<p>In this project, nano powder of CoSb₃ thermoelectric material was synthesized using chemical alloying novel co-precipitation method. This method involved co-precipitation of TE precursor compounds in controlled pH aqueous solutions followed by thermo-chemical treatments including calcination and reduction to produce nano-particulates of CoSb₃. The nano powder was consolidated using rapid solid state spark plasma sintering (SPS) and the processing time was of the order of few minutes. On a result very high densities were achieved and grain growth was almost negligible.</p><p>Various batches of the CoSb₃ nano powder were produced to achieve high purity, minimum particle size and compensate Sb evaporation during thermo-chemical reduction. For de-agglomeration, powder was grinded before and after calcination. Samples were characterized at each stage during synthesis using XRD and SEM (with EDX). Thermal gravimetric analysis (TGA) was done before thermochemical treatments to observe weight losses with heating the powder at high temperatures and other physiochemical changes. Thermal diffusivity of the samples was measured at room temperature using Laser Flash Apparatus (LFA) and heat capacity was measured using Differential Scanning Calorimetry (DSC).   Thermal conductivities are calculated using these thermal diffusivities, heat capacities and densities of the sintered pellets. Average grain size is measure using image size J software.</p><p>It was observed that powder purity and size is affected by batch size, reduction conditions like holding temperature and time.  During sintering with SPS; heating and cooling rates, sintering temperature, holding pressure and time were the main variables. Grain size and morphology was analyzed using SEM.</p><p>It was observed that larger the grain size higher will be the thermal diffusivity, which leads to increase in thermal conductivity. Hence, grain size has affected on thermal conductivity and also on TE performance.</p> / QC 20100708

<p>Spark Plasma Sintering (SPS) is a promising rapid consolidation technique that allows a better understanding and manipulating of sintering kinetics and therefore makes it possible to obtain Si₃N₄-based ceramics with tailored microstructures, consisting of grains with either equiaxed or elongated morphology.</p><p> The presence of an extra liquid phase is necessary for forming tough interlocking microstructures in Yb/Y-stabilised α-sialon by HP. The liquid is introduced by a new method, namely by increasing the O/N ratio in the general formula RE_xSi_12-(3x+n)Al_3x+nO_nN_16-n while keeping the cation ratios of RE, Si and Al constant. </p><p>Monophasic α-sialon ceramics with tailored microstructures, consisting of either fine equiaxed or elongated grains, have been obtained by using SPS, whether or not such an extra liquid phase is involved. The three processes, namely densification, phase transformation and grain growth, which usually occur simultaneously during conventional HP consolidation of Si₃N₄-based ceramics, have been precisely followed and separately investigated in the SPS process.</p><p>The enhanced densification is attributed to the non-equilibrium nature of the liquid phase formed during heating. The dominating mechanism during densification is the enhanced grain boundary sliding accompanied by diffusion- and/or reaction-controlled processes. The rapid grain growth is ascribed to a <i>dynamic ripening</i> mechanism based on the formation of a liquid phase that is grossly out of equilibrium, which in turn generates an extra chemical driving force for mass transfer. Monophasic α-sialon ceramics with interlocking microstructures exhibit improved damage tolerance. Y/Yb- stabilised monophasic α-sialon ceramics containing approximately 3 vol% liquid with refined interlocking microstructures have excellent thermal-shock resistance, comparable to the best β-sialon ceramics with 20 vol% additional liquid phase prepared by HP. </p><p>The obtained sialon ceramics with fine-grained microstructure show formidably improved <i>superplasticity</i> in the presence of an electric field. The compressive strain rate reaches the order of 10^-2 s^-1 at temperatures above 1500oC, that is, two orders of magnitude higher than that has been realised so far by any other conventional approaches. The high deformation rate recorded in this work opens up possibilities for making ceramic components with complex shapes through super-plastic forming. </p>

Chalcogenide glasses and glass-ceramics present a high interest for the production of thermal imaging lenses transparent in the 3-5 μm and 8-12 μm windows. However, chalcogenide glasses are conventionally synthesized in sealed silica ampoules which have two major drawbacks. First, the low thermal conductivity of silica limits the sample dimensions and second the silica tubes employed are single use and expensive, and represent up to 30% of the final cost of the material. The present work therefore addresses the development of innovative synthesis methods for chalcogenide glass and glass-ceramics that can present an alternative to the silica tube route. The method investigated involves melting the raw starting elements in reusable silica containers. This method is suitable for the synthesis of stable chalcogenide glasses compositions such as GeSe₄ but uncontrolled crystallization and homogenization problems are experienced for less stable compositions. The second approach involves preparation of amorphous chalcogenide powders by ball milling of raw elements. This mechanosynthesis step is followed by consolidation of the resulting powders to produce bulk glasses. Hot Uniaxial Pressing is suitable for compositions stable against crystallization. However, uncontrolled crystallization occurs for the unstable 80GeSe₂-20Ga₂Se₃ glass composition. In contrast consolidation through Spark Plasma Sintering (SPS) allows production of bulk glasses in a short duration at relatively low temperatures and is appropriate for the synthesis of unstable glasses. A sintering stage of only 2 min at 390°C is shown to be sufficient to obtain infrared transparent 80GeSe₂-20Ga₂Se₃ bulk glasses. This method enables the production of lenses with a 4-fold increase in diameter in comparison to those obtained by melt/quenching technique. Moreover, increasing the SPS treatment duration yielded infrared transparent glass-ceramics with enhanced mechanical properties. This innovative synthesis method combining mechanosynthesis and SPS has been patented in the framework if this study. The controlled etching of 80GeSe₂-20Ga₂Se₃ glass-ceramics in acid solution yields nanoporous materials with enhanced surface area. The porous layer created on the surface of the glass-ceramic is shown to play the role of anti-reflection coating and increase the optical transmission in the infrared range by up to 10%. These materials may have potential for the production of sensors with increased sensitivity in the infrared. The influence of indium and lead addition on the thermal and optical properties of the 80GeSe₂-20Ga₂Se₃ glass has also been assessed. Increased In or Pb contents tend to decrease the Tg of the glasses and shift the optical band gap toward higher wavelengths. A systematic ceramization study emphasizes the difficulty of controlling the crystallization for glasses in the systems GeSe₂-Ga₂Se₃-In₂Se₃ and GeSe₂-Ga₂Se₃-PbSe. No crystallization of the In₂Se₃ and PbSe crystalline phase was obtained. Finally, the possibility of producing rare-earth doped 80GeSe₂-20Ga₂Se₃ glass-ceramics transparent in the infrared region up to 16 μm is demonstrated. Enhanced photoluminescence intensity and reduced radiative lifetimes are observed with increased crystallinity in these materials.

Next generation aerospace vehicles require thermal protection system (TPS) materials that are capable of withstanding the extreme aerothermal environment during hypersonic flight (>Mach 5 [>1700 m/s]). Ultra-high temperature ceramics (UHTC) such as zirconium diboride (ZrB₂) are candidate TPS materials due to their high-temperature thermal and mechanical properties and are often the basis for advanced composites for enhanced oxidation resistance. However, ZrB₂ matrix impurities in the form of boron trioxide (B₂O₃) and zirconium dioxide (ZrO₂) limit the high-temperature capabilities. Electric based sintering techniques, such as spark plasma sintering (SPS), that use joule heating have become the preferred densification method to process advanced ceramics due to its ability to produce high density parts with reduced densification times and limit grain growth. This study focuses on a combined experimental and thermodynamic assisted processing approach to enhance powder purity through a carbo- and borocarbo-thermal reduction of oxides using carbon (C) and boron carbide (B₄C). The amount of oxides on the powder surface are measured, the amount of additive required to remove oxides is calculated, and processing conditions (temperature, pressure, environment) are controlled to promote favorable thermodynamic reactions both during thermal processing in a tube furnace and SPS. Untreated ZrB₂ contains 0.18 wt%O after SPS. Additions of 0.75 wt%C is found to reduce powder surface oxides to 0.12 wt%O. A preliminary Zr-C-O computational thermodynamic model shows limited efficiency of carbon additions to completely remove oxygen due to the solubility of oxygen in zirconium carbide (ZrC) forming a zirconium oxycarbide (ZrCₓOᵧ). Scanning electron microscopy (SEM) and scanning transmission electron microscopy (STEM) with atomic scale elemental spectroscopy shows reduced oxygen content with amorphous Zr-B oxides and discreet ZrO₂ particle impurities in the microstructure. Processing ZrB₂ with minimal additions of B₄C (0.25 wt%) produces high purity parts after SPS with only 0.06 wt%O. STEM identifies unique “trash collector” oxides composed of manufacturer powder impurities of calcium, silver, and yttrium. A preliminary Zr-B-C-O thermodynamic model is used to show the potential reaction paths using B₄C that promotes oxide removal to produce high-purity ZrB₂ with fine grains (3.3 𝜇m) and superior mechanical properties (flexural strength of 660MPa) than the current state-of-the-art ZrB₂ ceramics. Due to the desirable properties produced using SPS, there is growing interest to advance processing techniques from lab-scale (20 mm discs) to large-scale (>100 mm). The advancement of SPS technologies has been stunted due to the limited power and load delivery of lab-scale furnaces. We use a large scale direct current sintering furnace (DCS) to address the challenges of producing industrially relevant sized parts. However, current-assisted sintering techniques, like SPS and DCS, are highly dependent on tooling resistances and the electrical conductivity of the sample, which influences the part uniformity through localized heating spots that are strongly dependent on the current flow path. We develop a coupled thermal-electrical finite element analysis model to investigate the development and effects of tooling and current density manipulation on an electrical conductor (ZrB₂) and an electrical insulator, silicon nitride (Si₃N₄), at the steady-state where material properties, temperature gradients and current/voltage input are constant. The model is built based on experimentally measured temperature gradients in the tooling for 20 mm discs and validated by producing 30 mm discs with similar temperature gradients and grain size uniformity across the part. The model aids in developing tooling to manipulate localize current density in specific regions to produce uniform 100 mm discs of ZrB₂ and Si₃N₄.

This thesis describes an experimental investigation into ignition systems, their effects on the combustion process, and how the discharge is affected by the prevailing pressure, temperature and flow. The work is divided into four main areas, a comprehensive literature review, engine testing for ignition system suitability, non-flow rig testing (including erosion) and flow rig testing. The literature review concluded that the most practical ignition system for lean burn gas engines will continue to be based on the spark plug, but in the medium to long term, laser ignition may become viable. The measurement of the HT voltage and current is not straightforward, and appropriate methods have been identified. Capacitive and inductive ignition system types were compared in lean and diluted conditions on a single cylinder research engine of modern design at different engine loads and speeds. It was found that the most beneficial ignition system was an inductive ignition system, although that for some conditions, capacitive systems induced better engine performance with a fraction of the stored energy of the inductive alternative. Non flow tests showed that the early part of the spark discharge is sensitive to pressure and temperature effects, and as a consequence, the latter stages of the discharge are also affected. A correlation has been developed, for use with conventional nickel electrode spark plugs, to predict breakdown voltage as a function of pressure, temperature and gap. Experiments were carried out at elevated pressures in a stream of flowing air with capacitive and inductive ignition systems. Different electrode designs and orientations were also compared. It was shown that when exposed to a flow field, the discharge can be stretched which results in a shortened spark duration; in some cases the electrode can shield the discharge from flow field effects. This work showed that flow through the spark gap is a hindrance to the spark process, especially for longer duration systems. However for flame kernel growth, the literature review identified that flow is beneficial, serving to convect the kernel away from the electrodes, reducing the heat transfer from the flame. Analysis of the glow voltage history in the pressurised flow rig has been used to develop a correlation relating the voltage, current, flow velocity, pressure and time. This correlation was used to analyse the velocity records from the spark plug in a firing engine. The predicted velocities and turbulence intensity were in agreement with independent measurements.

Master of Science / Department of Computer Science / William H. Hsu / Data is generated all the time over Internet, systems sensors and mobile devices around us this is often referred to as ‘big data’. Tapping this data is a challenge to organizations because of the nature of data i.e. velocity, volume and variety. What make handling this data a challenge? This is because traditional data platforms have been built around relational database management systems coupled with enterprise data warehouses. Legacy infrastructure is either technically incapable to scale to big data or financially infeasible. Now the question arises, how to build a system to handle the challenges of big data and cater needs of an organization? The answer is Lambda Architecture. Lambda Architecture (LA) is a generic term that is used for scalable and fault-tolerant data processing architecture that ensures real-time processing with low latency. LA provides a general strategy to knit together all necessary tools for building a data pipeline for real-time processing of big data. LA comprise of three layers – Batch Layer, responsible for bulk data processing, Speed Layer, responsible for real-time processing of data streams and Service Layer, responsible for serving queries from end users. This project draw analogy between modern data platforms and traditional supply chain management to lay down principles for building a big data platform and show how major challenges with building a data platforms can be mitigated. This project constructs an end to end data pipeline for ingestion, organization, and processing of data and demonstrates how any organization can build a low cost distributed data platform using Lambda Architecture.

With maritime industry carrying out nearly 90% of the volume of global trade, the algorithms and solutions to provide quality of services in maritime transportation are of great importance to both academia and the industry. This research investigates an optimization problem using evolutionary algorithms and big data analytics to address an important challenge in maritime disruption management, and illustrates how it can be engaged with information technologies and Internet of Things. Accordingly, in this thesis, we design, develop and evaluate methods to improve decision support systems (DSSs) in maritime supply chain management. We pursue three research goals in this thesis. First, the Vessel Schedule recovery Problem (VSRP) is reformulated and a bi-objective optimization approach is proposed. We employ bi-objective evolutionary algorithms (MOEAs) to solve optimization problems. An optimal Pareto front provides a valuable trade-off between two objectives (minimizing delay and minimizing financial loss) for a stakeholder in the freight ship company. We evaluate the problem in three domains, namely scalability analysis, vessel steaming policies, and voyage distance analysis, and statistically validate their performance significance. According to the experiments, the problem complexity varies in different scenarios, while NSGAII performs better than other MOEAs in all scenarios. In the second work, a new data-driven VSRP is proposed, which benefits from the available Automatic Identification System (AIS) data. In the new formulation, the trajectory between the port calls is divided and encoded into adjacent geohashed regions. In each geohash, the historical speed profiles are extracted from AIS data. This results in a large-scale optimization problem called G-S-VSRP with three objectives (i.e., minimizing loss, delay, and maximizing compliance) where the compliance objective maximizes the compliance of optimized speeds with the historical data. Assuming that the historical speed profiles are reliable to trust for actual operational speeds based on other ships' experience, maximizing the compliance of optimized speeds with these historical data offers some degree of avoiding risks. Three MOEAs tackled the problem and provided the stakeholder with a Pareto front which reflects the trade-off among the three objectives. Geohash granularity and dimensionality reduction techniques were evaluated and discussed for the model. G-S-VSRPis a large-scale optimization problem and suffers from the curse of dimensionality (i.e. problems are difficult to solve due to exponential growth in the size of the multi-dimensional solution space), however, due to a special characteristic of the problem instance, a large number of function evaluations in MOEAs can still find a good set of solutions. Finally, when the compliance objective in G-S-VSRP is changed to minimization, the regular MOEAs perform poorly due to the curse of dimensionality. We focus on improving the performance of the large-scale G-S-VSRP through a novel distributed multiobjective cooperative coevolution algorithm (DMOCCA). The proposed DMOCCA improves the quality of performance metrics compared to the regular MOEAs (i.e. NSGAII, NSGAIII, and GDE3). Additionally, the DMOCCA results in speedup when running on a cluster.

Determinação do desempenho de um motor à combustão interna com ignição por centelha, sem modificação em sua taxa de compressão volumétrica, usando álcool etílico vaporizado como combustível. Para facilidade de obtenção de dados usou-se um sistema de aquecimento elétrico para a geração do vapor do álcool etílico. Mediu-se as descargas de ar e combustível, a potência no eixo e a temperatura dos gases de escape para vários ângulos de avanço de centelha e rotações do eixo do motor. Os resultados obtidos foram comparados com o desempenho do mesmo motor funcionando com gasolina e álcool, pelo sistema de mistura usando carburador. O processo de vaporização pode ser aplicado a motores do tipo ciclo Otto , que poderão funcionar com álcool etílico ou gasolina, com poucas alterações em seu desempenho. / Performance determination of a spark-ignition combustion-engine, without modification in compression ratio, fueled with etanol vapours. The data acquisition was simplified by the use of an electric heater to generate the etanol vapours. The data acquired are flow of air and fuel, net power and escape gases temperature to various spark advance angles and engine speed. The performance was compared with those obtained with the carburator system motor, gasoline and etanol as fuel. The vaporization process will be applied in Otto cycle engines that may work with etanol or gasoline as fuels, with few performance alterations.

Future supercomputers will require application developers to expose much more parallelism than current applications expose. In order to assist application developers in structuring their applications such that this is possible, new programming models and libraries are emerging, the many-task runtimes, to allow for the expression of orders of magnitude more parallelism than currently existing models. This dissertation describes the challenges that these emerging many-task runtimes will place on performance analysis, and proposes deep integration between runtimes and performance tools as a means of producing correct, insightful, and actionable performance results. I show how tool-runtime integration can be used to aid programmer understanding of performance characteristics and to provide online performance feedback to the runtime for Unified Parallel C (UPC), High Performance ParalleX (HPX), Apache Spark, the Open Community Runtime, and the OpenMP runtime.

O processo de microestampagem permite a fabricação de peças ou microcomponentes, podendo ser aplicado a diversas áreas da engenharia. Logo, este trabalho tem por objetivo desenvolver um micromotor de passo e avaliar os efeitos da miniaturização de seus componentes. A simulação computacional foi utilizada neste trabalho de forma a avaliar os defeitos surgidos com a miniaturização, através do software de elementos finitos DYNAFORM com “solver” LS-DYNA. O material empregado na carcaça foi o aço de baixo carbono ABNT 1010 e o aço inoxidável ABNT 304, e para o núcleo magnético do micromotor, composto pelo rotor e estator, utilizou-se o aço elétrico ABNT 35F 420M. A simulação computacional, além de identificar os problemas oriundos da miniaturização dos componentes, também foi utilizada para otimizar as ferramentas de microestampagem, demonstrando desta forma ser uma grande aliada para o desenvolvimento do processo. O processo de corte convencional em matriz não foi aplicado no corte do rotor e do estator, pois produziu defeitos como empenamento e rebarbas. Ao invés disso, empregou-se o processo de corte por eletroerosão a fio, que produziu peças planas e superfícies lisas. / The process of micro deep drawing is a micro-technology which allows the fabrication of microcomponents and can be applied to various fields of engineering. This study aims to develop the components of a micromotor step using this technology and to evaluate the effects of the microfabrication of the motor frame, rotor and stator. A computer simulation was carried out in order to evaluate miniaturization of the components trough the finite element software DYNAFORM with “Solver” LS-DYNA. The material used in the motor housing was low carbon steel ABNT 1010 and stainless steel ABNT 304. However, in magnetic core, comprising the rotor and stator, the electric steel ABNT 35F 420M was employed. Micro deep drawing tools were developed based on the results obtained through simulation is a great ally to create microcomponents. The cutting process in the matrix was not employed to cut de rotor and the stator, because it produced defects such as warping and butts along the surface. Instead, wire cutting spark erosion was used and resulted in hat part and surfaces.