Laminar, two-dimensional, constant-property numerical simulations of flat tube heat exchanger devices operating in flow regimes in which self-sustained oscillations occur were performed. The unsteady flow regimes were transition flow regimes characterized by cyclic variations of flow parameters such as stream-wise or cross-stream velocity. A computer code was developed to perform the numerical simulations. Spatial discretization was based upon a Control Volume Finite Element Method (CVFEM). Temporal discretization was based upon a semi-implicit Runge-Kutta method. Double Cyclic conditions were used to limit the numerical domains to one repeating geometric module. Nine geometric domains representing flat tube heat exchanger devices were tested over a range of Reynolds numbers. A maximum Reynolds number (Re) of 2000 was established to keep the study within the transition range. For each domain, a critical Reynolds number (Re_crit) was found such that for Re < Re_crit the flow was steady, laminar flow and for Re > Re_crit the flow exhibited cyclic oscillations. For the cases tested, the variation in longitudinal pitch had little impact on the Re_crit value for a fixed transverse pitch. However, for a fixed longitudinal pitch, the Re_crit was increased for decreasing transverse pitch. The results demonstrate the importance of using unsteady simulation methods for these cases. Nusselt numbers predicted by the unsteady method were on the order of 65% higher than predicted by steady methods for the same Reynolds numbers. Data for required pumping power versus resultant Nusselt number were collected which showed four distinct operating regions for these devices spanning the low Reynolds number, steady flow region through the self-sustained oscillating flow region. Based on the data, the recommended operating region is the region of self-sustained oscillations as this region is characterized by the highest increase in Nusselt number per increase in required pumping power.

Hydrogen production from reforming bio-fuels is considered as one of the major ways of utilizing renewable energy sources. Conventionally, most reforming catalysts are noble metal catalysts with high operation temperature above 1000 °C, which result in low thermal efficiency, long start-up time and use of high grade materials. These reasons hinder the development of hydrogen production technology. Novel self-sustained electrochemical promotion (SSEP) catalysts were developed and evaluated for heavy hydrocarbon reforming at relatively low temperatures, 450 to 650 °C. Typically, the SSEP catalysts contain NiO/Ni/CuO/Cu/CeO2 as a selective anodic phase, La0.9Sr0.1MnO3 (LSM) as a selective cathodic phase, yttria stabilized zirconia (YSZ) as an oxygen ion conduction phase, and Ni/Cu also as an electronic conduction phase. The reforming performance of the SSEP catalysts was evaluated using a fixed bed reforming reactor for n-pentadecane. A commercially available noble metal containing catalyst, 2.4 %Pt on CeO2 support, was evaluated using exactly the same method. The following conclusions can be drawn as a consequence of this study: 1) The fuel conversion for the SSEP catalyst was 10 folds of that for the noble metal catalyst and the yield of hydrogen and carbon monoxide for the SSEP catalysts was 100 folds of that for the noble metal catalyst at 450°C. 2) The mechanism of the SSEP catalysts was proved by the experimental results. 3) The study of the effect of each component and the effect of the concentration clearly reveals that the performance of the SSEP catalysts can be further improved to a higher level by many ways. In addition, all the catalysts were characterized by X-ray diffraction (XRD), Scanning Electron Microscopy (SEM), Energy Dispersive Spectroscopy (EDS), Transmission Electron Microscopy (TEM) and Accelerated Surface Area and Porosimetry Analyzer 2020 (ASAP 2020).

O entendimento de como a informação é representada e processada no cérebro e quais são os mecanismos necessários para que isto seja possível é um dos grandes desafios da neurociência. A atividade populacional das células corticais possui dinâmica emergente bastante complexa, apresentando padrões auto-sustentados mesmo na ausência de estímulos externos. Esses padrões de atividade podem representar estados internos de auto-organização da rede neural cortical. Porém, quais características da rede cortical seriam essenciais para o entendimento deste tipo de atividade? Podemos elencar duas características fundamentais: a organização topológica da rede e as características dinâmicas das unidades funcionais da rede (os neurônios). Neste trabalho estudamos a influência da topologia e da dinâmica dos neurônios sobre a atividade auto-sustentada de dois modelos corticais diferentes. O primeiro modelo possui arquitetura hierárquica e modular construída segundo uma estratégia top-down. As simulações com este modelo mostram que criação hierárquica de módulos favorece a atividade auto-sustentada em concordância com trabalhos anteriores de outros autores. Também observamos que diferentes classes funcionais de neurônios influenciam de maneiras distintas a atividade auto-sustentada da rede. O segundo modelo possui arquitetura em camadas com regras intra- e inter-laminares específicas baseadas em dados anatômicos do córtex visual primário de gatos. As simulações com este modelo mostram um importante papel das condutâncias sinápticas excitatórias e inibitórias sobre o início da atividade auto-sustentada na rede, especialmente sobre a largura (intervalo de valores da condutância excitatória) da zona de transição entre as regiões com e sem atividade auto-sustentada no diagrama de condutâncias sinápticas. Conclui-se que a topologia da rede cortical e sua composição em termos de combinações de neurônios de diferentes tipos têm importante papel sobre a existência e as propriedades da atividade auto-sustentada na rede. / To understand how information is represented and processed in the brain and the necessary mechanisms for this is one of the major challenges in neuroscience. The population activity of cortical cells has complex and emergent dynamics, showing self-sustained activity patterns even in the absence of external stimuli. These activity patterns may represent internal self-organizing states of the cortical network. Which characteristics that make up the cortical network would be essential to understand this type of activity? We can list two basic characteristics: the topological organization of the network and the dynamic characteristics of its functional units (the neurons). In this work we studied the influence of topology and neuronal dynamics on self-sustained activity in two different cortical network models. The first model has hierarchical and modular architecture constructed according to a top-down strategy. Simulations with this model show that the hierarchical creation of modules favors self-sustained activity in agreement with results from other authors. We also observed that different functional neuronal classes influence in distict ways the self-sustained activity. The second model has a layered architecture with specific intra- and inter-laminar rules based on anatomical evidence from the primary visual cortex of cats. Simulations with this model show an important role of excitatory and inhibitory synaptic conductances on the beginning of self-sustained network activity, specially on the width of the border (range of excitatory conductance values) between regions with and without self-sustained activity in the excitatory-inhibitory synaptic conductances diagram. We conclude that network topology and its composition in terms of combinations of neurons with different dynamics have an important role on the existence and properties of self-sustained activity in the network.

Ziel dieser Arbeit ist die Überwindung einer Differenz, die zwischen der Theorie der Phase bzw. der Phasendynamik und ihrer Anwendung in der Zeitreihenanalyse besteht: Während die theoretische Phase eindeutig bestimmt und invariant unter Koordinatentransformationen bzw. gegenüber der jeweils gewählten Observable ist, führen die Standardmethoden zur Abschätzung der Phase aus gegebenen Zeitreihen zu Resultaten, die einerseits von den gewählten Observablen abhängen und so andererseits das jeweilige System keineswegs in eindeutiger und invarianter Weise beschreiben. Um diese Differenz deutlich zu machen, wird die terminologische Unterscheidung von Phase und Protophase eingeführt: Der Terminus Phase wird nur für Variablen verwendet, die dem theoretischen Konzept der Phase entsprechen und daher das jeweilige System in invarianter Weise charakterisieren, während die observablen-abhängigen Abschätzungen der Phase aus Zeitreihen als Protophasen bezeichnet werden. Der zentrale Gegenstand dieser Arbeit ist die Entwicklung einer deterministischen Transformation, die von jeder Protophase eines selbsterhaltenden Oszillators zur eindeutig bestimmten Phase führt. Dies ermöglicht dann die invariante Beschreibung gekoppelter Oszillatoren und ihrer Wechselwirkung. Die Anwendung der Transformation bzw. ihr Effekt wird sowohl an numerischen Beispielen demonstriert - insbesondere wird die Phasentransformation in einem Beispiel auf den Fall von drei gekoppelten Oszillatoren erweitert - als auch an multivariaten Messungen des EKGs, des Pulses und der Atmung, aus denen Phasenmodelle der kardiorespiratorischen Wechselwirkung rekonstruiert werden. Abschließend wird die Phasentransformation für autonome Oszillatoren auf den Fall einer nicht vernachlässigbaren Amplitudenabhängigkeit der Protophase erweitert, was beispielsweise die numerischen Bestimmung der Isochronen des chaotischen Rössler Systems ermöglicht. / The aim of this work is to bridge the gap between the theoretical description of the phase dynamics of coupled oscillators and the application of the theory to model reconstruction from time series analysis. In the theory, the phase of a self-sustained oscillator is defined in an unambiguous way, whereas the standard techniques used to estimate phases from given time series provide observabledependent results, so that generally these estimates deviate from the true phase. To stress this crucial issue, we term the observable-dependent phase-like variables as protophases. The main goal of this work is to develop a deterministic transformation from arbitrary protophases to the true, unique phase of the selfsustained oscillator. This approach allows us to obtain an invariant description of coupled oscillators and of their interaction. The application of the transformation and its efficiency are illustrated by means of numerical examples, as well as by the reconstruction of phase models of the cardiorespiratory interaction from multivariate time series of ECG, pulse and respiration. Next, the transformation from protophases to phases is extended for the case of three coupled oscillators. Finally, we go beyond the phase approximation and extend the phase transformation for autonomous oscillators to the case when the amplitude dynamics cannot be neglected. This technique for example allows us to compute numerically the isochrones of the chaotic Roessler system.

Thermo-acoustic instabilities in combustion chambers are generated by the interactions between a flame and the combustor acoustics, leading to a resonant coupling. These self-sustained oscillations may be observed in many practical systems such as domestic boilers, industrial furnaces, gas turbines or rocket engines. Although this phenomenon has already been the topic of many investigations, there is yet no generalized robust framework to predict the onset of these self-sustained oscillations and to determine the evolution of the flow variables within the combustor during unstable operation. This work builds on previous models and experiments to improve the description of the response of laminar conical flames to flow perturbations and the prediction of thermoacoustic instability in burners operating with conical flames. In the first part of the manuscript, an extensive review of conical flame dynamics modeling is undertaken and a general framework for the modeling of their Flame Transfer Function (FTF) is presented. The experimental setup and the diagnostics used to characterize their response to flow disturbances are then described. They are used to measure the FTF when the flames are submitted to harmonic flow perturbations. A novel experimental technique is also proposed to control the flow perturbation level at the burner outlet. It enables to modulate the flow with random white noise perturbations and to measure the FTF with a better frequency resolution. Results with this alternative technique compare well with results from the classical method using harmonic signals for small disturbances. Limits of this technique are also highlighted when the perturbation level increases. Different analytical expressions for the FTF of conical flames are derived in the second part of the thesis by progressively introducing more physics into the models. Models based on convected flow disturbances are extended by taking into account the incompressible nature of the perturbed velocity field. It is shown that the prediction of the FTF phase lag of a conical flame is greatly improved and collapses well with measurements. Then, a thorough investigation of the flame base dynamics interacting with the anchoring device is conducted by considering unsteady heat loss from the flame to the burner. This mechanism is shown to drive the motion of the flame base and the flame dynamics at high frequencies. It is also shown that this contribution to the FTF rules the high frequency behavior of the FTF as well as the nonlinear evolution of the FTF when the perturbation level increases. Finally, an analysis is conducted on the dynamics of a single conical flame placed into cylindrical flame tubes featuring different diameters. It is shown that confinement effects need to be taken into account when the burnt gases cannot fully expand. Large differences are observed between FTF measured for different confinement tube diameters. A new dimensionless number is derived to take these effects into account and make all the FTF collapse on a single curve. These different models are then used to model the response of a collection of small conical flames stabilized on a perforated plate. It is shown that by sorting out the different contributing mechanisms to the FTF, the expressions proposed in this work may be combined to capture the main behavior and correct phase lag evolution of these flames in the frequency range of interest for thermo-acoustic instability prediction.

In this study, forced convection cooling of package of 2-D parallel boards with heat generating chips is investigated. The main objective of this study is to determine the optimal board-to-board spacing to maintain the temperature of the components below the allowable temperature limit and maximize the rate of heat transfer from parallel heat generating boards cooled by forced convection under constant pressure drop across the package. Constant heat flux and constant wall temperature boundary conditions on the chips are applied for laminar and turbulent flows. Finite elements method is used to solve the governing continuity, momentum and energy equations. Ansys-Flotran computational fluid dynamics solver is utilized to obtain the numerical results. The solution approach and results are compared with the experimental, numerical and theoretical results in the literature. The results are presented for both the laminar and turbulent flows. Laminar flow results improve existing relations in the literature. It introduces the effect of chip spacing on the optimum board spacing and corresponding maximum heat transfer. Turbulent flow results are original in the sense that a complete solution of turbulent flow through the boards with discrete heat sources with constant temperature and constant heat flux boundary conditions are obtained for the first time. Moreover, optimization of board-to-board spacing and maximum heat transfer rate is introduced, including the effects of chip spacing.

Les instabilités thermo-acoustiques présentes dans les chambres de combustion sont générées par des interactions entre une flamme et l’acoustique du foyer. Ces oscillations auto-entretenues peuvent être observées dans de nombreux systèmes industriels tels que des chaudières domestiques, des fours industriels, des turbines à gaz ou des moteurs fusée. Bien que ce phénomène ait fait l’objet de nombreux travaux, il n’existe toujours pas de cadre d’étude assez général et robuste pour prédire le déclenchement de ces oscillations auto-entretenues et pour déterminer l’évolution des variables de l’écoulement à l’intérieur de la chambre de combustion. Ce travail s’appuie à la fois sur des modèles et des expériences. L’objectif est d’améliorer la description de la réponse de flammes coniques laminaires prémélangées à des perturbations de l’écoulement et les prédictions d’instabilités thermo-acoustiques dans des foyers alimentés par des flammes coniques. Dans la première partie du manuscrit, une revue des modèles décrivant la dynamique de flammes coniques est entreprise et un cadre général d’étude pour la modélisation de la Fonction de Transfert de Flamme (FTF) est présenté. Le dispositif expérimental ainsi que les diagnostics utilisés sont ensuite décrits. Ces systèmes sont utilisés pour mesurer la FTF de flammes coniques laminaires prémélangées soumises à des perturbations harmoniques de l’écoulement. Une nouvelle technique expérimentale est proposée pour contrôler les perturbations de l’écoulement à la sortie du brûleur. Elle est utilisée pour moduler l’écoulement avec un bruit blanc aléatoire et déterminer la FTF avec une résolution fréquentielle bien meilleure. Pour de faibles niveaux d’excitation, les résultats obtenus avec cette technique sont en accord avec ceux obtenus par la méthode classique utilisant des perturbations harmoniques. Les limites de cette technique sont décrites lorsque le niveau de perturbation augmente. Plusieurs expressions analytiques de la FTF de flammes coniques sont établies dans la seconde partie de cette thèse en introduisant progressivement plus de phénomènes physiques dans le modèle. Les modèles basés sur des perturbations convectées par l’écoulement sont étendus en tenant compte de la nature incompressible du champ de perturbation de vitesse. La prévision de la phase de la FTF de flamme conique est améliorée et présente un bon accord avec les mesures. Ensuite, une étude détaillée des interactions de la base de la flamme avec le bord du brûleur est conduite en tenant compte des pertes thermiques instationnaires de la flamme vers le brûleur. Ce mécanisme contrôle le mouvement de la base de la flamme et la dynamique de flamme à haute fréquence. Cette contribution à la FTF détermine le comportement haute fréquence de la FTF ainsi que l’évolution non-linéaire de la FTF lorsque le niveau de perturbation augmente. Enfin, une analyse de la dynamique des flammes coniques est entreprise pour des flammes placées dans des tubes de différents diamètres. Il est montré que les effets de confinement doivent être pris en compte lorsque les gaz brûlés ne peuvent se dilater complètement. Des différences importantes sont observées entre des FTF mesurées pour des tubes de confinement de diamètres différents. Un nouveau nombre sans dimension est établi pour prendre en compte ces effets. Ces différents modèles sont ensuite utilisés pour modéliser la réponse d’une collection de petites flammes coniques stabilisées sur une plaque perforée. Il est montré qu’une combinaison de ces modèles permet de capturer le comportement de ces flammes ainsi que l’évolution de la phase de la FTF couvrant le spectre fréquentiel pertinent pour la prédiction d’instabilités thermo-acoustiques. / Thermo-acoustic instabilities in combustion chambers are generated by the interactions between a flame and the combustor acoustics, leading to a resonant coupling. These self-sustained oscillations may be observed in many practical systems such as domestic boilers, industrial furnaces, gas turbines or rocket engines. Although this phenomenon has already been the topic of many investigations, there is yet no generalized robust framework to predict the onset of these self-sustained oscillations and to determine the evolution of the flow variables within the combustor during unstable operation. This work builds on previous models and experiments to improve the description of the response of laminar conical flames to flow perturbations and the prediction of thermoacoustic instability in burners operating with conical flames. In the first part of the manuscript, an extensive review of conical flame dynamics modeling is undertaken and a general framework for the modeling of their Flame Transfer Function (FTF) is presented. The experimental setup and the diagnostics used to characterize their response to flow disturbances are then described. They are used to measure the FTF when the flames are submitted to harmonic flow perturbations. A novel experimental technique is also proposed to control the flow perturbation level at the burner outlet. It enables to modulate the flow with random white noise perturbations and to measure the FTF with a better frequency resolution. Results with this alternative technique compare well with results from the classical method using harmonic signals for small disturbances. Limits of this technique are also highlighted when the perturbation level increases. Different analytical expressions for the FTF of conical flames are derived in the second part of the thesis by progressively introducing more physics into the models. Models based on convected flow disturbances are extended by taking into account the incompressible nature of the perturbed velocity field. It is shown that the prediction of the FTF phase lag of a conical flame is greatly improved and collapses well with measurements. Then, a thorough investigation of the flame base dynamics interacting with the anchoring device is conducted by considering unsteady heat loss from the flame to the burner. This mechanism is shown to drive the motion of the flame base and the flame dynamics at high frequencies. It is also shown that this contribution to the FTF rules the high frequency behavior of the FTF as well as the nonlinear evolution of the FTF when the perturbation level increases. Finally, an analysis is conducted on the dynamics of a single conical flame placed into cylindrical flame tubes featuring different diameters. It is shown that confinement effects need to be taken into account when the burnt gases cannot fully expand. Large differences are observed between FTF measured for different confinement tube diameters. A new dimensionless number is derived to take these effects into account and make all the FTF collapse on a single curve. These different models are then used to model the response of a collection of small conical flames stabilized on a perforated plate. It is shown that by sorting out the different contributing mechanisms to the FTF, the expressions proposed in this work may be combined to capture the main behavior and correct phase lag evolution of these flames in the frequency range of interest for thermo-acoustic instability prediction.

O entendimento de como a informação é representada e processada no cérebro e quais são os mecanismos necessários para que isto seja possível é um dos grandes desafios da neurociência. A atividade populacional das células corticais possui dinâmica emergente bastante complexa, apresentando padrões auto-sustentados mesmo na ausência de estímulos externos. Esses padrões de atividade podem representar estados internos de auto-organização da rede neural cortical. Porém, quais características da rede cortical seriam essenciais para o entendimento deste tipo de atividade? Podemos elencar duas características fundamentais: a organização topológica da rede e as características dinâmicas das unidades funcionais da rede (os neurônios). Neste trabalho estudamos a influência da topologia e da dinâmica dos neurônios sobre a atividade auto-sustentada de dois modelos corticais diferentes. O primeiro modelo possui arquitetura hierárquica e modular construída segundo uma estratégia top-down. As simulações com este modelo mostram que criação hierárquica de módulos favorece a atividade auto-sustentada em concordância com trabalhos anteriores de outros autores. Também observamos que diferentes classes funcionais de neurônios influenciam de maneiras distintas a atividade auto-sustentada da rede. O segundo modelo possui arquitetura em camadas com regras intra- e inter-laminares específicas baseadas em dados anatômicos do córtex visual primário de gatos. As simulações com este modelo mostram um importante papel das condutâncias sinápticas excitatórias e inibitórias sobre o início da atividade auto-sustentada na rede, especialmente sobre a largura (intervalo de valores da condutância excitatória) da zona de transição entre as regiões com e sem atividade auto-sustentada no diagrama de condutâncias sinápticas. Conclui-se que a topologia da rede cortical e sua composição em termos de combinações de neurônios de diferentes tipos têm importante papel sobre a existência e as propriedades da atividade auto-sustentada na rede. / To understand how information is represented and processed in the brain and the necessary mechanisms for this is one of the major challenges in neuroscience. The population activity of cortical cells has complex and emergent dynamics, showing self-sustained activity patterns even in the absence of external stimuli. These activity patterns may represent internal self-organizing states of the cortical network. Which characteristics that make up the cortical network would be essential to understand this type of activity? We can list two basic characteristics: the topological organization of the network and the dynamic characteristics of its functional units (the neurons). In this work we studied the influence of topology and neuronal dynamics on self-sustained activity in two different cortical network models. The first model has hierarchical and modular architecture constructed according to a top-down strategy. Simulations with this model show that the hierarchical creation of modules favors self-sustained activity in agreement with results from other authors. We also observed that different functional neuronal classes influence in distict ways the self-sustained activity. The second model has a layered architecture with specific intra- and inter-laminar rules based on anatomical evidence from the primary visual cortex of cats. Simulations with this model show an important role of excitatory and inhibitory synaptic conductances on the beginning of self-sustained network activity, specially on the width of the border (range of excitatory conductance values) between regions with and without self-sustained activity in the excitatory-inhibitory synaptic conductances diagram. We conclude that network topology and its composition in terms of combinations of neurons with different dynamics have an important role on the existence and properties of self-sustained activity in the network.

The excitation mechanism of trapped diametral acoustic modes within a rectangular cavity-duct system is investigated both numerically and experimentally. The asymmetry inherent within the rectangular geometry introduces a preferred orientation, ensuring the excited diametral modes remain stationary. Three separate cavities are manufactured and tested. This included two asymmetric rectangular cross-sections and one symmetric square cavity. Experimental results indicate that the aeroacoustic responses of the three cavities are dominated by the strong excitation of trapped diametral modes. Numerical simulations indicate that the resolved radial acoustic particle velocity distributions are non-uniform at the upstream separation edge where the formation of vortical structures is initiated. As the cavity became smaller, and more asymmetric, the trapped nature of the acoustic modes decreased with an accompanied increase in the radiation losses and reduction in pulsation amplitude. Observations of the aeroacoustic measurements show evidence of three unique modal behaviours. The first case is the independent excitation of a single stationary mode where specific circumferential sections of the shear layer were excited and initiating the formation of vortical disturbances. These circumferential sections, and distribution of disturbances, were akin to the excited mode shape. The second case involved simultaneous excitation of two stationary modes. This suggested that the shear layer was exciting two modes simultaneously. Neighbouring circumferential sections, at the initial region of the shear layer, were being excited independently and at different resonant frequencies. Finally, a spinning trapped acoustic mode was observed in the symmetric square cavity. Due to the spinning nature, the excited circumferential portions and formation of vortices were non-uniform and rotated with the spinning acoustic mode. This resulted in the formation of a three-dimensional helical structure. / Thesis / Master of Applied Science (MASc)

Aeroacoustic whistles are a significant source of customer complaints to automotive manufacturers. Whistles can occur on many such components, but the relative position and configuration of rearview mirrors means they are a more problematic source of tonal noise on vehicles. The low subsonic complex turbulent flow, combined with small cavity scales, determines the possible whistle mechanisms. The one considered to be most problematic, fluid-dynamic cavity resonance, is the topic of this research thesis. The research scope is limited to the automotive environment of external rearview mirrors and the fluid-dynamic resonance mechanism: low subsonic Mach number, M = 0.05 - 0.13; laminar boundary layers; and two-dimensional, acoustically compact cavities. The low unit-cost of rearview mirrors and the desire to have simple identification and prediction schemes, that could be used by production engineers, determined an empirical approach. A search of the existing literature revealed that there were some data on cavities of the above scale in low Mach number flow, but quoted errors in empirical descriptions were large and there was very little research on the effects of flow yaw angle on the chosen resonance mechanism. The research therefore aims to determine whether existing empirical descriptions of fluid-dynamic cavity resonance are suitable for the prediction of the resonance characteristics, with sufficient accuracy to enable unambiguous identification of the presence of the resonance and its mechanism. A second aim is to investigate the effects of a feature of the automotive flow environment, flow yaw angle, on the resonance. Flow yaw angle is determined by those components of the flow in the same plane as the surface in which the cavity is situated. An experimental program was undertaken using a purpose-built aeroacoustic wind tunnel and a simple cavity model. Testing with two types of cavity configurations, as well as flow visualisation, investigated the main features of the resonance in time-averaged yawed flow. Within the scope of this thesis, it is shown that fluid-dynamic cavity resonance characteristics can be accurately identified by a simple empirical model, even in yawed flow. Various descriptors allow identification of the resonance threshold, stage, frequency and relative amplitude in non-yawed flow, while the frequency and stage can also be identified in yawed flow. The relative decrease in resonance amplitude in yawed flow, although identified for these experiments, would depend on the degree of spanwise variation in the boundary layer characteristics for a given cavity configuration. The results also identify significant issues with testing in a free jet tunnel, due to the nature of fluid-dynamic cavity resonance and the fluctuation energy content in free shear layers. Despite this, the thesis aims are achieved, and appropriate design guidelines are produced for automotive designers.