Готові списки джерел за темами / Droplet modeling

Добірка наукової літератури з теми "Droplet modeling"

Автор: Grafiati
Опубліковано: 14 березня 2023

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Статті в журналах з теми "Droplet modeling"

1

Heyn, Christian, and Stefan Feddersen. "Modeling of Al and Ga Droplet Nucleation during Droplet Epitaxy or Droplet Etching." Nanomaterials 11, no. 2 (February 12, 2021): 468. http://dx.doi.org/10.3390/nano11020468.

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Анотація:
The temperature dependent density of Al and Ga droplets deposited on AlGaAs with molecular beam epitaxy is studied theoretically. Such droplets are important for applications in quantum information technology and can be functionalized e.g., by droplet epitaxy or droplet etching for the self-assembled generation of quantum emitters. After an estimation based on a scaling analysis, the droplet densities are simulated using first a mean-field rate model and second a kinetic Monte Carlo (KMC) simulation basing on an atomistic representation of the mobile adatoms. The modeling of droplet nucleation with a very high surface activity of the adatoms and ultra-low droplet densities down to 5 × 106 cm−2 is highly demanding in particular for the KMC simulation. Both models consider two material related model parameters, the energy barrier ES for surface diffusion of free adatoms and the energy barrier EE for escape of atoms from droplets. The rate model quantitatively reproduces the droplet densities with ES = 0.19 eV, EE = 1.71 eV for Al droplets and ES = 0.115 eV for Ga droplets. For Ga, the values of EE are temperature dependent indicating the relevance of additional processes. Interestingly, the critical nucleus size depends on deposition time, which conflicts with the assumptions of the scaling model. Using a multiscale KMC algorithm to substantially shorten the computation times, Al droplets up to 460 °C on a 7500 × 7500 simulation field and Ga droplets up to 550 °C are simulated. The results show a very good agreement with the experiments using ES = 0.19 eV, EE = 1.44 eV for Al, and ES = 0.115 eV, EE = 1.24 eV (T≤ 300 °C) or EE = 1.24 + 0.06 (T[°C] − 300)/100 eV (T>300 °C) for Ga. The deviating EE is attributed to a re-nucleation effect that is not considered in the mean-field assumption of the rate model.
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2

Shayunusov, Doston, Dmitry Eskin, Boris V. Balakin, Svyatoslav Chugunov, Stein Tore Johansen, and Iskander Akhatov. "Modeling Water Droplet Freezing and Collision with a Solid Surface." Energies 14, no. 4 (February 16, 2021): 1020. http://dx.doi.org/10.3390/en14041020.

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Анотація:
Water droplets released from the sea surface represent one of the major causes of ice accretion on marine vessels. A one-dimensional model of the freezing of a spherical water droplet moving in cold air was developed. The crystallization model allows one to obtain an analytical solution if a uniform temperature distribution over the liquid’s core is assumed. The model was validated using STAR CCM+ Computational fluid dynamics (CFD) code. A collision of a partially frozen droplet with a solid wall assuming the plastic deformation of an ice crust was also considered. The ratio of the crust deformation to the crust thickness was evaluated. It was assumed that if this ratio were to exceed unity, the droplet would stick to the wall’s surface due to ice bridge formation caused by the water released from the droplet’s core.
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3

Feddersen, Stefan, Viktoryia Zolatanosha, Ahmed Alshaikh, Dirk Reuter, and Christian Heyn. "Modeling of Masked Droplet Deposition for Site-Controlled Ga Droplets." Nanomaterials 13, no. 3 (January 23, 2023): 466. http://dx.doi.org/10.3390/nano13030466.

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Анотація:
Site-controlled Ga droplets on AlGaAs substrates are fabricated using area selective deposition of Ga through apertures in a mask during molecular beam epitaxy (MBE). The Ga droplets can be crystallized into GaAs quantum dots using a crystallization step under As flux. In order to model the complex process, including the masked deposition of the droplets and a reduction of their number during a thermal annealing step, a multiscale kinetic Monte Carlo (mkMC) simulation of self-assembled Ga droplet formation on AlGaAs is expanded for area-selective deposition. The simulation has only two free model parameters: the activation energy for surface diffusion and the activation energy for thermal escape of adatoms from a droplet. Simulated droplet numbers within the opening of the aperture agree quantitatively with the experimental results down to the perfect site-control, with one droplet per aperture. However, the model parameters are different compared to those of the self-assembled droplet growth. We attribute this to the presence of the mask in close proximity to the surface, which modifies the local process temperature and the As background. This approach also explains the dependence of the model parameters on the size of the aperture.
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4

ROYENKO, V., R. KHALIKOV, S. KHRAMTSOV, and A. KARMES. "MODELING OF FLOODING BY TEMPERATURE-ACTIVATED WATER SPRAYS." Fire and Emergencies: prevention, elimination 3 (2021): 21–29. http://dx.doi.org/10.25257/fe.2021.3.21-29.

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Анотація:
Purpose. Fire extinguishing efficiency of flooding with temperature-activated water (TAW) sprays depends on the constituent droplets size and their distribution density. This work is aimed at determining effective characteristics of TAW polydisperse droplet phase for extinguishing fires in confined spaces. The research objectives are: 1) theoretical research of TAW extinguishing capacity dependence on its discharge parameters; 2) developing a generalized model of droplet motion in highly heated fluxes based on the physical process of TAW droplets evaporation in hightemperature environment; 3) modeling the evaporation process of TAW polydisperse droplet phase using the MathLab hardwaresoftware system. Methods. Chemical thermodynamics theory has been used to study evaporation and motion processes of TAW droplet phase. Similarity theory and algorithms theory have been used to simulate the evaporation process of TAW polydisperse droplet phase. Findings. The research has made it possible to establish that the most effective fire extinguishing characteristics are exhibited by temperature-activated water sprays, having droplets with a diameter of less than 5 µm distribution density of more than 60 %. In addition, it has been found that evaporation process of TAW sprays containing a greater number of first mode droplets has a parabolic-asymptotic character. Research application field. The compiled model can be applied to describe the evaporation process of water polydisperse media in highly heated fluxes, as well as to increase flooding efficiency with TAW sprays. Conclusions. Flooding process by means of TAW simulation makes it possible to determine the most effective fire extinguishing characteristics of its discharge for flooding. In further studies, it is advisable to simulate TAW sprays with inhibiting water-soluble salts evaporation process.
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5

Kumar, Amitesh, Seshadev Sahoo, Sudipto Ghosh, and Brij Kumar Dhindaw. "Effect of Process Parameters on Splat Formation during Impingement of Liquid Metal Droplets over a Cold Substrate." Materials Science Forum 710 (January 2012): 186–91. http://dx.doi.org/10.4028/www.scientific.net/msf.710.186.

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Анотація:
Molten metal droplet impingement is an integral part of droplet based manufacturing processes like spray casting and sprays coating. In these processes, in a single operation, a liquid metal stream is atomized into fine droplets, which impact on a substrate to form a bulk deposit. The properties of casting or coating strongly depend on the shape of splats formed by individual droplets after impingement and solidification. Therefore, considerable research studies have been carried out to characterize individual droplet impact, usually driven by an interest in a particular process. These studies include extensive modeling of droplet deposition, some of which are supported by experimental studies. Most of these modeling activities have focused on the impingement of a droplet on to a surface to predict quantities such as the extent of maximum spread and the final equilibrium diameter, the rate of heat transfer to the substrate, and the solidification rate. Due to interaction of several complex phenomena, comprehensive modeling of the droplet deposition is a challenging task. The flow of liquid droplet upon impingement is itself a complex phenomenon. Heat transfer and solidification occurring concurrently with the flow adds further to the complexity. Thus the present study aims at the development of a comprehensive mathematical model of impingement of liquid metal droplet upon a substrate to understand the effect of process parameters such as initial temperature of droplet, size of droplet and velocity of droplet.
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6

Pokharel, Sagar, Albina Tropina, and Mikhail Shneider. "Numerical Modeling of Laser Heating and Evaporation of a Single Droplet." Energies 16, no. 1 (December 29, 2022): 388. http://dx.doi.org/10.3390/en16010388.

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Анотація:
Laser technology is being widely studied for controlled energy deposition for a range of applications, including flow control, ignition, combustion, and diagnostics. The absorption and scattering of laser radiation by liquid droplets in aerosols affects propagation of the laser beam in the atmosphere, while the ignition and combustion characteristics in combustion chambers are influenced by the evaporation rate of the sprayed fuel. In this work, we present a mathematical model built on OpenFOAM for laser heating and evaporation of a single droplet in the diffusion-dominated regime taking into account absorption of the laser radiation, evaporation process, and vapor flow dynamics. The developed solver is validated against available experimental and numerical data for heating and evaporation of ethanol and water droplets. The two main regimes—continuous and pulsed laser heating—are explored. For continuous laser heating, the peak temperature is higher for larger droplets. For pulsed laser heating, when the peak irradiance is close to transition to the boiling regime, the temporal dynamics of the droplet temperature does not depend on the droplet size. With the empirical normalization of time, the dynamics of the droplet shrinkage and cooling are found to be independent of droplet sizes and peak laser intensities.
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7

Akdag, Osman, Yigit Akkus, Barbaros Çetin, and Zafer Dursunkaya. "Modeling the Evaporation of Drying Sessile Droplets with Buoyancy Driven Internal Convection." E3S Web of Conferences 321 (2021): 04013. http://dx.doi.org/10.1051/e3sconf/202132104013.

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Анотація:
Droplet evaporation is a fundamental phenomenon encountered in diverse applications such as inkjet printing, DNA mapping, film coating, and electronics cooling. Modeling the evaporation process of a sessile droplet is complicated because of the coupling of several physical phenomena occurring in different phases and various magnitudes such as the buoyant convection of the liquid in millimeter size droplets and that of the surrounding air/water vapor mixture, in the order of meters. In this study, the theoretical framework presented previously for the steadily fed droplets [Int J Therm Sci, 158 (2020) 106529] is extended to resolve the evaporation of drying droplets with a pinned contact line. Based on the quasi-steady-state assumption, buoyant convection inside the droplet and diffusive-convective transport of vapor in the gas domain are modeled. As a test case, drying process of a water droplet with a 68° initial contact angle on a heated substrate is simulated and the predictions of the model are interpreted.
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8

LUO, K. H., J. XIA, and E. MONACO. "MULTISCALE MODELING OF MULTIPHASE FLOW WITH COMPLEX INTERACTIONS." Journal of Multiscale Modelling 01, no. 01 (January 2009): 125–56. http://dx.doi.org/10.1142/s1756973709000074.

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Анотація:
This paper presents a variety of modeling and simulation methods for complex multiphase flow at microscopic, mesoscopic and macroscopic scales. Each method is discussed in terms of its scale-resolving capability and its relationship with other approaches. Examples of application are provided using a liquid–gas system, in which complex multiscale interactions exist among flow, turbulence, combustion and droplet dynamics. Large eddy simulation (LES) is employed to study the effects of a very large number of droplets on turbulent combustion in two configurations in a fixed laboratory frame. Direct numerical simulation (DNS) in a moving frame is then deployed to reveal detailed dynamic interactions between droplets and reaction zones. In both the LES and the DNS, evaporating droplets are modeled in a Lagrangian macroscopic approach, and have two-way couplings with the carrier gas phase. Finally, droplet collisions are studied using a multiple-relaxation-time lattice Boltzmann method (LBM). The LBM treats multiphase flow with real-fluid equations of state, which are stable and can cope with high density ratios. Examples of successful simulations of droplet coalescence and off-center separation are given. The paper ends with a summary of results and a discussion on hybrid multiscale approaches.
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9

Sinha, Anubhav, and RV Ravikrishna. "LES of spray in crossflow – Effect of droplet distortion." International Journal of Spray and Combustion Dynamics 9, no. 1 (June 22, 2016): 55–70. http://dx.doi.org/10.1177/1756827716652511.

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Анотація:
The present investigation is focused on modeling of spray in crossflow using Large Eddy Simulations (LES). The modeling efforts are supported by experiments which are used both to provide accurate boundary and initial conditions and to evaluate droplet shapes in the near nozzle region. The droplets are modeled as Lagrangian parcels in an Eulerian continuum. Droplets in such configuration have been found to be distorted and not in perfect spherical shape from experimental results of our previous study. Droplet distortion is computed by Taylor-Analogy Breakup (TAB) distortion model. Each droplet is modelled as damped spring-mass system, where surface tension acts as a spring on the mass of the droplet and viscous dissipation provides the damping effect. The effort is to examine the effect of drag law used and the effect of this distortion on the droplet sizes produced in the flow field. Spray wind-ward trajectory and droplet sizes obtained from simulations are compared with the experimental results available. Although computational spray trajectory shows a reasonable match with experimental values, droplet sizes using the standard TAB model are found to be larger than that from experimental observation. To account for this distortion and its role in early breakup of droplets, constants of the TAB model are modified and the droplet sizes are found to be in good agreement with the experimental data.
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10

Wu, Jiandong, Jiyun Xu, and Hao Wang. "Numerical simulation of micron and submicron droplets in jet impinging." Advances in Mechanical Engineering 10, no. 10 (October 2018): 168781401880531. http://dx.doi.org/10.1177/1687814018805319.

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Анотація:
Micron droplet deposition onto a wall in an impinging jet is important for various applications like spray cooling, coating, fuel injection, and erosion. The impinging process is featured by abrupt velocity changes and thus complicated behaviors of the droplets. Either modeling or experiment for the droplet behaviors is still challenging. This study conducted numerical modeling and compared with an existing experiment in which concentric dual-ring deposition patterns of micron droplets were observed on the impinging plate. The modeling fully took into account of the droplet motion in the turbulent flow, the collision between the droplets and the plate, as well as the collision, that is, agglomeration among droplets. Different turbulence models, that is, the v2− f model, standard k–ε model, and Reynolds stress model, were compared. The results show that the k–ε model failed to capture the turbulent flow structures and overpredicted the turbulent fluctuations near the wall. Reynolds stress model had a good performance in flow field simulation but still failed to reproduce the dual-ring deposition pattern. Only the v2− f model reproduced the dual-ring pattern when coupled with droplet collision models. The results echoed the excellent performance of the v2− f model in the heat transfer calculation for the impinging problems. The agglomeration among droplets has insignificant influence on the deposition.
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Більше джерел

Дисертації з теми "Droplet modeling"

1

Roberts, Warren B. "Black liquor droplet combustion and modeling /." Diss., CLICK HERE for online access, 2006. http://contentdm.lib.byu.edu/ETD/image/etd1339.pdf.

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2

Roberts, Warren Benjamin. "Black Liquor Droplet Combustion and Modeling." BYU ScholarsArchive, 2006. https://scholarsarchive.byu.edu/etd/745.

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Анотація:
Black liquor is an intermediate product of pulp production. Recovery boilers process black liquor to recover the inorganic material for recycling in the mill and to generate electricity and steam for the paper mill. Black liquor droplet combustion rates and mechanisms dictate many aspects of recovery boiler performance. This investigation documents new experimental data on single droplet pyrolysis and combustion in a laboratory furnace that mimics many of the essential features of commercial boilers (temperature, composition, droplet size, etc.). These experiments monitored single droplets placed on a thermocouple wire and suspended from a mass balance. Simultaneous video images and pyrometry data provide mass loss and internal temperature data. These investigations provide an extensive data set from which to validate a model and insight into the mechanisms of combustion. Particles burning in air expelled ejecta from the particle during the entire combustion process, though ejection rates during the late stages of char combustion were observed to be higher than during other stages. In addition, char burning began almost the instant the particle entered the reactor; showing significant overlap in the combustion processes. A transient, 1-dimensional, single-droplet model describes droplet combustion. This model solves the momentum, energy, species continuity, and overall continuity equations using the control volume method. The model uses the power-law scheme for combined advection diffusion, and the fully-implicit scheme for the time step. It predicts internal velocities, gas and solid temperatures (assumed equal), pressure, and composition. Pressure and velocity equations use Darcy's Law for flow through a porous medium. Modeling results show the large effect of swelling on all particle properties. This model describes the flame region by extending the control volume into the gas phase.
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3

Dalmaz, Nesip. "Modeling And Numerical Analysis Of Single Droplet Drying." Master's thesis, METU, 2005. http://etd.lib.metu.edu.tr/upload/12606487/index.pdf.

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Анотація:
MODELING AND NUMERICAL ANALYSIS OF SINGLE DROPLET DRYING DALMAZ, Nesip M.Sc., Department of Chemical Engineering Supervisor: Prof. Dr. H. Ö
nder Ö
ZBELGE Co-Supervisor: Asst. Prof. Dr. Yusuf ULUDAg August 2005, 120 pages A new single droplet drying model is developed that can be used as a part of computational modeling of a typical spray drier. It is aimed to describe the drying behavior of a single droplet both in constant and falling rate periods using receding evaporation front approach coupled with the utilization of heat and mass transfer equations. A special attention is addressed to develop two different numerical solution methods, namely the Variable Grid Network (VGN) algorithm for constant rate period and the Variable Time Step (VTS) algorithm for falling rate period, with the requirement of moving boundary analysis. For the assessment of the validity of the model, experimental weight and temperature histories of colloidal silica (SiO2), skimmed milk and sodium sulfate decahydrate (Na2SO4&
#8901
10H2O) droplets are compared with the model predictions. Further, proper choices of the numerical parameters are sought in order to have successful iteration loops. The model successfully estimated the weight and temperature histories of colloidal silica, dried at air temperatures of 101oC and 178oC, and skimmed milk, dried at air temperatures of 50oC and 90oC, droplets. However, the model failed to predict both the weight and the temperature histories of Na2SO4&
#8901
10H2O droplets dried at air temperatures of 90oC and 110oC. Using the vapor pressure expression of pure water, which neglects the non-idealities introduced by solid-liquid interactions, in model calculations is addressed to be the main reason of the model resulting poor estimations. However, the developed model gives the flexibility to use a proper vapor pressure expression without much effort for estimation of the drying history of droplets having highly soluble solids with strong solid-liquid interactions. Initial droplet diameters, which were calculated based on the estimations of the critical droplet weights, were predicted in the range of 1.5-2.0 mm, which are in good agreement with the experimental measurements. It is concluded that the study has resulted a new reliable drying model that can be used to predict the drying histories of different materials.
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4

Crounse, Brian C. (Brian Clark) 1972. "Modeling buoyant droplet plumes in a stratified environment." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/31089.

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Анотація:
Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2000.
Includes bibliographical references (p. 138-146).
This work describes the formulation and application of a novel two-phase integral plume model. This model describes the characteristics of a vertical plume driven by the continuous release of dissolving buoyant droplets from a fixed point in a stratified, stagnant environment. Model development is motivated by a specific application, the injection of CO 2 into the deep ocean by means of a buoyant droplet plume. This application is one method of sequestering anthropogenic C02 emissions from the atmosphere. The goal of such measures is to reduce the environmental risks associated with atmospheric emissions. Of course, sequestration of C02 in the ocean introduces other environmental concerns, as dissolved CO 2 tends to lower seawater pH. It is also necessary to ensure that the CO2 is delivered to a depth where it will not be transported to the surface over short time scales. To assess the feasibility and begin to estimate the potential for environmental impacts, a multinational group of researchers plans to conduct a pilot-scale field experiment in 2001. The aim of this work is to build a model of a buoyant droplet plume that will aid both design and interpretation of the field experiment, as well as any production-scale C02 releases. Such a model is also applicable to other two-phase plume flows. To that end, an integral model is formulated which accounts for the dynamics of the primary processes associated with a droplet plume: buoyant forces acting upon the droplets and plume water, dissolution of the droplets, turbulent entrainment of ambient water into the plume, and buoyant detrainment, or "peeling." The resulting model, at its core, is expressed as a set of nonlinear, coupled differential equations. Typical integral plume models are one-dimensional, initial-value problems which require a single integration to solve the governing equations. The particular nature of the class of plumes under investigation (droplet plumes where droplet buoyancy decreases with height due to dissolution, and dissolved C02 increases fluid density), however, is characterized by regions of upward flow, driven by the buoyant droplets, and downward flow, driven by stratification and other density effects. As these flows are coupled, solution of the governing equations for flow in each direction is iterative, increasing the complexity of the solution scheme. One implicit model assumption is that plume fluid in the vicinity of the droplets advects in the same direction as the droplets. As some coarse grid models predict that the fluid actually flows in the opposite direction, some scoping experiments were carried out to verify the nature of the velocity profile in a countercurrent droplet plume. The model is analyzed for sensitivity to both design variables, such as the flow rate of droplets at the source, and parameters which are uncertain, such as turbulent entrainment coefficients and droplet dissolution rates. In the case of C02 droplets, the dissolution rate is quite uncertain due to the formation of hydrates on the droplet surface, whose effect on mass transfer is poorly understood. Fortunately, it is clear that reduced mass transfer rates can be offset by reducing the size of the droplets. Also, while plume characteristics such as plume height are sensitive to parameter uncertainty, the dilution of C02 is strongly controlled by quantifiable factors such as the C02 mass flux and the ambient stratification. This is attributable to the density effect of dissolved C02; high concentrations of dissolved C02 creates negative buoyancy which induces mixing. This mixing aids dilution. The model is also compared to datasets describing different plume regimes in order to assess its validity. Though, when tuned to a given situation, the model agrees well with the data, there is no set of parameters which is universally applicable. Although the reasons why some parameters, such as the entrainment coefficients, change from case to case are partially understood, parameter uncertainty limits the accuracy of the model. In the case of a C02 droplet plume, the rise height predictions are estimated to be accurate to within ±30 percent.
by Brian Crounse.
S.M.
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5

Acquaviva, Paul J. (Paul Joseph). "Process modeling of deposit solidification in droplet based manufacturing." Thesis, Massachusetts Institute of Technology, 1995. http://hdl.handle.net/1721.1/37779.

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6

Meacham, John Marcus. "A Micromachined Ultrasonic Droplet Generator: Design, Fabrication, Visualization, and Modeling." Diss., Available online, Georgia Institute of Technology, 2006, 2006. http://etd.gatech.edu/theses/available/etd-07072006-103414/.

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Анотація:
Thesis (Ph. D.)--Mechanical Engineering, Georgia Institute of Technology, 2007.
Mark Papania, MD, Committee Member ; Mark Allen, Committee Member ; Yves Berthelot, Committee Member ; Ari Glezer, Committee Member ; F. Levent Degertekin, Committee Chair ; Andrei G. Fedorov, Committee Chair.
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7

Creasy, Miles Austin. "Bilayer Network Modeling." Diss., Virginia Tech, 2011. http://hdl.handle.net/10919/28758.

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Анотація:
This dissertation presents the development of a modeling scheme that is developed to model the membrane potentials and ion currents through a bilayer network system. The modeling platform builds off of work performed by Hodgkin and Huxley in modeling cell membrane potentials and ion currents with electrical circuits. This modeling platform is built specifically for cell mimics where individual aqueous volumes are separated by single bilayers like the droplet-interface-bilayer. Applied potentials in one of the aqueous volumes will propagate through the system creating membrane potentials across the bilayers of the system and ion currents through the membranes when proteins are incorporated to form pores or channels within the bilayers. The model design allows the system to be divided into individual nodes of single bilayers. The conductance properties of the proteins embedded within these bilayers are modeled and a finite element analysis scheme is used to form the system equations for all of the nodes. The system equation can be solved for the membrane potentials through the network and then solve for the ion currents through individual membranes in the system. A major part of this work is modeling the conductance of the proteins embedded within the bilayers. Some proteins embedded in bilayers open pores and channels through the bilayer in response to specific stimuli and allow ion currents to flow from one aqueous volume to an adjacent volume. Modeling examples of the conductance behavior of specific proteins are presented. The examples demonstrate aggregate conductance behavior of multiple embedded proteins in a single bilayer, and at examples where few proteins are embedded in the bilayer and the conductance comes from a single-channel or pore. The effect of ion gradients on the single channel conductance example is explored and those effects are included in the single-channel conductance model. Ultimately these conductance models are used with the system model to predict ion currents through a bilayer or through part of a bilayer network system. These modeling efforts provide a modeling tool that will assist engineers in designing bilayer network systems.
Ph. D.
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8

Healy, William M. "Modeling the impact of a liquid droplet on a solid surface." Diss., Georgia Institute of Technology, 1999. http://hdl.handle.net/1853/16737.

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9

Baalbaki, Daoud. "Simulation and modeling of turbulent non isothermal vapor-droplet dispersed flow." Perpignan, 2011. http://www.theses.fr/2011PERP1085.

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Анотація:
Le sujet traite de l’étude et de la modélisation, à l’échelle locale, des écoulements turbulents et diphasiques vapeur-gouttes dans un cœur de réacteur nucléaire lors d’un accident de perte de réfrigérant. On considère une modélisation moyennée Euler/Euler de l’écoulement diphasique. Ce travail aborde plus précisément la modélisation des termes de transfert de quantité de mouvement entre les phases et les termes de turbulence. Ainsi, nos travaux ont d’abord permis d’évaluer les limites de certains modèles utilisés dans le code de calcul NEPTUNE-CFD pour mener des études de thermo-hydraulique accidentelle au niveau local. Des solutions ont ensuite été proposées et mises en œuvre pour améliorer plus particulièrement la modélisation de l’hydrodynamique des particules et celle de leur dispersion turbulente. Cette thèse s’inscrit dans le cadre d’une collaboration entre l’IRSN et le laboratoire PROMES à Perpignan
This thesis deals with the simulation and the modeling of a turbulent vapor-droplets two-phase flow at the local scale in the core of a PWR (Pressured Water Reactor) nuclear reactor during LOCA (Loss Of Coolant Accident). We consider a Euler / Euler two-phase flow model. This work specifically treats the modeling of the terms of transfer of momentum between the phases and the terms of turbulence. Thus, first we studied the limitations of some models used in the computer code NEPTUNE-CFD for this type of flows. Solutions were then proposed and implemented to improve the modeling of the hydrodynamics of the droplets and especially that of their turbulent dispersion. This thesis is part of a collaboration between IRSN and the laboratory PROMES in Perpignan
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10

Rajagopalan, Venkat N. "GENERATION OF MULTICOMPONENT POLYMER BLEND MICROPARTICLES USING DROPLET EVAPORATION TECHNIQUE AND MODELING EVAPORATION OF BINARY DROPLET CONTAINING NON-VOLATILE SOLUTE." UKnowledge, 2014. http://uknowledge.uky.edu/cme_etds/39.

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Анотація:
Recently, considerable attention has been focused on the generation of nano- and micrometer scale multicomponent polymer particles with specifically tailored mechanical, electrical and optical properties. As only a few polymer-polymer pairs are miscible, the set of multicomponent polymer systems achievable by conventional methods, such as melt blending, is severely limited in property ranges. Therefore, researchers have been evaluating synthesis methods that can arbitrarily blend immiscible solvent pairs, thus expanding the range of properties that are practical. The generation of blended microparticles by evaporating a co-solvent from aerosol droplets containing two dissolved immiscible polymers in solution seems likely to exhibit a high degree of phase uniformity. A second important advantage of this technique is the formation of nano- and microscale particulates with very low impurities, which are not attainable through conventional solution techniques. When the timescale of solvent evaporation is lower than that of polymer diffusion and self-organization, phase separation is inhibited within the atto- to femto-liter volume of the droplet, and homogeneous blends of immiscible polymers can be produced. We have studied multicomponent polymer particles generated from highly monodisperse micrordroplets that were produced using a Vibrating Orifice Aerosol Generator (VOAG). The particles are characterized for both external and internal morphology along with homogeneity of the blends. Ultra-thin slices of polymer particles were characterized by a Scanning Electron Microscope (SEM), and the degree of uniformity was examined using an Electron Dispersive X-ray Analysis (EDAX). To further establish the homogeneity of the polymer blend microparticles, differential scanning calorimeter was used to measure the glass transition temperature of the microparticles obtained. A single glass transition temperature was obtained for these microparticles and hence the homogeneity of the blend was concluded. These results have its significance in the field of particulate encapsulation. Also, better control of the phase morphologies can be obtained by simply changing the solvent/solvents in the dilute solutions. Evaporation and drying of a binary droplet containing a solute and a solvent is a complicated phenomenon. Most of the present models do not consider convection in the droplet phase as solvent is usually water which is not very volatile. In considering highly volatile solvents the evaporation is very rapid. The surface of the droplet recedes inwards very fast and there is an inherent convective flow that is established inside the solution droplet. In this dissertation work, a model is developed that incorporates convection inside the droplet. The results obtained are compared to the size obtained from experimental results. The same model when used with an aqueous solution droplet predicted concentration profiles that are comparable to results obtained when convection was not taken into account. These results have significance for more rigorous modeling of binary and multicomponent droplet drying.
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Книги з теми "Droplet modeling"

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B, Robinson Susan, and Air and Energy Engineering Research Laboratory, eds. Mathematical modeling of single droplet trajectories in combustor flow fields: Project summary. Research Triangle Park, NC: U.S. Environmental Protection Agency, Air and Energy Engineering Research Laboratory, 1988.

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2

Raessi, Mehdi. Modelling density variation due to phase change during droplet impact. Ottawa: National Library of Canada, 2003.

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3

L, Dryer F., and United States. National Aeronautics and Space Administration., eds. Transient numerical modeling of the combustion of bi-component liquid droplets: Methanol/water mixture. [Washington, DC: National Aeronautics and Space Administration, 1994.

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Transient numerical modeling of the combustion of bi-component liquid droplets: Methanol/water mixture. [Washington, DC: National Aeronautics and Space Administration, 1994.

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Частини книг з теми "Droplet modeling"

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Gu, Zhaolin, and Wei Wei. "Numerical Modeling Methods for Droplet Electrification." In Electrification of Particulates in Industrial and Natural Multiphase flows, 61–85. Singapore: Springer Singapore, 2017. http://dx.doi.org/10.1007/978-981-10-3026-0_4.

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2

Németh, Márton, and András Poppe. "Reduced Order Thermal Modeling of Gas-Liquid Droplet-Flow." In First European Biomedical Engineering Conference for Young Investigators, 106–9. Singapore: Springer Singapore, 2015. http://dx.doi.org/10.1007/978-981-287-573-0_26.

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Fahey, Kathleen M., and Spyros N. Pandis. "The Role of Variable Droplet Size-Resolution in Aqueous-Phase Atmospheric Chemistry Modeling." In Air Pollution Modelling and Simulation, 422–30. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/978-3-662-04956-3_41.

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Wunsch, Dirk, Pascal Fede, Olivier Simonin, and Philippe Villedieu. "Numerical Simulation and Statistical Modeling of Inertial Droplet Coalescence in Homogeneous Isotropic Turbulence." In Notes on Numerical Fluid Mechanics and Multidisciplinary Design, 401–7. Berlin, Heidelberg: Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-14139-3_49.

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North, Elizabeth W., E. Eric Adams, Zachary Schlag, Christopher R. Sherwood, Ruoying He, Kyung Hoon Hyun, and Scott A. Socolofsky. "Simulating Oil Droplet Dispersal From the Deepwater Horizon Spill With a Lagrangian Approach." In Monitoring and Modeling the Deepwater Horizon Oil Spill: A Record-Breaking Enterprise, 217–26. Washington, D. C.: American Geophysical Union, 2011. http://dx.doi.org/10.1029/2011gm001102.

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Shukla, Rajesh Kumar, Sateesh Kumar Yadav, Mihir Hemant Shete, and Arvind Kumar. "Numerical Modeling of Impact and Solidification of a Molten Alloy Droplet on a Substrate." In Advances in Material Forming and Joining, 307–22. New Delhi: Springer India, 2015. http://dx.doi.org/10.1007/978-81-322-2355-9_16.

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Tanner, Robert D., Chever H. Kellogg, and Prashant B. Kokitkar. "Modeling Vapor Phase Water Droplet Extraction of Proteins from the Medium of an Air Fluidized Bioreactor." In Bioproducts and Bioprocesses 2, 35–46. Berlin, Heidelberg: Springer Berlin Heidelberg, 1993. http://dx.doi.org/10.1007/978-3-642-49360-7_6.

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Jöns, Steven, Stefan Fechter, Timon Hitz, and Claus-Dieter Munz. "Development of Numerical Methods for the Simulation of Compressible Droplet Dynamics Under Extreme Ambient Conditions." In Fluid Mechanics and Its Applications, 47–65. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09008-0_3.

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AbstractThe computation of two-phase flow scenarios in a high pressure and temperature environment is a delicate task, for both the physical modeling and the numerical method. In this article, we present a sharp interface method based on a level-set ghost fluid approach. Phase transition effects are included by the solution of the two-phase Riemann problem at the interface, supplemented by a phase transition model based on classical irreversible thermodynamics. We construct an exact Riemann solver, as well as an approximate Riemann solver. We compare numerical results against molecular dynamics data for an evaporation shock tube and a stationary evaporation case. In both cases, our numerical method shows a good agreement with the reference data.
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Potyka, Johanna, Johannes Kromer, Muyuan Liu, Kathrin Schulte, and Dieter Bothe. "Modelling and Numerical Simulation of Binary Droplet Collisions Under Extreme Conditions." In Fluid Mechanics and Its Applications, 127–47. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09008-0_7.

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AbstractThe complexity of binary droplet collisions strongly increases in case of immiscible liquids with the occurrence of triple lines or for high energetic collisions, where strong rim instabilities lead to the spattering of satellite droplets. To cope with such cases, the Volume of Fluid method is extended by an efficient interface reconstruction, also applicable to multi-material cells of arbitrary configuration, as well as an enhanced continuous surface stress model for accurate surface force computations, also applicable to thin films. For collisions of fully wetting liquids, excellent agreement to experimental data is achieved in different collision regimes. High-resolution simulations predict droplet collisions in the spattering regime and provide detailed insights into the evolution of the rim instability. Another challenge is the numerical prediction of the collision outcome in the bouncing or coalescence region, where the rarefied gas dynamics in the thin gas film determines the collision result. To this end, an important step forward became possible by modelling the pressure in the gas film. With the introduction of an interior collision plane within the flow domain, it is now possible to simulate droplet collisions with gas film thickness reaching the physically relevant length scale.
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Dirbude, Sumer, Abhijit Kushari, and Vinayak Eswaran. "Numerical Modeling and Study of Vaporization of Single Droplet and Mono-dispersed Spray Under Mixed Convection Conditions." In Lecture Notes in Mechanical Engineering, 73–82. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2697-4_8.

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Тези доповідей конференцій з теми "Droplet modeling"

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Foster, J. Lee. "NaK Droplet Source Modeling." In 54th International Astronautical Congress of the International Astronautical Federation, the International Academy of Astronautics, and the International Institute of Space Law. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2003. http://dx.doi.org/10.2514/6.iac-03-iaa.5.2.02.

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Xu, Zhenyuan, Lenan Zhang, Kyle L. Wilke, and Evelyn N. Wang. "MODELING OF JUMPING-DROPLET CONDENSATION WITH DYNAMIC DROPLET GROWTH." In International Heat Transfer Conference 16. Connecticut: Begellhouse, 2018. http://dx.doi.org/10.1615/ihtc16.hte.023384.

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Wang, Pengtao, Hongwei Sun, Peter Y. Wong, Hiroki Fukuda, and Teiichi Ando. "Modeling of Droplet-Based Processing for the Production of High-Performance Particulate Materials Using Level Set Method." In ASME 2008 International Mechanical Engineering Congress and Exposition. ASMEDC, 2008. http://dx.doi.org/10.1115/imece2008-68014.

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This research is focused on a numerical investigation of dynamic and thermal processes of single droplet in the uniform droplet spray (UDS) process. The level set method (LSM) is used to assist in tracking the liquid-gas and solid-liquid interfaces during droplet’s impingement and solidification. UDS process generates mono-size droplets of desired diameter, permits stringent control of the thermal state of the droplet, and produces deposits and materials with distinctly different microstructures including Icosahedral quasicrystalline phase (I-phase) in the Mg-Zn-Y system. The conservative level set function, combined with the Navier-Stokes and energy equations have been adopted to study the deformation and heat transfer of liquid metal droplet when impacting on the substrate under supercooling condition. The effects of surface tension and contact angle on droplet’s deformation are taken into consideration. The developed simulation technique is validated both analytically and experimentally. A rapid solidification model has been integrated with LSM to simulate the rapid solidification within the deformed Mg-Zn-Y droplet predicted in the former model. It is found that the initial temperature fields and latent heat releasing during solidification have significant impact on the solidification process.
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Garcia-Magariño, Adelaida, Suthyvann Sor, and Angel Velazquez. "Droplet Breakup Onset Modeling in Combination with Droplet Ratio Deformation Model." In AIAA Aviation 2019 Forum. Reston, Virginia: American Institute of Aeronautics and Astronautics, 2019. http://dx.doi.org/10.2514/6.2019-3719.

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Jung, Sungki, and Rho Myong. "Numerical Modeling for Eulerian Droplet Impingement in Supercooled Large Droplet Conditions." In 51st AIAA Aerospace Sciences Meeting including the New Horizons Forum and Aerospace Exposition. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2013. http://dx.doi.org/10.2514/6.2013-244.

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Zhang, H. "Mechanism and Modeling of Micro-Droplet Impact, Fragmentation, and Solidification." In ASME 2000 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 2000. http://dx.doi.org/10.1115/imece2000-1495.

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Abstract New applications have been identified for thermal spraying using micro-droplets. Mechanisms of impact, fragmentation, and solidification developed for millimeter size droplets are no longer applicable for micro-droplets due to the significance of the surface tension and wall interaction. New fragmentation mechanisms and advanced numerical modeling are required to develop a better understanding of the transport phenomena for droplet spreading and solidification. In this paper, the existing fragmentation mechanisms have been reviewed, and a new mechanism is proposed. The proposed mechanism considers the effects of flow instability, wettability, surface roughness, surface chemistry, and moisture absorption. This mechanism has been incorporated into an advanced numerical model that consists of a multizone adaptive grid generation used for tracking the movement of the solidification interface and a curvilinear level-set method for capturing the movement of free surface. Impact, fragmentation, and solidification of a molybdenum micro-droplet has been simulated, and the fragmentation morphology has been predicted.
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Long, Lyle, Michael Micci, Teresa Kaltz, Jeffrey Little, and Brian Wong. "Submicron droplet modeling using molecular dynamics." In 33rd Aerospace Sciences Meeting and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 1995. http://dx.doi.org/10.2514/6.1995-412.

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Alkhaddeim, Tasneim, Boshra AlShujaa, Waad AlBeiey, Fatima AlNeyadi, and Mahmoud Al Ahmad. "Piezoelectric energy droplet harvesting and modeling." In 2012 IEEE Sensors. IEEE, 2012. http://dx.doi.org/10.1109/icsens.2012.6411440.

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Daily, John, and James Nabity. "Electrostatic Modeling of Colloid Droplet Motion." In 41st AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2005. http://dx.doi.org/10.2514/6.2005-4390.

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Wu, Dazhong, Changxue Xu, and Srikumar Krishnamoorthy. "Predictive Modeling of Droplet Velocity and Size in Inkjet-Based Bioprinting." In ASME 2018 13th International Manufacturing Science and Engineering Conference. American Society of Mechanical Engineers, 2018. http://dx.doi.org/10.1115/msec2018-6513.

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Additive manufacturing is driving major innovations in many areas such as biomedical engineering. Recent advances have enabled 3D printing of biocompatible materials and cells into complex 3D functional living tissues and organs using bioink. Inkjet-based bioprinting fabricates the tissue and organ constructs by ejecting droplets onto a substrate. Compared with microextrusion-based and laser-assisted bioprinting, it is very difficult to predict and control the droplet formation process (e.g., droplet velocity and size). To address this issue, this paper presents a new data-driven approach to predict droplet velocity and size in the inkjet-based bioprinting process. An imaging system was used to monitor the droplet formation process. To investigate the effects of excitation voltage, dwell time, and rise time on droplet velocity and droplet size, a full factorial design of experiments was conducted. Two predictive models were developed to predict droplet velocity and droplet size using random forests. The accuracy of the two predictive models was evaluated using the relative error. Experimental results have shown that the predictive models are capable of predicting droplet velocity and size with sufficient accuracy.
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Звіти організацій з теми "Droplet modeling"

1

Allwine, K. Jerry, Frederick C. Rutz, James G. Droppo, Jeremy P. Rishel, Elaine G. Chapman, S. L. Bird, and Harold W. Thistle. SPRAYTRAN 1.0 User?s Guide: A GIS-Based Atmospheric Spray Droplet Dispersion Modeling System. Office of Scientific and Technical Information (OSTI), September 2006. http://dx.doi.org/10.2172/894470.

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Trabold, T. A., and R. Kumar. High pressure annular two-phase flow in a narrow duct. Part 1: Local measurements in the droplet field, and Part 2: Three-field modeling. Office of Scientific and Technical Information (OSTI), July 1999. http://dx.doi.org/10.2172/353192.

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Kreidenweis, S. M. Modeling of aqueous chemistry in cloud droplets. Office of Scientific and Technical Information (OSTI), February 1992. http://dx.doi.org/10.2172/10165473.

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