![]() Files constructed with CATIA V5, and search engines written with Python have been used for the implementation. All approaches run automatically, and have the analysis of the structure tree in common. The third one compares one given reference part with all parts in the database, and locates files that are identical, or similar to, the reference part. The second program uses certain user input as search parameters, and therefore has the ability to perform personalized queries. The first search engine is specializes in the discovery of standard parts, like screws or washers. A preparation program generates one XML-file for every model, which in addition to including the data of the structure tree, also owns certain physical properties of each part. The analysis of the contained information is performed by the export of the data that is stored in the structure trees of the CAD-models. This paper presents three different search engines for the detection of CAD-parts in large databases.
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