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Computational simulations of air glow discharge plasma in the presence of supersonic flow are presented. The glow discharge model is based on a self-consistent, multi-species, continuum description of the plasma with finite-rate chemistry effects. The glow discharge model is coupled to a compressible Navier-Stokes solver to study the effect of the plasma on the flow and the counter-effect of the flow on the plasma. A finite-rate air chemistry model is presented and validated against experiments from the literature at a pressure of 600 mTorr. Computational results are compared with experimentally measured V-I characteristics, axial positive ion densities and electron temperature, and reasonably good qualitative and quantitative agreement is observed. The validated air plasma model is then used to study the effect of the surface plasma discharge on M=3 supersonic flow at freestream pressure 18 Torr and the corresponding effects of the flow on the discharge structure in two dimensions. The species concentrations and the gas temperature are examined in the absence and presence of bulk supersonic flow. The peak gas temperature from the computations is found to be 1180 K with the surface plasma alone in the absence of flow, and 830 K in the presence of supersonic flow. Results indicate that O- ions can have comparable densities to electrons in the pressure range 1-20 Torr, and that O2- ion densities are at least two orders of magnitude smaller over the pressure range considered. Different ion species are found to be dominant in the absence and presence of supersonic flow, highlighting the importance of including finite-rate chemistry effects in discharge models for understanding plasma actuator physical phenomena. Electrode polarity effects are investigated, and the cathode upstream actuation is found to be stronger than the actuation strength with the cathode downstream, which is consistent with experimental findings of several groups. A parallel computing implementation of the plasma and flow simulation tools has been developed and is used to study the three-dimensional plasma actuator configuration with circular pin electrodes. / text

Analytical and numerical studies are carried out to investigate spacecraft charging and plasma interactions in the solar wind. The physics of spacecraft charging in solar wind is determined by the mesothermal flow and the photoelectron sheath. In order to properly resolve both plasma flow and the photoelectron sheath, a 3-D full particle PIC model is applied. In this model, all plasma species (ambient ions and electrons, and photoelectrons) are modeled as macro-particles so the detailed dynamics of each species can be resolved around a charged spacecraft. In order to correctly resolve the mesothermal velocity ratio, PIC simulations are carried out using the real ion to electron mass ratio. A charging model based on the capacitance matrix method is integrated into the PIC model so the floating potential can be calculated self-consistently with the PIC code from charges deposited on the surface. We first investigate the photoelectron sheath in the solar wind. Previous analytical studies of monotonic and non-monotonic sheath profiles in stationary electrons have suggested that there can exist two solutions of the sheath profiles when photoelectron emissions are significant. We extend the previous analytical approach to include the effects of drifting electrons. Full particle PIC simulations suggest that the non-monotonic sheath profile is the stable solution under solar wind conditions. We found that the current balance calculation is not an accurate method to predict the floating potential when photoelectron emissions are significant. We next apply the simulation model to study spacecraft charging under various solar wind conditions. Due to photoelectron emissions, spacecraft charging is typically not a serious problem. The floating potential is ~2.5V under the mean solar wind condition. We also investigate the plasma interactions of a multi-body system consisting of a large platform and a small free flyer in the absence of photoelectron emissions where we set a free flyer at 2*Debye length behind the platform in the wake. For the particular system studied in this dissertation, the simulation shows that wake charging is not severe under both the mean solar wind condition and severe magnetosheath charging condition. / Ph. D.

The numerical simulation and modeling of plasma detachment from a magnetic nozzle is presented. The detachment problem is of key importance to the plasma-based propulsion concepts that employ a guiding magnetic field to control plasma flow and motivated by the needs of the VASIMR (Variable Specific Impulse Magnetoplasma Rocket) project. The detachment of the plasma exhaust is required to produce directed thrust. In the present scenario plasma can stretch the magnetic field lines to infinity, similar to the solar wind. In order to extend the magnetic nozzle model beyond the limitations of analytic theory, a numerical code is developed to simulate steady-state kinetic plasma flows and to evaluate nozzle efficiency. The direct solution of a steady-state problem, as opposed to an initial value problem, eliminates the need to deal with transient phenomena that are of secondary importance for continuously operated plasma thrusters. The new simulation code is verified against the analytic results and then used to model the plasma behaviour for the conditions of the Detachment Demonstration Experiment (DDEX) at the NASA Marshall Propulsion Research Center, Huntsville, Alabama. / text

Studies of resonant magnetic perturbations (RMP) have been an active topic in the tokamak research. The RMP technique involves the use of magnetic perturbations generated by external coils installed on a tokamak device. The resonant interaction between the plasma and RMP has favorable effects on magnetohydrodynamic (MHD) stability and other plasma parameters in tokamaks. The RMP experiments are carried out in the Saskatchewan Torus-Modified (STOR-M) tokamak using (l = 2, n = 1) helical coils carrying a static current pulse. The effect of RMP on the (m = 2, n = 1) magnetic islands is examined during ohmic discharges with high MHD activities. The amplitude and frequency of (2, 1) Mirnov fluctuations are significantly reduced after application of RMP. A phase of improved plasma confinement, characterized by a reduction in the H_alpha emission level and an increase in the soft x-ray (SXR) emission, is induced after application of RMP. It is also observed using the ion Doppler spectroscopy (IDS) that RMP can strongly affect the plasma rotation in STOR-M. It is found that during the RMP pulse, the toroidal velocity of C_III impurities (located at the plasma edge) increases in the co-current direction. However, the toroidal velocities of O_V and C_VI impurities (located near the plasma core) change direction from counter-current to co-current. The reduction of the toroidal flow velocity is accompanied by a reduction of the MHD frequency. It is also found that radial profiles of ion saturation current and floating potential in the edge region can be modified by RMP. An increase in the pedestal plasma density and a more negative electric field are observed at the plasma edge region during the RMP pulse. An internal probe array is assembled and installed in STOR-M to study the RMP penetration and the plasma response to RMP.

Optimal pharmacotherapy requires an understanding of the dose-exposure (pharmacokinetics or PK) to response (pharmacodynamic or PD) relationship. Little is known about the influence of obesity on this dynamic system as PK studies in obesity have been largely descriptive rather than explanatory. This has led to a paucity of dosing guidelines for the obese, and arbitrary dose selection in the clinic. There is a need to quantify the impact of obesity on drug clearance (CL) to ensure that exposure is matched across patients of different body compositions, thereby improving therapeutic outcomes and minimising adverse events. The global aim of this thesis was to use prior published data and new clinical trial data to understand how body composition impacts upon drug CL and renal function, and to determine how clinical study design influences the identification of these relationships. Chapter 2 of this thesis determined if conventional body size descriptors that have been used to scale drug doses to body size were appropriate. In the clinical setting, a body size descriptor commonly used for determining dose requirements is total body weight (WT), based on the assumption that physiological function and PK parameters vary according to body size. However, dosing algorithms based on WT might be unsuitable for the obese due to their altered body composition which, if inaccurate, could ultimately lead to overdoses. Alternative body size descriptors such as body surface area and ideal body weight have been used, but are limited when extrapolated to obese patients as they do not take into account the covariates required to describe differences in body composition between individuals. In contrast, it was demonstrated that lean body weight (LBW), as derived by Janmahasatian et al, had the potential to scale CL across a wide range of body compositions. This literature review and systematic analysis of previously published obesity data led to the proposal of a hypothesis that body composition is sufficient to explain the influence of obesity on drug CL and that dosing for obese patients should be based on LBW. When conducting clinical studies, the selection of an appropriate body size descriptor for scaling doses across individuals of different body compositions can be aided by a study design that allows for the identification of parameter-covariate relationships which are transportable to the obese. Chapter 3 of this thesis quantified the probability of identifying these parameter-covariate relationships as a function of differing study designs. Demographics were generated using a multivariate lognormal covariate distribution with truncation at different WT limits under both a non-stratified and stratified design. PK data were simulated from a 1-compartment, first order input, first order elimination model with LBW as the covariate on CL, termed the ‘True Model’. The ‘False Model’ had WT as the covariate on CL. Both models were fitted to the simulated data and the preferred model was selected based on the difference in objective function values. Each design was evaluated under differing magnitudes of random effects, as well as under a D-optimal sparse sampling scheme. It was shown under a simulation platform that the use of stratification and a wide covariate range enhanced the probability of selecting the true covariate from two competing covariate models. The aforementioned findings regarding LBW and stratification were used to design a new clinical study investigating the influence of obesity on renal drug elimination pathways. This work forms Chapters 4 and 5 of this thesis. Non-obese and obese healthy volunteers were recruited using a study design stratified for LBW. These subjects were administered a combination of four renal markers for the simultaneous assessment of various renal processes. One of the renal markers was para-aminohippuric acid (PAH), which provides an estimation of renal plasma flow (RPF). A population PK model was developed for PAH, which revealed that body size alone was insufficient to explain variability in RPF across healthy individuals of a large range of body compositions, although LBW emerged as the preferred covariate (p=0.053) among the body size descriptors tested. This weak covariate effect was in contrast with prior research supporting the use of LBW in normalising the effect of obesity on glomerular filtration rate (GFR), implying that body composition could play a greater role in influencing GFR than RPF. This thesis has applied new methods to the design of drug CL studies in obesity, and offered results and future directions to maximise the information gained from such clinical studies. A better understanding of alterations in PK and physiological function arising from changes in body composition should aid in optimising dose adjustments for obese patients, which is of great importance given the increasing prevalence of obesity in today’s society.

A pulsed-plasma jet (called a "spark-jet" by other researchers), is a high-speed synthetic jet that is generated by striking an electrical discharge in a small cavity. The gas in the cavity pressurizes owing to the heating and is allowed to escape through a small orifice. A series of experiments were conducted to determine the characteristics of the pulsed-plasma jet issuing into stagnant air at a pressure of 45 Torr. These results show that typical jet exit velocities of about 250 m/s can be induced with discharge energies of about 30 mJ per jet. Furthermore, the maximum pulsing frequency was found to be about 5 kHz, because above this frequency the jet begins to misfire. The misfiring appears to be due to the finite time it takes for the cavity to be recharged with ambient air between discharge pulses. The velocity at the exit of the jet is found to be primarily dependent on the discharge current and independent of other discharge parameters such as cavity volume and orifice diameter. Temperature measurements are made using optical emission spectroscopy and reveal the presence of considerable non-equilibrium between rotational and vibrational modes. The gas heating efficiency was found to be 10% and this parameter is shown to have a direct effect on the plasma jet velocity. These results indicate that the pulsed-plasma jet creates a sufficiently strong flow perturbation that is holds great promise as a supersonic flow actuator. An experimental study is conducted to characterize the performance of a pulsed-plasma jet for potential use in supersonic flow control applications. To obtain an estimate of the relative strength of the pulsed-plasma jet, the jet is injected normally into a Mach 3 cross-flow and the penetration distance is measured by using schlieren imaging. These measurements show that the jet penetrates 1.5 [delta], where [delta] is the boundary layer thickness, into the cross-flow and the jet-to-crossflow momentum flux ratio is estimated to be 0.6. An array of pulsed-plasma jets was issued from different locations upstream of a 30-degree compression ramp in a Mach 3 flow. Furthermore, two different jet configurations were used: normal injection and pitched and skewed injection. The pitched and skewed configuration was used to see if the jets could act as high-bandwidth pulsed vortex generators. The interaction between the jets and the separation shock was studied using phase-locked schlieren imaging. Results show that the plasma jets cause a significant disturbance to the separation shock and clearly influence its unsteadiness. While all plasma jet configurations tested caused an upstream motion of the separation shock, pitched and skewed plasma jets caused an initial downstream shock motion before the upstream motion, demonstrating the potential use of these plasma jets as vortex generator jets. The effect of the plasma jet array on the separation shock unsteadiness is studied in a time-resolved manner by using 10 kHz schlieren imaging and fast-response wall pressure measurements. An array of three pulsed-plasma jets, in a pitched and skewed configuration, is used to force the unsteady motion of the interaction formed by a 24° compression ramp in a Mach 3 flow. The Reynolds number of the incoming boundary layer is Re[theta]=3300. Results show that when the pulsed jet array is placed upstream of the interaction, the jets cause the separation shock to move in a quasi-periodic manner, i.e., nearly in sync with the pulsing cycle. As the jet fluid convects across the separation shock, the shock responds by moving upstream, which is primarily due to the presence of hot gas and hence the lower effective Mach number of the incoming flow. Once the hot gases pass through the interaction, the separation shock recovers by moving downstream, and this recovery velocity is approximately 1% to 3% of the free stream velocity. With forcing, the low-frequency energy content of the pressure fluctuations at a given location under the intermittent region decreases significantly. This is believed to be a result of an increase in the mean scale of the interaction under forced conditions. Pulsed-jet injection are also employed within the separation bubble, but negligible changes to the separation shock motion were observed. These results indicate that influencing the dynamics of this compression ramp interaction is much more effective by placing the actuator in the upstream boundary layer. / text

Nanoparticles represent a very exciting new area of research. Their small size, ranging from several nanometers to tens of nanometers, is responsible for many changes in the structural, thermal, electromagnetic, optical and mechanical properties in comparison with the bulk solid of the same materials. However, promoting the use of such material requires well-controlled synthesis techniques to be developed. Inductively coupled thermal plasma (ICTP) reactors have been shown to offer unique advantages over other synthesis methods. The purpose of this thesis is to develop a numerical model to assist the design of an ICTP reactor for the efficient and controlled production of nanoparticles at industrial scale. The complete model describes the evaporation of the micron-sized precursor particles in the plasma flow and the subsequent formation of the nanoparticles in the quenching reactor. The plasma flow is described by a coupled system of the fluid mechanics equations of continuity, momentum, and energy with the vector potential formulation of Maxwell's equations. The solid particles precursors are treated following a Lagrangian approach, taking into account the vapor production field in the plasma flow. An Eulerian model based on the method of moments with interpolative closure is used to describe the formation of nanoparticles by simultaneous nucleation and growth by condensation and coagulation. The coupled plasma torch, particle evaporation and nanoparticle formation models are implemented in 2D and 3D configurations, using the OpenFoam source code. The results show that the effects of the particle evaporation on the temperature field are substantial, even for low particle mass loading. The associated vapor concentration which enters in the reactor has then a direct influence on the formation of nanoparticles. The effects of the plasma torch parameters and the quenching configuration (quench type, position, injection angle and cooling rate) on the contribution of the different formation mechanisms and on the generated particle's size and distribution are studied in both 2D axi-symmetric and 3D geometries. The quench mechanism strongly affects the temperature and the vapor concentration in the reactor, and consequently has an impact on the final particle size distribution. It is shown that the size of the nanoparticles obtained for different quenching conditions is not only a consequence of the cooling rate but also of the trajectories of the vapor and the generated particles imposed by quenching gas. The results have also demonstrated that the predicted particle are smaller and more sensitive to the modifications of the quenching condition when quenching at high temperature. The sensitivity of the complete model to the physical properties of the vapor (vapor pressure and surface tension) is also investigated, in order to identify their effect on the final particle size. The results obtained provide an insight into the phenomena involved during the production of nanoparticles and enable the improvement of ICTP rectors design and nanoparticles synthesis process. / Doctorat en Sciences de l'ingénieur et technologie / info:eu-repo/semantics/nonPublished