: droplet sedimentation flux, precipitation flux, and condensation rate.


2017 ◽  
Vol 2017 (1) ◽  
pp. 2017-194
Author(s):  
Lin Zhao ◽  
Michel C. Boufadel ◽  
Feng Gao ◽  
Thomas King ◽  
Brian Robinson ◽  
...  

Abstract (2017-194) The presence of methane bubbles in the oil and gas blowout could greatly reduce the oil droplet sizes. Bubbles tend to introduce energy into the system and separate oil droplets from each other. The interaction of oil droplets and gas bubbles in the near field of a blowout was investigated numerically using the VDROP-J model, whose droplet size distribution (DSD) was thoroughly calibrated. For this purpose, a new numerical scheme has been developed in VDROP-J to account for the interaction of gas bubbles and oil droplets in the blowout, giving simultaneous simulation of bubble and droplet size distribution along the discharged plume. Validation shows improvement of the model compared with the one without considering the gas bubble and oil droplet interactions. Effects of gas volume fraction on the droplet formation are also investigated. This new development will enhance the knowledge in subsea oil and gas blowouts.


2014 ◽  
Vol 2014 (1) ◽  
pp. 561-571 ◽  
Author(s):  
Lin Zhao ◽  
Michel C. Boufadel ◽  
E. Eric Adams ◽  
Scott A. Socolofsky ◽  
Kenneth Lee

ABSTRACT This paper presents the details of a numerical model that is capable of simulating the droplet size distribution emanating from blowouts. The model was obtained as a result of combination of traditional mechanistic models developed in reactors with jet (or plume) models to predict the evolution of the plume away from the orifice. Inputs to the model include the energy dissipation rate (or the mixing energy) and holdup, which is the volume fraction of oil in the control volume. These parameters vary as the plume spreads away from the orifice. They have a maximum value near the orifice and rapidly decrease as moving away from the orifice. The model was validated using experimental data available in the literature. Subsequently, the model was used to predict the evolution of droplets in the Deepwater Horizon incident. The model provides the variation of the mean diameter and the droplet size distribution with depths away from the orifice. The sensitivity of different parameters, such as interfacial tension which could present the addition of dispersants was also evaluated.


Langmuir ◽  
2005 ◽  
Vol 21 (20) ◽  
pp. 9076-9084 ◽  
Author(s):  
Jason P. Hindmarsh ◽  
Jiahong Su ◽  
John Flanagan ◽  
Harjinder Singh

2020 ◽  
Vol 10 (16) ◽  
pp. 5648
Author(s):  
Fei Wang ◽  
Lin Wang ◽  
Guoding Chen ◽  
Donglei Zhu

In order to improve the inadequacy of the current research on oil droplet size distribution in aero-engine bearing chamber, the influence of oil droplet size distribution with the oil droplets coalescence and breakup is analyzed by using the computational fluid dynamics-population balance model (CFD-PBM). The Euler–Euler equation and population balance equation are solved in Fluent software. The distribution of the gas phase velocity field and the volume fraction of different oil droplet diameter at different time are obtained in the bearing chamber. Then, the influence of different initial oil droplet diameter, air, and oil mass flow on oil droplet size distribution is discussed. The result of numerical analysis is compared with the experiment in the literature to verify the feasibility and validity. The main results provide the following conclusions. At the initial stage, the coalescence of oil droplets plays a dominant role. Then, the breakup of larger diameter oil droplet appears. Finally, the oil droplet size distribution tends to be stable. The coalescence and breakup of oil droplet increases with the initial diameter of oil droplet and the air mass flow increasing, and the oil droplet size distribution changes significantly. With the oil mass flow increasing, the coalescence and breakup of oil droplet has little change and the variation of oil droplet size distribution is not obvious.


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