This thesis deals with component software, software frameworks for the Eclipse platform and the creation of a graphical editor for designing component systems with the usage of the Eclipse platform. After introducing the conception of UML component diagram, it describes the overview of component software, components and component technologies of major players on ground of component software: OMG, Sun, Microsoft. A significant part is dedicated to software frameworks for the Eclipse platform for manipulating with meta models. EMF, GEF and GMF are described in more detail. The main part presents the design, implementation and evaluation of a graphical editor for designing component systems with emphasis on understandability and good arrangement.

In sustainable energy systems those using fuel cells, high step-up gain converters are widely used to increase the output voltage to levels that can be used by other converters, such as inverters for grid connection or powering other AC loads. In order to obtain a higher voltage gain, in comparison to a traditional boost converter, often different topologies techniques are involved. In this project a new topology is studied, cascading to half bridges, each working similar to a boost converter but with magnetic coupled inductors in-between.    The converter design is modeled in PLECS Blockset and MATLAB Simulink to simulate and evaluate the performance with proper design procedure. The results showed that a high step-up gain was achieved, and the gain could easily be adjusted by changing the duty cycle and/or the coupling factor. The converter design showed similarities and differences to a traditional boost converter. The coupled inductor has its advantage reducing the fuel cell current ripple with the effect of the duty cycle.

No description available.

The negative impact of gas turbine emissions on the environment and human health is a growing concern. Recent studies suggest injecting water into the combustion process effectively reduces emissions and increases power output. However, this approach presents new challenges that need to be thoroughly investigated. Siemens Energy (SE) has recently conducted a study on water injection and its effects on gaseous combustion mixtures but encountere challenges the simulation results when adding water. Therefore, the primary objective of this thesis is to evaluate the methodologies available in Star CCM+ for modeling water injection in a simplified combustor model (SCM) using both liquid (diesel) and gas (methane) fuels. In addition, the behavior of the flame, temperature field inside the combustor, and burner outlet temperature, are investigated.The study has compared physical phenomena such as, the flame shape, velocity, and vorticity field of SCMs with the complete combustor model of the SGT-800 gas turbine for gas fuel. Additionally, the thesis has examined the capability of STAR CCM+ for predicting flame temperature at the outlet against in-house calculation data and Cantera software for parametric cases. The methodology involves a parametric study using the Realizable k-ε TwoLayer turbulence model for steady-state RANS simulations. Combustion is modeled using the FGM method, while Lagrangian multiphase approach is used for liquid injection.The employed FGM combustion model, Lagrangian multiphase model, and RANS simulations yielded realistic results. In addition, the convergence of gas fuel cases was smoother compared to liquid fuel cases, which involved multiphase modelling and evaporation, makes it more complex. The physical phenomena were captured by CFD simulations for the SCM. Flame shape, velocity and vorticity field have good agreement with the theory in the field of gas turbine combustion and other literature sources. Disagreements between CFD and in-house calculations were observed, with the greatest differences being 24 ℃ for premixed methane (at WFR (Water Fuel Ratio) of 0) and 28 ℃ for non-premixed diesel (at WFR of 1). On the other hand, Cantera results for Vapor and for methane cases with water addition were in limit of 10 ℃ with CFD results for WFR between 0-0.5. Nevertheless, achieving a simulation accuracy within a 10 ℃ limit proved challenging due to limitations and potential sources of error in the in-house calculation sheet, combustion modelling, RANS simulations, and reaction mechanism.

One important aspect of stage performance for non-classical singers is stage monitoring. Amplified instruments along with drums often compete in frequency and sound level which affects the audibility on stage, both in detail and as a whole. This study qualitatively examines the non-classical singer’s creation of vocal expression linked to stage monitoring by collecting experiences from both singers and sound engineers. A survey answered by 40 singers, equal men and women, and interviews with 2 sound engineers aims to display the conditions of the matter where the ability to skilled and responsive communication is essential. This is the main theme of the study. The topics discussed are non-classical singers’ creative expression linked to audio technology and vocal pedagogy, conditions of audibility in stage performance such as acoustics, genre and technical equipment used for stage monitoring. Due to audibility on stage, changes occur in the voice’s amplitude, dynamic range, timbre and pitch. Poor monitor sound make singers uncomfortable when the focus gets placed on problem-solving rather than creating an artistic expression for the audience. Adjustments in stage monitoring during a live show requires communication between the singer and sound engineer, either hidden or in plain sight, depending on the overall condition of the performance. This study suggests that stage monitoring therefore affects the quality of stage performance. Loudspeaker monitoring tends to create high sound levels on stage and due to the directional characteristics of these speakers, the singer is limited to the “sweet spot”. In-ear monitoring on the other hand is less harmful to the ears, provides a more detailed monitor-mix independent of a sweet spot. However, this creates a sense of absence as well as musical and social disconnection. A design study has therefore been constructed using a stage monitor with an unconventional directional characteristic both vertically and horizontally.

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The research presented in this dissertation touches on all aspects of survey methodology, from questionnaire design to final estimation. We first approach the questionnaire development stage by proposing a method of developing matrix sampling designs, a design where a subset of questions are administered to a respondent in such a way that the administered questions are predictive of the omitted questions. The proposed methodology compares favorably to previous methods when applied to data collected from a household survey conducted in the Nampula province of Mozambique. We approach the data collection stage by proposing a structured procedure of implementing small-scale surveys in such a way that non-sampling error attributed to data collection is minimized. This proposed methodology requires the inclusion of the statistician in the data editing process during data collection. We implemented the structured procedure during the collection of household survey data in the city of Maputo, the capital of Mozambique. We found indications that the data resulting from the structured procedure is of higher quality than the data with no editing. Finally, we approach the estimation phase of sample surveys by proposing a model-based approach to the estimation of the mean squared error associated with synthetic (indirect) estimates. Previous methodology aggregates estimates for stability, while our proposed methodology allows area-specific estimates. We applied the proposed mean squared error estimation methodology and methods found during literature review to simulated data and estimates from 2010 Census Coverage Measurement (CCM). We found that our proposed mean squared error estimation methodology compares favorably to the previous methods, while allowing for area-specific estimates. / Ph. D.

Software radio is a radio that is substantially defined in software and whose physical layer behavior can be significantly altered through changes to its software. As a primary goal of software radio is the ability to support existing and future wireless protocols, software radio necessitates the use of a rapidly reprogrammable baseband processing solution. However third generation wireless protocols represent a significant increase in complexity over second generation protocols. Due to the natural performance sacrifices that must be made when moving an application from an Application Specific Integrated Circuit (ASIC) to a general purpose processor or a digital signal processor, it is feared that reprogrammable processing solutions may not suffice for the emerging wireless protocols, which would significantly hinder the realization of software radio, particularly in the handheld domain where power consumption and chip area are critical. Recently, the Configurable Computing Lab at Virginia Tech developed a new breed of reprogrammable processor which they called "custom computing machine" (CCM). Representing a dramatic departure from traditional architectures used for baseband processing solutions, CCMs utilize a large number of optimized and programmable processing cores connected through a programmable mesh. Due to this architectural approach, CCMs have been promoted as supplying a level of processing power and power efficiency similar to ASICs while providing a level of reconfigurability similar to that of a DSP. Subsequently, Dr. Srikathyayani Srikanteswara proposed a new software radio architecture, known as the Layered Radio Architecture, which is intended to facilitate the inclusion of CCMs into a software radio. The primary goal of the research presented in this thesis is to demonstrate how a particular CCM, Stallion, can be used within the Layered Radio Architecture to provide sufficient processing performance, power efficiency, and reconfigurability to meet the constraints of the handheld domain through implementations of a single user adaptive receiver with adaptive complex filtering and a W-CDMA downlink rake receiver. These metrics are measured from a detailed simulation of Stallion and the Configuration Layer of the Layered Radio Architecture using advanced object oriented programming techniques that facilitate the inclusion of statistics gathering routines into normal operation. To provide perspective, these statistics are compared to the performance that could be expected from an implementation on a top-of-the-line DSP. / Master of Science

Diese Dissertation befasst sich mit der industrienahen Herstellung von Katalysatorschichten für Polymer-Elektrolyt-Membran-Brennstoffzellen mit Hilfe des Tiefdrucks als Fertigungsverfahren. Um die Anforderungen an die Katalysatorschicht hinsichtlich der Schichtdicke zu erreichen, wird ein Linienraster für den Tiefdruck entwickelt. Das patentierte und verifizierte Designkonzept des Linienrasters ermöglicht es, trotz Tinten mit geringem Feststoffgehalt hohe Trockenschichtdicken zu erzeugen. Aufgrund des verwendeten Tiefdruckrasters sind Optimierungsschritte an der Fertigungsanlage notwendig, um eine hohe Schichtqualität zu erreichen. Schließlich werden kontinuierlich und industrienah Katalysatorschichten gefertigt, die als Membran-Elektroden-Einheit in einer Polymer-Elektrolyt-Membran-Brennstoffzelle erfolgreich eingesetzt werden. / This work presents an industrial close manufacturing process of active electrodes for Polymer Electrolyte Fuel Cells utilizing an adapted gravure printing process. To meet the requirements of the electrodes regarding the layer thickness (weight) and quality a novel line screen with maximized dipping volume for gravure printing was developed and investigated. A design rule for this kind of screens was realized and verified by a successful manufacturing of electrodes with different dried layer thicknesses. Due to the rough structure and the high dipping volumes of these line screens an adaption and optimization of the machinery and the whole process was necessary to achieve high quality electrodes. Finally, it is shown that it is possible to manufacture continuiously in an industrial close roll-to-roll process platinum loaded electrodes, working successful as cathode in a Membran-Electrode-Assembly.

Diesel engines produce large amounts of nitrogen oxides (NOX) while running. Nitrogen oxides are highly toxic and also contribute towards the formation of tropospheric ozone. Increasingly stringent legislation regarding the amount of nitrogen oxides that are allowed to be emitted from diesel-powered vehicles has forced manufacturers of diesel-engines to develop after-treatment systems that reduce the amount of nitrogen oxides in the exhaust. One of the main components in such a system is selective catalytic reduction (SCR), where nitrogen oxides are reduced to diatomic nitrogen and water with the help of ammonia. A vital part of this process is the spraying of a urea-water-solution (UWS), which is needed in order to produce the reducing agent ammonia. UWS spraying introduces the risk of solid deposits (such as biuret, ammelide and ammeline) forming in the after-treatment system, should the flow conditions be unfavourable. Risk factors include high temperatures, but also low dynamics and high thickness of the resulting liquid film that forms as the UWS spray hits the surfaces of the after-treatment system. It is thus essential that manufacturers of SCR after-treatment systems have correct data on how much UWS that should be sprayed into the exhaust for any given flow condition. Experimental tests are thoroughly used to assess this but are very expensive and are thus limited to prototype testing during product development. When assessing a wider range of concepts and geometries early on in the product development stage, simulation tools such as computational fluid dynamics (CFD) are used instead. One of the most computationally heavy processes to simulate within a SCR after-treatment system is the UWS spray and its interaction with surfaces inside the after-treatment system, where correct prediction of the formation of solid deposits are of great importance. Most CFD models used for this purpose hold a relatively good level of accuracy and are utilized throughout the whole industry where SCR aftertreatment is applied. Despite this, these models are limited in the fact that they are only able to cover timescales in the scope of seconds to minutes while using a tolerable amount of computational power. However, the time spectrum for solid deposit formation is minutes to hours. Scania is one of Sweden’s biggest developers of SCR after-treatment, with the technology being incorporated directly into its silencers. AVL Fire is the main UWS spray simulation tool for engineers at Scania at the moment. One major drawback of using AVL Fire for UWS spray simulations is that it is deemed too time-consuming to set up new cases and too unstable during simulation, which makes it too costly in terms of expensive engineering hours. This project has investigated the potential of using STAR-CCM+ for UWS spray simulations at Scania instead. A standard method has been evaluated, as well as parameters that will prove useful in further investigations of a potential speedup method. The studied method in STAR-CCM+ is easy to setup and the simulation process is robust and stable. Various other perks come from using STAR-CCM+ as well, such as: a user-friendly interface, easy and powerful mesh-generation and great post-process capabilities. Several different parameters have been investigated for their impact on the studied method, such as mesh refinement of the spray injector area and the number of parcels injected every time-step through the spray injector (simply put the resolution of the spray). A possible speedup by freezing the momentum equations when allowed and lowering the amount of inner iterations has also been investigated. A handful of operating conditions have been studied for two different geometries. The attained simulation results display correlations with physical measurements, but further assessment for identifying the risk of solid deposit needs to be performed on the studied cases to assess the full accuracy of solid deposit prediction of the studied method. Recommendations for future work includes fully implementing and evaluating the speedup method available for spray simulations in STAR-CCM+ as well as directly comparing how the accuracy and performance of the method relates to that of the method used in AVL Fire for spray simulations. / Dieselmotorer producerar under körning stora mängder kväveoxider (NOx). Kväve-oxider är starkt giftiga föreningar som även bidrar till att öka mängden marknära ozon. Allt strängare lagstiftning gällande mängden kväveoxider som får släppas ut från fordon med dieselmotorer har lett till att tillverkare av dieselmotorer blivit tvingade att utveckla efterbehandlingssystem som renar avgasen från motorn. En av huvudkomponenterna i ett sådant system idag är selective catalytic reduction (SCR; på svenska selektiv katalytisk reduktion), där kväveoxider omvandlas till kvävgas och vatten med hjälp av ammoniak. För att producera ammoniak används en lösning av urea och vatten (t.ex. AdBlue®), som introduceras till efterbehandlingssystemet via spray. Denna process har dock en stor nackdel, då det under omvandlingsprocessen kan finnas risk för klumpbildning av ämnen som biuret, ammelid och ammelin ifall flödesförhållandena är ogynnsamma. Riskfaktorer för klumpbildning inkluderar höga temperaturer samt låg dynamik och hög tjocklek för den vätskefilm som bildas när sprayen med urea-lösning kommer i kontakt med ytor i efterbehandlingssystemet. Det är därför av stor vikt för tillverkare av efterbehandlingssystem som använder SCR att känna till hur mycket urealösning som kan sprayas in för varje givet flöde. Experimentella tester används till stor del för att utvärdera detta, men är väldigt dyra och kan endast göras för ett fåtal prototyper under en produkts utveckling. För att kunna utvärdera ett större antal koncept och geometrier tidigare i utvecklingsstadiet av en ny produkt används därför ofta datorkraft med simuleringsverktyg som CFD (Computational Fluid Dynamics). En av de mest beräkningstunga processerna att simulera i ett efterbehandlingssystem med SCR är sprayandet av urea-lösning och dess interaktion med ytor, där korrekta förutbestämmelser av huruvida det finns risk för klumpbildning eller inte är av stor betydelse. De flesta CFD modeller som används i detta syfte har förhållandevis god noggrannhet och används i stor utsträckning i den bransch där efterbehandling med SCR tillämpas. Däremot är dessa modeller begränsade i att de endast kan åstadkomma simuleringar (med en acceptabel mängd datorkraft) som sträcker sig i tidsintervallet sekunder till minuter. Bildningen av klump är dock en process som kan ta upp till flera timmar. Scania är en av Sveriges största tillämpare av SCR, då tekniken används i de efterbehandlingssystem som finns inbyggda i tillverkarens ljuddämpare. Scania använder främst AVL Fire för simulering av spray med urea. AVL Fire anses dock vara för tidskrävande vid skapelsen av nya simuleringsfall och för instabilt under simulering. Detta projekt har därför undersökt möjligheten att använda STAR-CCM+ för simulering av spray med urea hos Scania. Den metod i STAR-CCM+ som utvärderats är enkel att använda då nya simuleringsfall ska skapas, samtidigt som den är robust och stabil under simulering. Relevanta parametrar för en potentiell uppsnabbningsmetod har också undersökts. STAR-CCM+ i sin helhet är användarvänligt, där verktyget för att skapa och generera mesh är enkelt att använda såväl som kraftfullt när mer avancerade operationer krävs. Möjligheterna för postprocessing är väldigt smidiga för transienta förlopp, vilket är ett stort plus för simuleringar med urea-spray, vars injektion och resulterande processer är väldigt transienta skeenden i sig. Flera olika parametrar har undersökts, för att granska hur stor påverkan de har på prestandan och noggrannheten hos den studerade metoden. Två av dessa är tätheten av beräkningsnoder i den region där spray-munstycket är placerat samt antalet paket med urea-vatten lösning som injiceras varje tidssteg via spray-munstycket. En möjlig uppsnabbning av metoden, som går ut på att frysa ekvationerna för bevarelse av rörelsemängd (eng - momentum equations) när det är tillåtet och samtidigt minska antalet inre iterationer för varje tidssteg, har också undersökts. Ett flertal olika flödesförhållanden har också undersökts för två olika geometrier. De erhållna resultaten tyder på korrelation med data från fysiska experiment. Dock bör ytterligare hydrodynamiska utvärderingar tillämpas för att ordentligt kunna redogöra för hur väl STAR-CCM+ kan användas för att förutse risken för klump- bildning i en spray-process med urea-vatten lösning. Framtida arbete borde fokusera på att utvärdera den uppsnabbningsmetod som finns för spray-simuleringar i STAR-CCM+, samt direkt jämföra hur väl metodens noggrannhet och prestanda står sig gentemot den metod som används i AVL Fire för spray-simuleringar.