Search for dissertations about: "shape transition"
Showing result 1 - 5 of 173 swedish dissertations containing the words shape transition.
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1. Numerical Methods for Aerodynamic Shape Optimization
Abstract : Gradient-based aerodynamic shape optimization, based on Computational Fluid Dynamics analysis of the flow, is a method that can automatically improve designs of aircraft components. The prospect is to reduce a cost function that reflects aerodynamic performances. READ MORE
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2. Lipid Nanotube Networks: Shape Transitions and Insights into the Dynamics of Self-Organization
Abstract : Nanotube-vesicle networks (NVNs) are simplified models of cell membrane tubular systems which are dynamic transportation routs for molecular cargoes in biological cells. The presented work describes dynamic properties of NVNs such as self-organization, shape and topology transformations; moreover, specific geometric properties of the networks are used for controlling enzymatic reactions. READ MORE
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3. Receptivity of Boundary-Layer Flows over Flat and Curved Walls
Abstract : Direct numerical simulations of the receptivity and instability of boundary layers on flat and curved surfaces are herein reported. Various flow models are considered with the aim to capture aspects of flows over straight and swept wings such as wall curvature, pressure variations, leading-edge effects, streamline curvature and crossflow. READ MORE
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4. Tunable Magnetic Properties of Transition Metal Compounds
Abstract : The magnetic properties of transition metal compounds have been studied using SQUID-magnetometry, magnetic force microscopy and Lorentz transmission electron microscopy. New magnetic materials have been found and their magnetic properties have been determined. How the magnetic properties of a material can be changed through e.g. READ MORE
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5. Adjoint-based aerodynamic shape optimization
Abstract : An adjoint system of the Euler equations of gas dynamics is derived in order to solve aerodynamic shape optimization problems with gradient-based methods. The derivation is based on the fully discrete flow model and involves differentiation and transposition of the system of equations obtained by an unstructured and node-centered finite-volume discretization. READ MORE