Essays about: "XCT"
Showing result 1 - 5 of 6 essays containing the word XCT.
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1. Characterization of cross-country ski base material
University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikAbstract : Cross-country skiing has developed to become one of the most competitive winter sports, where a skier can win by fractions of seconds. Joint efforts between ski technicians and scientist have allowed the development of methodologies to prepare the ski surface, yet much of the knowledge up to date is based on the experience of the technicians. READ MORE
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2. Extraction and Quantification of Features in XCT Datasets of Fibre Reinforced Polymers using Machine Learning Techniques
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This master’s thesis shows the extraction, quantification and visual analysis of pores and individual fibres in fibre reinforced polymer (FRP)materials. The core methods used and advanced for this purpose are tailored deep learning techniques, which are coupled with interactive visualisation. READ MORE
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3. Surface characterization in Additive Manufacturing - An empirical study of angular dependency
University essay from Lunds universitet/InnovationAbstract : Surface roughness is one of the main challenges for the growing industry of additive manufacturing. Not only are surfaces rougher than on components produced by conventional means, but there is also a great variation within a single component as well. READ MORE
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4. Wrinkling in packaging material: Experiments and thermo-mechanical stochastic modeling
University essay from Lunds universitet/HållfasthetsläraAbstract : As one of the world leaders in food packaging, it is in the interest of Tetra Pak⃝R to increase the understanding of packaging material and how it can better be virtually modeled, using finite element (FE) simulations. The aim of this thesis is to evaluate whether a stochastic approach can be taken to generate a more realistic response than a purely deterministic one, in the aforementioned models. READ MORE
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5. Classification of Drill Core Textures for Process Simulation in Geometallurgy : Aitik Mine, Sweden
University essay from Luleå tekniska universitet/Mineralteknik och metallurgiAbstract : This thesis study employs textural classification techniques applied to four different data groups: (1) visible light photography, (2) high-resolution drill core line scan imaging (3) scanning electron microscopy backscattered electron (SEM-BSE) images, and (4) 3D data from X-ray microtomography (μXCT). Eleven textural classes from Aitik ores were identified and characterized. READ MORE