Thermal analysis of electric machine is one of the key steps in design procedure. Traditionally, thermal calculations are done by analytical method, mostly based on equivalent electrical circuit, where thermal quantities are replaced by equivalent electrical quantities. These methods employ so-called electro thermal analogy. Different approach is to use Finite Element Method, which is the main goal of this thesis. First part of the thesis is devoted to description of CAD system Autodesk Inventor, which is modern parametric CAD for modelling of virtual prototypes. This system is then used for creation of three dimensional model of brushless DC machine. Second part is focused on thermal calculations in Ansys Workbench environment. Model of brushless DC machine created in Inventor is transferred into Ansys Workbench and thermal analysis is carried out.

Tato dizertační práce studuje charakter hydratační vody v systému voda/huminová látka. Úkolem je určit jak kvantitativní, tak i kvalitativní aspekty hydratace huminových látek (HS) v pevné i kapalné fázi a prozkoumat rozdíly ve vlastnostech vody obklopující huminovou látku s použitím vysokorozlišovací ultrazvukové spektroskopie (HRUS) a metod termické analýzy, jako je diferenční kompenzační kalorimetrie (DSC) a termogravimetrie (TGA). Hlavním cílem této práce je přispět k objasnění problému hydratace huminových látek pocházejících z různých zdrojů a majících proto odlišné vlastnosti a složení, a to s využitím postupů a technik, které se již dříve osvědčily při stanovení hydratační vody v hydrofilních polymerech. Tato práce zkoumá účinek vody na strukturu huminových látek, způsob, jakým voda smáčí jejich povrch a jak jimi proniká, způsobuje změny v konformaci HS, jejich retenční kapacitu a také vliv původu jednotlivých huminových látek na jejich hydratační vlastnosti s ohledem na kineticku těchto procesů. Dále studuje vliv stupně humifikace na hydratační procesy huminových látek, stejně jako reverzibilitu těchto procesů. Výsledky této práce objasňují paralelu s vlastnostmi hydrogelů a podobnosti i odlišnosti mezi biopolymery a huminovými látkami.

This diploma thesis deals with preparation and subsequent characterization of albumin (BSA) and mixed hyaluronan-albumin (HA+BSA) hydrogels. The experimental characterization was based on the rheological measurements of the influence of ionic strength, pH and molar mass of HA on the gelation process and the properties of formed gels, as well as the time stability of these properties. Following object of the study was swelling of hydrogels in water and buffers with different pH value. Characterization was extended by thermal analysis, morphology description using scanning electron microscopy (SEM) and study of transport properties of hydrogels for selected model substance. Due to increasing ionic strength, the gel point was shifted towards higher temperature values and the resulting gels exhibited higher values of complex moduli. In case when pH was lower than isoelectric point of BSA, attractive electrostatic interactions between albumin and hyaluronan took place and the faster gelation occurred, compared to the case when pH was higher than isoelectric point of BSA. On the contrary, values of complex moduli increased with increasing pH. The gel samples prepared in the presence of low molecular weight HA reached higher values of complex moduli, compared to samples with the high molecular weight HA. Rheological properties of BSA gels were stable over time, whereas the mixed HA+BSA were characterized by significant decrease of complex moduli during the first three days of storage. Due to heating up to 100 °C, more than 80 % of the weight of studied samples was lost, as a result of water evaporation. Further heating of hydrogels, up to 250 °C, did not cause other changes associated with weight loss, in contrast with crystalline powder BSA, in which another weight loss at 220 °C was observed, as a result of the beginning degradation. Swelling studies, as well as SEM images, indicated higher crosslink density of BSA gels, compared to HA+BSA samples, which exhibited higher values of swelling ratio. The lowest values of equilibrium swelling ratio were observed at pH 4, which is close to the isoelectric point of albumin. Calculated diffusion coefficients relative to diffusivity of methylene blue in water ranged between the order of 10E-2 for diffusion into physiological solution and the order of 10E-3 for the diffusion into water. Ongoing transport of model dye from gel to solution was significantly slower, compared to its diffusion in water, as a result of gel porosity and electrostatic immobilization of positively charged molecules of methylene blue on the negatively charged BSA and HA chains.

Rostlinné oleje se používají v mnoha odvětvích chemického průmyslu. V průběhu zpracování konkrétního produktu, ve kterém jsou rostlinné oleje použity, dochází často ke zvyšování teploty. Vyšší teplota urychluje průběh auto-oxidace což negativně ovlivňuje stabilitu olejů nebo výrobků z nich připravených. Mezidruhové mísení olejů je poměrně častým jevem jak při samotné výrobě tak i ve finálním výrobku. Cílem této práce bylo stanovit termo-oxidační stabilitu šesti čistých rostlinných olejů a jejich binárních směsí. První část práce zkoumá oleje a připravené směsi pomocí metody diferenciální kompenzační kalorimetrie. Tato metoda umožnila pochopení vztahů mezi termo-oxidačním chováním olejů a jejich směsmi pomocí stanovení teplot degradace. Přímá souvislost mezi obsahem mastných kyselin a stabilitou byla prokázána pouze zčásti, stejně tak jako původní předpoklad, že přídavek stabilnějšího olej zvýší stabilitu oleje méně stabilního. V několika případech docházelo dokonce ke snížení stability pod teplotu degradace obou čistých olejů. Ve druhé části byl zjišťován mechanismus pro-oxidační fáze vedoucí k degradaci olejů pomocí termogravimetrie, která ukázala přírůstek hmotnosti ve vzorcích oleje způsobeného absorpcí kyslíku a tvorbou peroxidů předcházející degradaci. V tomto případě již bylo možné pozorovat jistou souvislost mezi obsahem mastných kyselin a vzrůstem hmotnosti, pouze však jen pro čisté oleje. Ani v tomto případě nebyla prokázána aditivita vlastností způsobujících stabilitu směsí rostlinných olejů.

京都大学 / 0048 / 新制・課程博士 / 博士(工学) / 甲第19310号 / 工博第4107号 / 新制||工||1633(附属図書館) / 32312 / 京都大学大学院工学研究科電気工学専攻 / (主査)教授 山川 宏, 教授 松尾 哲司, 准教授 中村 武恒 / 学位規則第4条第1項該当 / Doctor of Philosophy (Engineering) / Kyoto University / DFAM

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This thesis provides a way of mapping the temperature development of the tap-changer oil for some different standardized loading cases. The project was in collaboration with Hitachi Energy for one of their production cites situated in Ludvika, Sweden. The software used for the simulation environment was COMSOL 6.1 which is a finite element solver. Heat transfer from the tap-changer oil to the ambience is an important property to understand in order to be able to model the future tap-changers that can withstand harsch working environments. CAD files for the housing of a tap-changer model, as well as a mathematical model for the oil and heat transfer number, was made. Combined with COMSOLS inbuilt physics tools various temperature plots of the oil and housing could be made, following the creation of the user app that was shared with the company. The resulting temperature plots made it is possible to distinguish which models that operates below the temperature limits, and the ones passing the limit can then be adressed accordingly. Since it is a quite simple model, not including the fluidic dynamics of the oil and with a simple geometry, some errors is to be expected. An interesting finding in this project was the change of placement for the maximum temperature for one specific operation cycle. This could be of use for a future thermal management study that could be implemented into other operation cycles.

Natural nanominerals are abundant in Earth's critical zone and important in innumerable environmental processes that affect water quality. The chemical behavior of many natural nanominerals is related to their extreme small size (<10 nm) and high surface area. Atomic structural and chemical heterogeneity are also important factors affecting nanoparticle reactivity, and are a consequence of the mechanisms and complex (natural) conditions by which they form. The relationships between these factors remain poorly understood and limit our ability to predict the formation, transformation, and chemical behavior of natural nanominerals in the environment. We are using a poorly crystalline ferric hydroxysulfate nanomineral, schwertmannite, as a model system to understand the effect of formation conditions, specifically solution chemistry, on its physico-chemical characteristics. Previous studies indicate schwertmannite has highly variable bulk sulfate (Fe/S molar from 3-15) and water contents (Caraballo et al., 2013). In addition, both natural and synthetic schwertmannites have recently been described as "polyphasic" (i.e., consisting of sulfate-poor, goethite-like ordered domains embedded in a sulfate-rich, amorphous material) from observations using transmission electron microscopy (French et al., 2012). We hypothesize that solution chemistry at the time of schwertmannite formation directly affect its composition and structure. Using a factorial experiment design, we investigated the effects of increasing solution sulfate concentration ([SO4]/[Fe] at 1, 2, 3 and 5) and pH (2.4-5.6) on the crystallinity and composition of the products. Ferric hydroxide and hydroxysulfate solids were precipitated in batches by the rapid oxidation of Fe(II) by hydrogen peroxide, similar to what is seen in natural environmental systems. Sulfate and hydroxide concentrations were varied by addition of NaSO4 and NaOH, respectively. Solids were characterized using synchrotron X-ray diffraction (XRD), thermogravimetric analysis (TGA), differential scanning calorimetry (DSC), inductively coupled plasma-mass spectrometry (ICP-MS), scanning electron microscopy (SEM), and high resolution- transmission electron microscopy (HR-TEM). Our results show that schwertmannite is the only precipitate formed at low pH and that goethite rapidly becomes dominant at pH > 3.5. High-resolution TEM showed our synthetic schwertmannite samples consist of poorly crystalline goethite-like nanodomains within an amorphous solid, similarly seen in previous results. ICP-MS results reveal a narrow Fe/S molar ratio of 4.5 ±0.1 for our synthetic schwertmannite, which suggests that schwertmannite chemical composition does not depend strongly on pH or initial solution sulfate concentration. Increasing pH from 2.4 to 3.2 also has little effect on the crystallinity, bulk Fe/S ratio and water contents of schwertmannite. Increasing solution [SO4]/[Fe] also has little to no impact on crystallinity, water content or the amount of sulfate incorporated in schwertmannite. Thus, schwertmannite crystallinity and composition is not affected by initial solution sulfate and concentration under our experimental conditions. Thermal analysis allows us to independently measure OH and SO4 content in synthetic schwertmannite. In doing so, we propose a more accurate chemical formula (Fe8Oz(OH)24-2z-2x(SO4)x). The average stoichiometry based on thermal analysis of schwertmannite precipitated at [SO4]/[Fe] = 1 and pH ranging from ~2.4 2.9 is Fe8O6.51(OH)8.4(SO4)1.28. Interestingly, the calculated number of moles of oxygen is less than 8, which suggests that the standard formula Fe8O8(OH)8-2x(SO4)x is incorrect. These results for synthetic samples provide important constraints for future studies aimed at better understanding the formation, compositional variability and chemical behavior of natural schwertmannite. / Master of Science

The digital transformation of engineering design processes is essential for the aerospace industry to remain competitive in the global market. Multidisciplinary design optimization (MDO) frameworks play a crucial role in this transformation by integrating various engineering disciplines and enabling the optimization of complex spacecraft structures. Since the design team consists of multiple entities from different domains working together to build the final product, the design and analysis tools must be readily available and compatible. An integrated approach is required to handle the problem's complexity efficiently. Additionally, most aerospace structures are made from composite panels. It is challenging to optimize such panels as they require the satisfaction of constraints where the design ply thicknesses and orientations can only take discrete values prescribed by the manufacturers. Heuristics such as particle swarm or genetic algorithms are inefficient because they provide sub-optimal solutions when the number of design variables is large. They also are computationally expensive in handling the combinatorial nature of the problem. To overcome these challenges, this work proposes a two-fold solution that integrates multiple disciplines and efficiently optimizes composite spacecraft structures by building a rapid design framework. The proposed model-based design framework for spacecraft structures integrates commercially available software from Siemens packages such as NX and HEEDS and open-source Python libraries. The framework can handle multiple objectives, constraint non-linearities, and discrete design variables efficiently using a combination of black-box global optimization algorithms and Mixed Integer Programming (MIP)-based optimization techniques developed in this work. Lamination parameters and MIP are adopted to optimize composite panels efficiently. The framework integrates structural, thermal and acoustic analysis to optimize the spacecraft's overall performance while satisfying multiple design constraints. Its capabilities are demonstrated in optimizing a small spacecraft structure for required structural performance under various static and dynamic loading conditions when the spacecraft is inside the launch vehicle or operating in orbit. / Doctor of Philosophy / The design of new spacecraft takes several years and requires significant resources. The primary design objective is to minimize spacecraft mass/cost while satisfying the mission requirements. This is done by altering the structure's geometric and material properties. Most spacecraft panels are made from composite materials where the orientations of fiber paths and the thickness of the panel determine its strength and stiffness. Finding the best values for these parameters cannot be done efficiently using existing optimization algorithms, as several combinations of orientations can give a similar performance which can be subpar. In this dissertation, mathematical programming is adopted for fast evaluation of optimum panel properties, thereby saving a significant amount of resources compared to conventional techniques. Moreover, the requirements that govern the design process are handled one at a time in an organization. This leads to discrepancies in the various teams' designs that satisfy all requirements. A framework is built to integrate all requirements to account for their conflicting nature and quickly give the best possible spacecraft structural design configuration.

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