Essays about: "textured surface"
Showing result 1 - 5 of 8 essays containing the words textured surface.
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1. An Investigation of How Hydrophobicity, Water, and Surface Topography Influence Macroscopic Particle Accumulation on Surfaces : A Case Study of Grass Accumulation on Robotic Lawn Mower
University essay from Jönköping University/JTH, Industriell produktutveckling, produktion och designAbstract : This master's thesis project investigates the impact of hydrophobicity and topology on dry and wet macroscopic particle accumulation on surfaces. The report begins by outlining the challenges associated with this phenomenon and the existing theories and methods used to study it, including adhesion, surface engineering, the Lotus effect, and humidity. READ MORE
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2. Effects of materials and texturing on wettability of ski base
University essay from Luleå tekniska universitet/Institutionen för teknikvetenskap och matematikAbstract : Cross-country skiing has turned into the most highly competitive winter sport, with skiers having the ability to win by merely milliseconds. Every year researchers, ski - technicians, and athletes come together to prepare the ski base surface that gives the best possible results. READ MORE
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3. Effect of the Textured Surface on Friction Coefficient
University essay from KTH/Industriell produktionAbstract : Friction continues to be one of the main causes of energy loss in mechanical systems despite the advances in technology. As a result, this not only involves energy overuse but also maintains high levels of CO2 emissions that cannot be assumed if society wishes to shift towards a more sustainable industry. READ MORE
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4. Exploratory study of the interactions between textured alumina coatings and steel
University essay from KTH/MaterialvetenskapAbstract : The crater wear of alumina coated WC-Co cutting tools is thought to be influenced by the chemical reactions between the coating and the workpiece material. Three different crystal orientations ((001), (012), and (100) of alpha alumina CVD coatings are examined in combination with four workpiece materials of steel to establish what reactions are present, and the extent of diffusion. READ MORE
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5. Terrain Classification to find Drivable Surfaces using Deep Neural Networks : Semantic segmentation for unstructured roads combined with the use of Gabor filters to determine drivable regions trained on a small dataset
University essay from KTH/Robotik, perception och lärande, RPLAbstract : Autonomous vehicles face various challenges under difficult terrain conditions such as marginally rural or back-country roads, due to the lack of lane information, road signs or traffic signals. In this thesis, we investigate a novel approach of using Deep Neural Networks (DNNs) to classify off-road surfaces into the types of terrains with the aim of supporting autonomous navigation in unstructured environments. READ MORE