This work deals with composite sandwich panels, which are currently used as supporting structures for satellites. This type of panel contains an aluminum honeycomb core and two thin laminate coatings, reinforced with carbon fibers. Laminate sandwich panel coatings offer an alternative to conventional aluminum coatings, which is advantageous mainly due to the reduction of weight and increase of the flexural stiffness of the panels. The work is a parametric study of mechanical properties for several variants of the coating of sandwich panels. These are laminate coatings, differing in the orientation of the fibers in the individual layers, as well as an aluminum alloy coating. The study is divided into two parts. The first part examines the deformation-stress response of a sandwich panel, which is simply supported at the edges and loaded with pressure. The response calculation is performed using FEM and verified by the method of sum of an infinite series. The second part investigates the deformation-stress response of the joint, (node) of two sandwich panels, which is loaded by random vibrations, aimed at simulating the mechanical environment of the rocket carrier during the takeoff of the launch vehicle. The response is calculated using FEM and verified by an experiment on a vibrating stool for a selected variant of the laminate coating of sandwich panels. The results of the work can be used for the design of baffle of the X-ray imaging device (SXI), which is part of the equipment of the space satellite of the SMILE project.

Cílem práce bylo vyvinout vložku se speciálními mechanickými vlastnostmi pro satelitní strukturu ze sendvičových panelů. Problém byl analyzován a byla navržena inovativní konstrukce vložky založená na existující aplikaci, přičemž byla brána v potaz proveditelnost výroby. Návrh byl ověřen pomocí metody konečných prvků. Práce se také zabývá technologickým návrhem výroby vložky. Nakonec byla představena metodologie zkoušky pro ověření návrhu vložky.

The master`s thesis deal with analysis of machining technology of the bolt from the superalloy Ni80TiAl for the company Sanborn a.s. The aim of the thesis is the project of new technology by usage of new tool, indexable inserts and cutting conditions. The results are speedup of the roughing operation, reduction of the manufacturing cost and the product price.

This study states basic technological aspects of metal machining with cutting inserts, with special stress on coated carbide cutting inserts. Among others, it states wear-out theory incl. wear-out accompaniments, problems of chip-forming and other factors of metal machining. At the end of the study, it contents a description of the latest cutting materials and construction elements of cutting inserts from reputable producers and, for some of them, also the course and the results of practical tests and comparison.

The main topic of thesis is a measurement realized on the fireplace-insert. Thesis is consists of three parts. First part is focused on wood combustion and overview of fireplace-inserts construction. Second part contains the description of fireplace-insert Bety and accomplished construction changes. Third and main part is consists from measurements, calculations and finally assessments of measurement´s configurations.

Stationary spiral inserts can effectively enhance heat transfer and temperature blending in the heat convection systems. In this paper, the impact of the segment length on the performance of a stationary insert is studied for flow Re numbers from ~80 to ~7900 through numerical simulation of heat transfer in streams of cold and hot gases flowing across it. The segment length to width ratio is from 1.11 to 2.33. The temperature of the studied gas is from 300 K to 1300 K. It is shown that the insert with variable segment length is more effective in temperature blending for two compressible streams compared with an insert with constant segment length, especially for low-Re-number turbulent flows.

En lämplig pumpanordning är avgörande för hantering av stora mängder vatten. I det här arbetet kommer fokus ligga på pumpar som består av öppna pumphjul. Vid montering av pumpen bildas en spalt mellan insatsring och pumphjul, som bör ligga inom intervallet 0,5–0,8 mm för optimal effekt. Beroende på toleranskedjor i pumpens ingående komponenter varierar denna spalt mellan olika fall. Spalten justeras idag genom trimbrickor som placeras under insatsringen. Processen kallas för trimning och kräver en mer tidseffektiv lösning eftersom dagens lösning bygger på metoden ”trial and error”. Målet med projektet var således att konstruera ett universalverktyg i syfte att effektivisera trimningsprocessen tidsmässigt. Vidare var målet att även testa verktygets funktionalitet genom en 3D prototyp. Projektet avgränsades i sin tur till att inte undersöka alternativa trimningsmetoder, designändringar på pumpen, tillverkningskostnader samt materialval. Arbetet startades genom ett produktionsbesök i syfte att öka förståelsen kring problemet samt det aktuella pumpsortimentet. Vidare undersöktes bland annat befintliga mätverktyg, standardkomponenter samt relevant antropometri. Dessutom analyserades diverse funktioner och behov som verktyget behövde uppfylla. Därefter påbörjades idegenereringsarbetet främst genom brainstorming, varvid ett koncept valdes för vidareutveckling. Det slutgiltiga resultatet är ett universalverktyg som går att tillämpa på samtliga pumpar i sortimentet för att effektivisera trimningsprocessen. / A suitable pumping device is essential for handling large quantities of water. This study focuses on pumps consisting of open impellers. When installing the pump, a gap is formed between the insert ring and impeller. This gap should be within the range of 0.5–0.8 mm for optimal effect. Depending on tolerance chains in the pump's constituent components, this gap varies between different cases. Currently, the gap is adjusted using trim washers that are placed beneath the insert ring. The process is called trimming and requires a more time efficient solution since the current solution is based on a "trail and error" method. Therefore, the objective of the project was to construct a universal tool with the aim of streamlining the trimming process in terms of time. Additionally, the goal was to test the tool's functionality through a 3D prototype. In turn, the project was limited to not investigating alternative trimming methods, design changes to the pump, manufacturing costs and material selection. The work was commenced through a production visit with the aim of increasing comprehension of the problem and the current pump range. Furthermore, an examination of existing measuring tools, standard components and relevant anthropometry was carried out. In addition, various functions and needs that the tool required to fulfill were analyzed. Thereafter, the idea generation work began mainly through brainstorming, whereby a concept was chosen for further development. The result of the project is a universal tool that can be applied to all pumps in the range to streamline the trimming process.

Diffusion Magnetic Resonance Imaging (DMRI) is a class of Magnetic Resonance Imaging (MRI) techniques with broad medical applications ranging from characterization of tumors and brain damage to potential prediction of stroke. Gradient coil and signal-to- noise ratio (SNR) constraints limit spatial resolution, accuracy, and scan time in DMRI. Achieving high b-values (measures of a scan's sensitivity to diffusion) often require scans with long diffusion gradient pulses, leading to significant magnetic resonance (MR) signal decay before the signal can be sampled. This signal loss reduces the accuracy of diffusion parameter estimation. The ability to sample the MR signal sooner while maintaining the same b-value is restricted by the maximum amplitude and slew rate of gradient coils. A composite system utilizing body and high-powered insert gradient coils can achieve high b-values more quickly, enabling a shorter delay between excitation and signal sampling and improved accuracy of diffusion parameter estimation. Alternately, such a system can achieve higher b-values at an equivalent delay between excitation and signal sampling. This thesis describes the implementation of such a system, experiment design for evaluating the benefits of the system to DMRI, and design of a diffusion phantom. Also included are a characterization of a composite system's improvements to DMRI based on analysis of experimentally-obtained data and simulation results validating those findings. Finally, recommendations for further improvements to diffusion MRI are given.

The need for automation is increasing at Sandvik Coromant. However, high equipment-, education-, and implementation costs connected to automation are usually obstacles when automating smaller and simpler tasks. During the recent years, a new type of robot has been introduced to the market. It is called a collaborative robot, or cobot. It is easy to use/program, has a lower cost and has built-in safety features. The user friendliness of the robot as well as the built-in safety features could lower the implementation costs of these robots to open new areas for automation. This thesis evaluates a cobot from Universal Robots, UR5, to determine if such technology could be useful at Sandvik Coromant’s Insert Plant in Gimo, Sweden. This would be done by performing a physical demonstration of a UR5 put into Sandvik Coromants production. The task includes identifying, conceptualizing and evaluating the possible applications where cobots could create the most value. The work showed that cobots are indeed easy to work with and could create more areas of automation. However, the way Sandvik Coromant looks at automation should change for the technology to make the biggest impact. A company guideline must be setup regarding the use of the built-in safety features to set a limit of what is acceptable when creating an open cell environment at the factory. The results and conclusion of this thesis will hopefully lead to the implementation of collaborative robots at Sandvik Coromant which will result to lower automation costs, better working environment and higher production. / Automationsbehovet på Sandvik Coromant har ökat under de senaste åren. Höga utrustnings-, utbildnings-, och utvecklingskostnader kopplade till automation sätter oftast stopp för automation av mindre och enklare uppgifter. Under de senaste åren har en ny typ av robot blivit introducerad på marknaden. Den kallas för samverkansrobot, eller cobot. Den är enkel att använda/programmera, har lägre kostnad och inbyggda säkerhetsfunktioner. Användarvänligheten av roboten samt de inbyggda säkerhetsfunktionerna kan leda till lägre implementationskostnader, som öppnar nya möjligheter för automation. Detta mastersarbete utvärderar en cobot från Universal Robots, UR5, för att fastställa om sådan teknologi kan vara användbar på Sandvik Coromants skärfabrik i Gimo, Sverige. Utvärderingen kan göras genom att fysisk demonstration av UR5 i Sandvik Coromants produktion genomförs. Uppgiften består av att identifiera, konceptualisera och utvärdera de applikationer i fabriken där samarbetsrobotar skulle kunna skapa mest värde. Arbetet visade att cobots är enkla att arbeta med och kan skapa mer möjligheter för automation. Dock så måste sättet Sandvik Coromant ser på automation att ändras för att teknologin ska ha störst inverkan. En intern riktlinje måste skapas angående användandet av de inbyggda säkerhetssystemen för att sätta en gräns på vad som är accepterat ur en arbetsmiljösynpunkt när det gäller öppna robotceller. Resultaten och slutsatsen av arbetet kommer förhoppningsvis leda till implementering av samverkansrobotar på Sandvik Coromant som i sin tur leder till lägre automationskostnader, bättre arbetsmiljö och högre produktion.

Yes / Solar activity, particularly solar flares can have significant detrimental effects on both space-borne and grounds based systems and industries leading to subsequent impacts on our lives. As a consequence, there is much current interest in creating systems which can make accurate solar flare predictions. This paper aims to develop a novel framework to predict solar flares by making use of the Geostationary Operational Environmental Satellite (GOES) X-ray flux 1-minute time series data. This data is fed to three integrated neural networks to deliver these predictions. The first neural network (NN) is used to convert GOES X-ray flux 1-minute data to Markov Transition Field (MTF) images. The second neural network uses an unsupervised feature learning algorithm to learn the MTF image features. The third neural network uses both the learned features and the MTF images, which are then processed using a Deep Convolutional Neural Network to generate the flares predictions. To the best of our knowledge, this work is the first flare prediction system that is based entirely on the analysis of pre-flare GOES X-ray flux data. The results are evaluated using several performance measurement criteria that are presented in this paper.