<p>A self‐consistent model for non‐partitioning planar ferrite growth from alloyed austenite is developed. The model captures the evolution with time of interfacial contact conditions for substitutional and interstitial solutes. Substitutional element solute drag is evaluated in terms of the dissipation of free energy within the interface, and an estimate is provided for the rate of buildup of the alloying element ‘‘spike’’ in austenite. The transport of the alloying elements within the interface region is modeled using a discrete‐jump model, while the bulk diffusion of C is treated using a standard continuum treatment.</p> <p>The model is validated against ferrite precipitation and decarburization kinetics in the Fe‐Ni‐C, Fe‐Mn‐C, Fe‐Mo‐C, Fe‐Si‐C, Fe‐Cr‐C and Fe‐Cu‐C systems.</p> / Doctor of Philosophy (PhD)

Orientation Device is a tool for understanding the other towards recognizing alternative possibilities, for care and compassion, for expanding our culturally and politically bounded mindset, a tool of vital nausea and questioning compulsory heterosexuality. The work is a series of augmented reality (AR) experiences for mobile device that allow the audience to participate in documentary queer performances in any private or public setting. These immersive experiences challenge our perception of space. The LGBTQIA+ community is often disoriented within heteronormative spaces, and this work reverses that dichotomy by disorienting the audience. As a cisgender creator, I invite queer performers, artists, poets, and thinkers who express their identity in their creative practices. As the AR medium is widely distributable, I want to give the participants the potential opportunity to present themselves to a wide international audience through the poetics of augmented reality and documentary video holograms. / Master of Fine Arts / ORIENTATION DEVICE: poiesis of documentary volumetric video for augmented reality; location-aware interactive mise-en-scène; applied queer phenomenology; the potential of procedural worldmaking in the future

Modelling solid-fluid multiphase flows are crucial to many applications such as fluidized beds, pyrolysis and gasification, catalytic cracking etc. Accurate modelling of the fluid-particle forces is essential for lab-scale and industry-scale simulations. Fluid-particle system solutions can be obtained using various techniques including the macro-scale TFM (Two fluid model), the meso-scale CFD-DEM (CFD - Discrete Element Method) and the micro-scale PRS (Particle Resolved Simulation method). As the simulation scale decreases, accuracy increases but with an exponential increase in computational time. Since fluid forces have a large impact on the dynamics of the system, this study trains deep learning models using micro-scale PRS data to predict drag forces on ellipsoidal particle suspensions to be applied to meso-scale and macro-scale models. Two different deep learning methodologies are employed, multi-layer perceptrons (MLP) and 3D convolutional neural networks (CNNs). The former trains on the mean characteristics of the suspension including the Reynolds number of the mean flow, the solid fraction of the suspension, particle shape or aspect ratio and inclination to the mean flow direction, while the latter trains on the 3D spatial characterization of the immediate neighborhood of each particle in addition to the data provided to the MLP. The trained models are analyzed and compared on their ability to predict three different drag force values, the suspension mean drag which is the mean drag for all the particles in a given suspension, the mean orientation drag which is the mean drag of all particles at specific orientations to the mean flow, and finally the individual particle drag. Additionally, the trained models are also compared on their ability to test on data sets that are excluded/hidden during the training phase. For instance, the deep learning models are trained on drag force data at only a few values of Reynolds numbers and tested on an unseen value of Reynolds numbers. The ability of the trained models to perform extrapolations over Reynolds number, solid fraction, and particle shape to predict drag forces is presented. The results show that the CNN performs significantly better compared to the MLP in terms of predicting both suspensions mean drag force and also mean orientation drag force, except a particular case of extrapolation where the MLP does better. With regards to predicting drag force on individual particles in the suspension the CNN performs very well when extrapolated to unseen cases and experiments and performs reasonably well when extrapolating to unseen Reynolds numbers and solid fractions. / M.S. / Multiphase solid-fluid flows are ubiquitous in various industries like pharmaceuticals (tablet coating), agriculture (grain drying, grain conveying), mining (oar roasting, mineral conveying), energy (gasification). Accurate and time-efficient computational simulations are crucial in developing and designing systems dealing with multiphase flows. Particle drag force calculations are very important in modeling solid-fluid multiphase flows. Current simulation methods used in the industry such as two-fluid models (TFM) and CFD-Discrete Element Methods (CFD-DEM) suffer from uncertain drag force modeling because these simulations do not resolve the flow field around a particle. Particle Resolved Simulations (PRS) on the other hand completely resolve the fluid flow around a particle and predict very accurate drag force values. This requires a very fine mesh simulation, thus making PRS simulations many orders more computationally expensive compared to the CFD-DEM simulations. This work aims at using deep learning or artificial intelligence-based methods to improve the drag calculation accuracy of the CFD-DEM simulations by learning from the data generated by PRS simulations. Two different deep learning models have been used, the Multi-Layer Perceptrons(MLP) and Convolutional Neural Networks(CNN). The deep learning models are trained to predict the drag forces given a particle's aspect ratio, the solid fraction of the suspension it is present in, and the Reynolds number of the mean flow field in the suspension. Along with the former information the CNN, owing their ability to learn spatial data better is additionally provided with a 3D image of particles' immediate neighborhood. The trained models are analyzed on their ability to predict drag forces at three different fidelities, the suspension mean drag force, the orientation mean drag, and the individual particle drag. Additionally, the trained models are compared on their abilities to predict unseen datasets. For instance, the models would be trained on particles of an aspect ratio of 10 and 5 and tested on their ability to predict drags of particles of aspect ratio 2.5. The results show that the CNN performs significantly better compared to the MLP in terms of predicting both suspension mean drag force and also mean orientation drag force, except a particular case of extrapolation where the MLP does better. With regards to predicting drag force on individual particles in the suspension, the CNN performs very well when extrapolated to unseen cases and experiments and performs reasonably well when extrapolating to unseen Reynolds numbers and solid fractions.

Tranny Muse is a poetry collection that interrogates personal, historical, and socio-cultural genealogies, functioning as both a record and an archive. As the speaker of these poems, I explore my life thus far: from growing up Mormon and coming out as gay and trans/nonbinary to performing in drag and finding new forms for home and community. The collection, organized by books of prose and lineated poems, enacts yet queers traditional genre conventions by transgressing their boundaries as I wrestle with finding form for desire, ethics, trauma, and dis/eu-phoria. / Master of Fine Arts / Tranny Muse is a poetry collection.

<p dir="ltr">This article-based research traces the evolution and advancements of vehicular aerodynamic concepts and emphasizes on the significance of vehicle aerodynamics for high-performance vehicles. The thesis further explores the scope of integrating advanced vehicle aerodynamic concepts into consumer vehicles. The thesis aims to point out the significant improvements achieved with the integration of active aerodynamic concepts in terms of both vehicle performance as well as efficiency figures for consumer vehicles. Additionally, exploring the scope for the development of these advanced active aerodynamic systems as third-party modifications is the secondary objective of the presented research. The thesis also highlights the development and integration of unique active aerodynamic systems featured in performance vehicles and analyzes the performance gains achieved using MATLAB program-based simulations supported by a graphical representation of analyzed output data. The study of Active aerodynamic systems for both performance/track-oriented and consumer vehicles remains to be the primary emphasis for the presented thesis.</p>

In the present study the results of investigations on polycrystalline MgB2 and on single crystals of YNi2B2C and HoNi2B2C are presented. In particular, measurementes of specific electrical resistance, thermal conductivity, thermoelectric power, and of the linear thermal expansion coefficient were performed. Moreover, the specific heat of polycristalline borocarbide samples was evaluated. From the measured data, the temperature dependencies of the Lorenz number and of the Grueneisen parameter can be determined, also the pressure dependence of the superconducting transition temperature using the Ehrenfest relation. At low temperatures a characteristic deviation of the resistivity from the Bloch-Grueneisen law in the normal state for all investigated substances was observed. A reentrant behaviour in resistivity and thermoelectric power occurs at the antiferromagnetic phase transition of HoNi2B2C. The thermal conductivity of MgB2 below 7 K is dominated by the scattering of phonons at grain boundaries. The absence of both, a maximum of thermal conductivity in the superconducting state, and the change of its slope at the superconducting transition temperature points to the validity of the two-band model that also describes the temperature dependence of specific heat. Measurements of thermoelectric power confirm the different normal-state character of the charge carriers of the investigated superconductors. Diffusion thermopower and phonon drag describe the measured data of all investigated compounds ov a wide range of temperature. The thermal expansion of HoNi2B2C below 10 K is dominated by the magnetic contribution. For all investigated substances the Grueneisen parameter features very large values in selected temperature ranges. In the case of MgB2, its temperature dependence is evidently connected with the properties of the relevant phonon mode. For the borocarbides, the electrical resistance depends very weakly on the crystallographic direction, but in contrast the thermal conductivity does in a quite strong manner. Despite of the antiferromagnetic phase transition in the case of HoNi2B2C, thermoelectric power and thermal expansion show minor anisotropy. / In der vorliegenden Arbeit werden Ergebnisse von Untersuchungen an polykristallinem MgB2 sowie an YNi2B2C- und HoNi2B2C-Einkristallen analysiert. Dafür erfolgten Messungen des spezifischen elektrischen Widerstands, der Wärmeleitfähigkeit, der Thermokraft und des linearen thermischen Ausdehnungskoeffizienten. Zudem wurde die spezifische Wärmekapazität polykristalliner Borkarbide bestimmt und aus den erhaltenen Daten die Temperaturabhängigkeit der Lorenz-Zahl und des Grüneisen-Parameters sowie mittels der Ehrenfest-Relation die Druckabhängigkeit der Sprungtemperatur ermittelt. Bei tiefen Temperaturen findet man im normalleitenden Zustand für alle betrachteten Substanzen ein charakteristisches Abweichen des Widerstands vom Bloch-Grüneisen-Gesetz. Bei HoNi2B2C tritt beim antiferromagnetischen Phasenübergang im Widerstand und in der Thermokraft ein reentrant-Verhalten auf. Die thermische Leitfähigkeit von MgB2 wird unterhalb von 7 K durch die Streuung der Phononen an Korngrenzen bestimmt. Das Fehlen eines Maximums in der Wärmeleitfähigkeit im supraleitenden Zustand und einer Anstiegsänderung bei der Sprungtemperatur liefert einen Hinweis auf die Gültigkeit des Zweibandmodells, mit welchem auch der Temperaturverlauf der Wärmekapazität erklärt werden kann. Messungen der Thermokraft bestätigen den unterschiedlichen Charakter der Ladungsträger im normalleitenden Zustand der untersuchten Supraleiter, wobei Elektronendiffusion und Phonon Drag die Messdaten aller betrachteten Verbindungen in weiten Temperaturbereichen beschreiben. Für HoNi2B2C wird die thermische Ausdehnung unterhalb von 10 K durch den Beitrag der magnetischen Ordnung bestimmt. Der Grüneisen-Parameter weist für alle untersuchten Substanzen in Teilbereichen sehr große Beträge auf. Sein Temperaturverlauf hängt bei MgB2 offenbar mit Eigenschaften der maßgeblichen Phononenmode zusammen. Für die Borkarbide ist die Richtungsabhängigkeit des elektrischen Widerstandes sehr schwach, in der Wärmeleitfähigkeit hingegen recht stark ausgeprägt. Abgesehen vom antiferromagnetischen Phasenübergang bei HoNi2B2C weisen Thermokraft und Ausdehnungskoeffizient eine geringe Anisotropie auf.

In the present study the results of investigations on polycrystalline MgB2 and on single crystals of YNi2B2C and HoNi2B2C are presented. In particular, measurementes of specific electrical resistance, thermal conductivity, thermoelectric power, and of the linear thermal expansion coefficient were performed. Moreover, the specific heat of polycristalline borocarbide samples was evaluated. From the measured data, the temperature dependencies of the Lorenz number and of the Grueneisen parameter can be determined, also the pressure dependence of the superconducting transition temperature using the Ehrenfest relation. At low temperatures a characteristic deviation of the resistivity from the Bloch-Grueneisen law in the normal state for all investigated substances was observed. A reentrant behaviour in resistivity and thermoelectric power occurs at the antiferromagnetic phase transition of HoNi2B2C. The thermal conductivity of MgB2 below 7 K is dominated by the scattering of phonons at grain boundaries. The absence of both, a maximum of thermal conductivity in the superconducting state, and the change of its slope at the superconducting transition temperature points to the validity of the two-band model that also describes the temperature dependence of specific heat. Measurements of thermoelectric power confirm the different normal-state character of the charge carriers of the investigated superconductors. Diffusion thermopower and phonon drag describe the measured data of all investigated compounds ov a wide range of temperature. The thermal expansion of HoNi2B2C below 10 K is dominated by the magnetic contribution. For all investigated substances the Grueneisen parameter features very large values in selected temperature ranges. In the case of MgB2, its temperature dependence is evidently connected with the properties of the relevant phonon mode. For the borocarbides, the electrical resistance depends very weakly on the crystallographic direction, but in contrast the thermal conductivity does in a quite strong manner. Despite of the antiferromagnetic phase transition in the case of HoNi2B2C, thermoelectric power and thermal expansion show minor anisotropy. / In der vorliegenden Arbeit werden Ergebnisse von Untersuchungen an polykristallinem MgB2 sowie an YNi2B2C- und HoNi2B2C-Einkristallen analysiert. Dafür erfolgten Messungen des spezifischen elektrischen Widerstands, der Wärmeleitfähigkeit, der Thermokraft und des linearen thermischen Ausdehnungskoeffizienten. Zudem wurde die spezifische Wärmekapazität polykristalliner Borkarbide bestimmt und aus den erhaltenen Daten die Temperaturabhängigkeit der Lorenz-Zahl und des Grüneisen-Parameters sowie mittels der Ehrenfest-Relation die Druckabhängigkeit der Sprungtemperatur ermittelt. Bei tiefen Temperaturen findet man im normalleitenden Zustand für alle betrachteten Substanzen ein charakteristisches Abweichen des Widerstands vom Bloch-Grüneisen-Gesetz. Bei HoNi2B2C tritt beim antiferromagnetischen Phasenübergang im Widerstand und in der Thermokraft ein reentrant-Verhalten auf. Die thermische Leitfähigkeit von MgB2 wird unterhalb von 7 K durch die Streuung der Phononen an Korngrenzen bestimmt. Das Fehlen eines Maximums in der Wärmeleitfähigkeit im supraleitenden Zustand und einer Anstiegsänderung bei der Sprungtemperatur liefert einen Hinweis auf die Gültigkeit des Zweibandmodells, mit welchem auch der Temperaturverlauf der Wärmekapazität erklärt werden kann. Messungen der Thermokraft bestätigen den unterschiedlichen Charakter der Ladungsträger im normalleitenden Zustand der untersuchten Supraleiter, wobei Elektronendiffusion und Phonon Drag die Messdaten aller betrachteten Verbindungen in weiten Temperaturbereichen beschreiben. Für HoNi2B2C wird die thermische Ausdehnung unterhalb von 10 K durch den Beitrag der magnetischen Ordnung bestimmt. Der Grüneisen-Parameter weist für alle untersuchten Substanzen in Teilbereichen sehr große Beträge auf. Sein Temperaturverlauf hängt bei MgB2 offenbar mit Eigenschaften der maßgeblichen Phononenmode zusammen. Für die Borkarbide ist die Richtungsabhängigkeit des elektrischen Widerstandes sehr schwach, in der Wärmeleitfähigkeit hingegen recht stark ausgeprägt. Abgesehen vom antiferromagnetischen Phasenübergang bei HoNi2B2C weisen Thermokraft und Ausdehnungskoeffizient eine geringe Anisotropie auf.

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This study aims to acquire knowledge about the concept of drag storytimes in public libraries. It addresses research questions regarding their relation to the libraries' mission, as well as associated experiences with and perceptions of these events. The study adopts a qualitative approach, utilizing interviews with different stakeholders, alongside non-participatory observation, as well as media and social media analysis. The theoretical frameworks of agonistic pluralism and visibility are employed.  Findings show that drag storytimes promote accessibility, representation, and acceptance of diversity, aligning with libraries' democratic mission. They also bridge the gap between the art form drag and literature, serving as a means for libraries to encourage and facilitate children's reading. Findings also highlight misconceptions and misrepresentations of drag storytimes in media and public discourse. While libraries have encountered challenges and resistance when hosting drag storytimes, they have also received significant appreciation and support. Resistance is based on concerns about sexualization, indoctrination and unsuitability for children. These concerns are addressed with observations and interviews, which refute these notions.  This study finds that the purpose of drag storytimes lies in promoting reading and providing entertaining experiences for children, emphasizing their child-centric nature. Opinions and perceptions influenced by adults' perspectives, biases, and fears impact the power dynamics among libraries, the public, and politics. This study underscores the challenges faced by libraries in this dynamic and emphasizes their resilience. It underlines the importance of information dissemination, communication, and destigmatization of drag and drag storytimes. By engaging in open conversations, librarians can address misconceptions, confront prejudices, and broaden perspectives.

Due to the increase of rotor size in horizontal axis wind turbine (HAWT) during the past 25 years in order to achieve higher power output, all wind turbine components and blades in particular, have to withstand higher structural loads. This upscalingproblem could be solved by applying technologies capable of reducing aerodynamic loads the rotor has to withstand, either with passive or active control solutions. These control devices and techniques can reduce the fatigue load upon the blades up to 40% and therefore less maintenance is needed, resulting in an important money savings for the wind farm manager. This project consists in a study of load control techniques for offshore wind turbines from an aerodynamic and aeroelastic point ofview, with the aim to assess a cost effective, robust and reliable solution which could operate maintenance free in quite hostile environments. The first part of this study involves 2D and 3D aerodynamic and aeroelastic simulations to validate the computational model with experimental data and to analyze the interaction between the fluid and the structure. The second part of this study is an assessment of the unsteady aerodynamic loads produced by a wind gust over the blades and to verify how a trailing edge flap would influence the aerodynamic control parameters for the selected wind turbine blade. / På grund av ökningen av rotorstorleken hos horisontella vindturbiner (HAWT) under de senaste 25 åren, en design som har uppstod för att uppnå högre effekt, måste alla vindkraftkomponenter och blad stå emot högre strukturella belastningar. Detta uppskalningsproblem kan lösas genom att använda metoder som kan minska aerodynamiska belastningar som rotorn måste tåla, antingen med passiva eller aktiva styrlösningar. Dessa kontrollanordningar och tekniker kan minska utmattningsbelastningen på bladen med upp till 40 % och därför behövs mindre underhåll, vilket resulterar i viktiga besparingar för vindkraftsägaren. Detta projekt består av en studie av lastkontrolltekniker för havsbaserade vindkraftverk ur en aerodynamisk och aeroelastisk synvinkel, i syfte att bedöma en kostnadseffektiv, robust och pålitlig lösning som kan fungera underhållsfri i tuffa miljöer. Den första delen av denna studie involverar 2D- och 3D-aerodynamiska och aeroelastiska simuleringar för att validera beräkningsmodellen med experimentella data och för att analysera interaktionen mellan fluiden och strukturen. Den andra delen av denna studie är en bedömning av de ojämna aerodynamiska belastningarna som produceras av ett vindkast över bladen och för att verifiera hur en bakkantklaff skulle påverka de aerodynamiska styrparametrarna för det valda vindturbinbladet.