Search for dissertations about: "Geometric Reverse Engineering"
Showing result 1 - 5 of 7 swedish dissertations containing the words Geometric Reverse Engineering.
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1. Segmentation and fitting for geometric reverse engineering : processing data captured by a laser profile scanner mounted on an industrial robot
Abstract : Geometric Reverse Engineering (GRE) is the problem of creating CAD models of real objects by measuring point data from their surfaces. The GRE process is usually divided into four sub processes, data capturing, preprocessing, segmentation, fitting and finally CAD model creation. To automate the GRE process the sub processes need to be integrated. READ MORE
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2. Methods for Simulation and Characterization of Nonlinear Mechanical Structures
Abstract : Trial and error and the use of highly time-consuming methods are often necessary for modeling, simulating and characterizing nonlinear dynamical systems. However, for the rather common special case when a nonlinear system has linear relations between many of its degrees of freedom there are particularly interesting opportunities for more efficient approaches. READ MORE
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3. An industrial robot as carrier of a laser profile scanner : motion control, data capturing and path planning
Abstract : Geometric Reverse Engineering (RE) is concerned with the problem of creating CAD-models of real objects by measuring point data from their surfaces. In the aim of creating a fully automatic RE system there is a need to automate also the measuring process. READ MORE
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4. Planar segmentation for Geometric Reverse Engineering using data from a laser profile scanner mounted on an industrial robot
Abstract : Laser scanners in combination with devices for accurate orientation like Coordinate Measuring Machines (CMM) are often used in Geometric Reverse Engineering (GRE) to measure point data. The industrial robot as a device for orientation has relatively low accuracy but the advantage of being numerically controlled, fast, flexible, rather cheap and compatible with industrial environments. READ MORE
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5. Iterative and Adaptive PDE Solvers for Shared Memory Architectures
Abstract : Scientific computing is used frequently in an increasing number of disciplines to accelerate scientific discovery. Many such computing problems involve the numerical solution of partial differential equations (PDE). READ MORE