Investigation of non metallic inclusions in two different steels from Sandvik was made before and after turning. After dissolving the non-metallic inclusions by electrolytic extraction the particles were analysed manually or by INCA feature. This was referred to as 3D analysis. INCA feature analysis without extraction of particles was also performed, this was referred to as 2D analysis. The aim of the report was to a make a characterization of non-metallic inclusions with respect to chemical composition, aspect ratio, size and shape. The aim was also to compare different investigation methods. Samples were prepared and investigated. It was obtained that inclusions with sulphur content was elongated and crushed during the turning process. Broken sulphides were detected in one of the steels, and broken oxysulphides in the other steel in the electrolytically extracted chips created by turning. The first steel, steel 1, mainly contained sulphide and oxysulphide inclusions, and steel 2 mainly contained oxysulphides. The aspect ratio obtained by 2D analysis of the sulphide inclusions in steel 1 before turning showed similar results to the electrolytic extracted inclusions measured by hand. The aspect ratio increased with the length of the inclusion. However the deviation of data obtained by the 2D analysis was larger than deviation from the extracted particles measured by hand. The reason for this was assumed to be that the 2D method was not able to analyse the true shape of the inclusions e.g. if inclusions were partly concealed by metal matrix. In analysis of steel 2 the average aspect ratio decreased for oxides and increased for oxysulphides after turning. The chemical composition of inclusions did not change after the turning process for neither of the steels. Copper was detected in the electrolytic extracted inclusions, however not in the 2D investigation by SEM. This is an interesting topic for future research.

Selection pressure is a constant force in evolution, pushing birds and their wings towards an optimal shape and structure, were increasing performance, and minimizing the costs is central. But even though the science of aerodynamics can provide calculations of the optimal construction for the wing in different situations this rarely directly correspond to what is observed in nature. Since the optima are not the same for all birds due to different specifications and ecology this optimum becomes harder to determine and different functions can even have different optima, resulting in selection conflict. In the genius of birds there is an immense variation between species and their wings in everything from size, shape, and function.  The aim of this study is to investigate how wing morphology over a large phylogeny of bird species correlates to migration and habitat/ecology. Many studies have been done focusing on the effect of migration on the wing morphology, and some have been done focusing on other parameters such as display or daily usage. But by including the bird’s ecology and habitat related information with migration and morphology and looking at the selection from a broad perspective, can we uncover something more? The morphology of the wing cannot provide a perfect optimum for all circumstances since they require different specifications. What then, has the largest impact on the wing’s morphology? And does the relative length of the tail provide any correlations with its habitat and performance?  1185 birds of 137 species were caught at Ottenby, Öland and information on age, weight, sex, and tail length was collected for each individual bird. Photographs were taken of the back of the bird with the left wing outstretched 90 degrees from the body and analyzed in ImageJ to calculate aspect ratio and wing loading. Data on migration distance, foraging behavior, diet, and habitat density was then added for each of the species. Mean values of all parameters was calculated on species level creating a strong dataset with 137 data points. The species mean values dataset was used to test the interspecific effects and the dataset with all individuals was used to test intraspecific effects. ANOVAs, ANCOVAs, correlations tests and random slopes mixed models were performed revealing significant connections between wing morphology, migration, and habitat density. Correlations could also be observed between wing morphology, diet, and foraging behavior. Habitat density revealed the highest correlation with wing morphology, demonstrating a greater significance than migration and the other parameters. Effects that at first sight looked significant could later be excluded as they turned out to be dependent on other variables. The study therefore also highlights the importance of including alternative parameters for reliable conclusions.

Continuous caster moulds are the last and most important stage in the steelmaking process, where inclusions can either be generated or removed. With increasing casting speed using conventional immersion nozzles critical problems, such as unstable bulk mould flow have been noticed. Mould flux entrapment due to vortex and shearing action from the oscillating surface waves have become of particular concern. It is therefore necessary to have a calm inlet flow at the entrance of the mould. Recently, it has been acknowledged that a swirl blade placed at the upstream of the immersion nozzle effectively resolves the problems arising from unstable bulk mould flow. Therefore, to increase the knowledge of effect of swirling flow on the flow pattern in the mould, fundamental mathematical models of a billet mould equipped with a swirl blade in the nozzle have been developed. The model was used to study the effect of divergent angle of the immersion nozzle and mould aspect ratio on the flow field and temperature distribution inside billets moulds. Data from water model experiments were used to verify the mathematical model predictions. A fairly good agreement was found between physical modeling data and predictions, which ensured that the numerical model is reliable. Thereafter, the differences between square and round billet moulds were studied. Next, the effect of changing aspect ratio of the rectangular mould on the fluid flow and heat transfer, while keeping mould surface area constant, was studied. Two types of immersion nozzles, bottomless and conventional, were also analyzed during the research. The model moulds were changed gradually from a square billet with an aspect ratio of 1x1 to a rectangular billet with an aspect ratio of 3x1. First, the temperature and velocity distributions were calculated. Later, unsteady calculations were done to determine velocity fluctuations on the meniscus level for two types of nozzles and several moulds geometries. / <p>QC 20101110</p>

In high rise towers, reinforced concrete elevator shafts with coupling beams are extensively used as a principal structural element to resist lateral loads. The lateral load resistance of the tower is dominantly dependent on the stiffness of the load-bearing walls, and coupling beams connecting them. In an interest to study the reduction in the stiffness of high rise tower due to cracking in the coupling beams, variability in the reinforcement content, concrete grade and the effect of joint flexibility at the beam-wall intersection, this master thesis presents the analytical and finite element approaches to determine the equivalent height of the concrete coupling beams and the overall global stability of the high-rise tower. A comprehensive parametric study on 240 combinations of reinforced concrete coupling beams and 48 models of the global tower has been carried out to backtrack the effective stiffness of the RC coupling beams from the load-deflection curve. As a result, the stiffness and the equivalent height of coupling beams are computed and plotted as a function of the concretegrade, reinforcement content and aspect ratio. Additionally, the tip deflections of the towers for both the cracked &amp; reinforced and un-reinforced &amp; un-cracked models are also plotted as functions of the concrete grade, reinforcement content and aspect ratio.The obtained results show that the stiffness ratio and the ratio of the equivalent height to the normal height increase with the increase in the longitudinal reinforcement ratio and aspectratio but decrease with an increase in the concrete grade for both analytical and finite element methods. The tip deflection of tower is not significantly affected by an increase in the reinforcement content of slender coupling beams and vice versa for both the analytical and the finite element method. Independently of the slenderness of the composing coupling beams, the stiffness increases significantly with an increase in the concrete grade. These results show a good picture on how to choose the equivalent height in the model with no reinforcement. So, the developed diagram will be a more practical method for the designer of awhole building at the early stage design. Thick coupling beams need to be reinforced to reach the gross section’s stiffness while slender sections will have a higher stiffness with reinforcement. This would help the designer to find a more rational model without reinforcement. Using Hans Petersson’s analytical method, regarding the joint flexibility at the beam wall intersection, to exploit the full capacity of a concrete coupling beam section, the stiffness should be reduced. For global models, independently of the slenderness of the composing coupling beams, the stiffness increases significantly with an increase in the concrete grade. / I höghus används hisschakt av armerad betong tillsammans med kopplingsbalkar i stor utsträckning som främsta konstruktionselement för att motstå horisontella laster. Tornets horisontella bärförmåga är beroende av analytiska studier och studier med finita element metoden styvheten hos de bärande väggarna, och kopplingsbalkarna som förbinder dem. För att studera minskningen av styvheten i höghustorn på grund av sprickbildning i kopplingsbalkar, variationen i armeringsmängden, betongkvaliteten och effekten av ledflexibilitet vid balk-vägg-knutpunkten, presenterar detta examensarbete kopplingsbalkarnas effektiva styvhet och höghusets globala stabilitet. En omfattande parametrisk studie på 240 olika kombinationer av armerade kopplingsbalkar och 32 modeller av ett höghus har genomförts för att härleda den effektiva styvheten i de armerade kopplingsbalkarna från last-deformationskurvan. Som ett resultat beräknas styvheten och den ekvivalenta höjden av kopplingsbalkarna och plottas som funktion av betongkvaliteten och armeringsmängden. Dessutom modelleras höghuset för både spruckna &amp; armerade kopplingsbalkar samt oarmerade &amp; ospruckna kopplingsbalkar för att erhålla utböjningen av höghusets topp. Resultatet plottas som funktion av betongkvaliteten och armeringsmängden. De erhållna resultaten visar att styvhetsförhållandet och förhållandet mellan ekvivalent höjd till normal höjd ökar med mer längsgående armering och tvärsnittsförhållandet men minskar med en ökning av betongkvaliteten för både den analytiska och finita elementmetoden. Utböjningen av höghusets topp påverkas inte nämnbart av en ökning av armeringsmängden i de slanka kopplingsbalkarna och vice versa för både den analytiska och finita elementmetoden. Oberoende av slankheten av kopplingsbalkarna ökar styvheten betydligt med en ökning av betongkvaliteten. Dessa resultat visar en bra bild på hur man väljer ekvivalent höjd i modellen utan armering. Därmed kommer det framtagna diagrammet vara en mer praktisk metod för att i ett tidigt skede konstruera en hel byggnad. Tjocka kopplingsbalkar måste armeras för att nå tvärsnittets styvhet medan smala tvärsnitt kommer att ha en högre styvhet med armering. Detta skulle hjälpa konstruktören att hitta en mer rationell modell utan armering. Med hjälp av Hans Peterssons analytiska metod, angående ledflexibiliteten vid balk-väggknutpunkten, bör styvheten minskas för att utnyttja den fulla kapaciteten hos en betongkopplingsbalk. För globala modeller, oberoende av de slanka kopplingsbalkarna, ökar styvheten betydligt med en ökning av betongkvaliteten.

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The diversity of video material, where a video is shot and produced using a single aspect ratio, and the variety of devices that can play video with screens in different aspect ratios make video retargeting a relevant topic. The process of fitting a video filmed in one aspect ratio to a screen in another aspect ratio is called video retargeting, and the retargeted video should ideally preserve the important content and structure of the original video as well as be free of visual artifacts. Important content and important structure are vague and subjective definitions, which makes this problem more difficult to solve. The video retargeting problem has been a challenge for researchers from the computer vision, computer graphics and human-computer interaction areas, and successful retargeting can improve the viewing experience and the content’s aesthetic value. Video retargeting is done by four tools: cropping, scaling, seam carving and seam adding. Previous research showed that one of the keys to successful retargeting is to use a suitable combination of operators. This study makes use of a vision transformer, a deep learning model which is trained to discriminate between original and retargeted videos. Solving an optimization problem using beam search, the transformer assists in choosing a combination of operators that will result in the best possible retargeted video. The retargeted videos were examined in a user A/B-test, where users had to choose their preferred variant of a video shot: the transformer’s output using beam search, or a singular version where the video underwent a single retargeting operation. The model and user preferences were compared to check if the model indeed can make retargeting decisions that are appealing for humans to watch. A significance test showed that no conclusion can be made, probably due to lack of enough test data. However, the study revealed patterns in the preferences of the users and the model that could be further fine-tuned or combined with other computer vision mechanisms in order to output better retargeted videos. / Variation av videomaterial, där olika videor är inspelade och producerade i olika bildförhållande, samt variation i apparater och skärmar som spelar upp videor i olika bildförhållanden gör ändring av videobildförhållande till en relevant fråga. Processen där en videos bildförhållande ändras heter video retargeting. När video retargeting används bör den nya videon helst bevara strukturen och viktigt innehåll från originalvideon samt vara artefaktfri. Struktur och viktigt innehåll är subjektiva definitioner vilket gör frågan svårlöst, och frågan har varit en utmaning för forskare inom datorseende, datorgrafik och människa-datorinteraktion. Lyckad ändring av en videos bildförhållande kan förbättra tittarupplevelsen och innehållets estetiska värde. Video retargeting kan göras med hjälp av fyra funktioner: klippning, skalning, seam carving och seam adding. Tidigare studier visar att en av nycklarna till lyckad retargeting är att hitta en lämplig kombination av funktionerna. I denna studie används Vision Transformer, en djupinlärningsmodell som tränas för att skilja mellan original och omvandlade videor. Genom att lösa ett optimeringsproblem med strålsökning hjälper modellen välja den kombination av funktionerna som resulterar i den bästa möjliga omvandlade videon. De omvandlade videorna testades genom ett användartest där användare valde vilket videoklipp de tyckte bättre om: modellens output som skapades med hjälp av strålsökning, eller en version där klippet genomgick en enklare retargeting med hjälp av endast en av funktionerna. Modellens och användarnas preferenser jämfördes för att se om modellen kan fatta beslut som användare upplever som bra. Ett signifikanstest visar att ingen slutsats kan dras, förmodligen på grund av det begränsade antalet videoklipp och data som användes i studien. Däremot visar studien mönster i användarnas och modellens preferenser som kan användas för att vidareutveckla problemlösningen inom området.

This thesis describes the development and use of a computer-automated microscopy routine for characterization of respirable dust particles from coal mines. Respirable dust in underground coal mining environments has long been known to pose an occupational health hazard for miners. Typically following years of exposure, coal workers' pneumoconiosis (CWP) and silicosis are the most common disease diagnoses. Although dramatic reductions in CWP and silicosis cases were achieved across the US between about 1970-1999 through a combination of regulatory dust exposure limits, improved ventilation and dust abatement practices, a resurgence in disease incidence has been noted more recently – particularly in parts of Appalachia. To shed light on this alarming trend and allow for better understanding of the role of respirable dust in development of disease, more must be learned about the specific characteristics of dust particles and occupational exposures. This work first sought to develop an automated routine for the characterization of respirable dust using scanning electron microscopy with energy dispersive x-ray (SEM-EDX). SEM-EDX is a powerful tool that allows determination of the size, shape, and chemistry of individual particles, but manual operation of the instrument is very time consuming and has the potential to introduce user bias. The automated method developed here provides for much more efficient analysis – with a data capture rate that is typically 25 times faster than that of the manual method on which it was based – and also eliminates bias between users. Moreover, due to its efficiency and broader coverage of a dust sample, it allows for characterization of a larger and more representative number of particles per sample. The routine was verified using respirable dust samples generated from known materials commonly observed in underground coal mines in the central Appalachian region, as well as field samples collected in this region. This effort demonstrated that particles between about 1-9μm were accurately classified with respect to defined chemical categories, and suggested that analysis of 500 particles across a large area of a sample filter generally provides representative results. The automated SEM-EDX routine was then used to characterize a total of 210 respirable dust samples collected in eight Appalachian coal mines. The mines were located in three distinct regions (i.e., northern, mid-central and south-central Appalachia), which differed in terms of primary mining method, coal seam thickness and mining height, and coal and/or rock mineralogy. Results were analyzed to determine whether number distributions of particle size, aspect ratio, and chemistry classification vary between and within distinct mine regions, and by general sampling location categories (i.e., intake, feeder, production, return). Key findings include: 1) Northern Appalachian mines have relatively higher fractions of coal, carbonate, and heavy mineral particles than the two central Appalachian regions, whereas central Appalachian mines have higher fractions of quartz and alumino-silicate particles. 2) Central Appalachian mines tended to have more mine-to-mine variations in size, shape, and chemistry distributions than northern Appalachian mines. 3) With respect to particle size, samples collected in locations in the production and return categories have the highest percentages of very small particles (i.e., 0.94-2.0μm), followed by the feeder and then the intake locations. 4) With respect to particle shape, samples collected in locations in the production and return categories have higher fractions of particles with moderate (i.e., length is 1.5 to 3x width) to relatively high aspect ratios (i.e., length is greater than 3x width) compared to feeder and intake samples. 5) Samples with relatively high fractions of alumino-silicates have higher fractions of particles with moderate aspect ratios than samples with low alumino-silicate fractions. 6) Samples with relatively high fractions of quartz particles have higher fractions of particles with moderate aspect ratios and higher percentages of very small particles than samples with no identified quartz particles. 7) Samples with high fractions of carbonates have higher percentages of particles with relatively low aspect ratios (i.e., length and width are similar) than samples with no identified carbonate particles. / Master of Science