In recent years, laser scanning has been applied in the manufacturing industry as a tool for inspection and 3-D digitization as well as in reverse engineering. It has many advantages compared with the traditional contact measurement techniques, such as coordinate measuring machines (CMM). In order to perform laser scanning more efficiently, automated laser scanning planning needs to be developed based on the CAD model of a given part. This research presents a computer-aided planning method for laser scanner based on CAD model of the part. The method integrates three planning criteria, namely visibility, efficiency, and accuracy into the planning system. A feature differentiation method, based on the ray tracing algorithm, is proposed and applied to detect steep walls of certain deep concavity features, such as slots, holes, and pockets, which are very hard to reach by laser scanning but are suitable for CMM probing. The proposed methods and algorithms have been implemented and integrated into a Computer-Aided Laser-scanning Planner (CALP) for inspection applications. An artifact block with five planar surfaces is used to test the scanning plan which is generated from the proposed methods. (Abstract shortened by UMI.)Dept. of Industrial and Manufacturing Systems Engineering. Paper copy at Leddy Library: Theses & Major Papers - Basement, West Bldg. / Call Number: Thesis2001 .Y35. Source: Masters Abstracts International, Volume: 41-04, page: 1172. Adviser: Hoda Elmaraghy. Thesis (M.A.Sc.)--University of Windsor (Canada), 2002.
Computer-aided planning for laser scanning.
2002-01-01
Electronic Theses and Dissertations
Theses
Electronic Resource
English
DDC: | 629 |
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