| New technological progress has enabled CAD softwares to incorporate engineering know-how into the design process in order to improve product quality, shorten design time and reduce costs. Any manufacturer has an accumulated know-how related to design, production and performance of existing and previously manufactured products. Accessibility and possibility of reusing this accumulated knowledge is a key factor for optimizing design and performance of a new product. Efficient procedures for identifying similarity between a new possible product and items listed in the existing product data bases enables a design engineer to easily find a base for design of the new product. So the new design can be well optimized using know-how from design, production and performance of an existing product.
In the Institute of Computer-aided Product Development Systems (IRIS), the high level of similarity comparison methods are used for shape evaluation and feature recognition of the former designs; in order to transfer the know-how as a potential model. In the current study a novel way of 3D laser-scanning is applied to extract the geometrical information of a product, respect to reverse engineering. This geometrical data beside other detail specification of a product will be saved in a comprehensive database. A proper optimization algorithm should be developed to propose the most similar design from database considering different conditions.
Aims of the diplomarbeit:
- Installing and getting results from DAVID 3D laser scanner
- Defining a well-designed database to store different information of an object
- Archiving, categorizing and a fast access to the database
- On top of the database, an optimization algorithm should be developed to create a broad searching possible
- Documentation of the results
Requirements:
- Good knowledge about database
- Familiarity with programming, specially with MATLAB
- Interest to read and generate documents about the topic
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