Master Thesis MSTR-2014-02

BibliographyMoskalenko, Stanislav: Modeling of an automatic CAD-based feature recognition and retrieval system for group technology application.
University of Stuttgart, Faculty of Computer Science, Electrical Engineering, and Information Technology, Master Thesis No. 2 (2014).
100 pages, english.

In recent time, many researches have come up with new different approaches and means for Computer-Aided Design (CAD) and Computer-Aided Manufacturing (CAM) integration. Computer-Aided Process Planning (CAPP) is considered to be a bridge that connects these both technologies. CAPP may involve such an important technique as automatic feature extraction - a procedure that is engaged in process plans generation to be used in producing a designed part. Also in terms of CAD, the feature extraction procedure facilitates a cooperative design and process planning within the entire product development process. The main objective of the thesis is to present a new automatic feature extraction and classification system that is able to process mechanical rotational and non-rotational parts from the Opitz Code System point of view. The implemented system takes Standard for Exchange of Product data (STEP) - a neutral product representation format as input and extracts features of parts required for further manufacturing. The STEP format is used to provide geometrical and topological information about machining parts. A methodology to extract shape features was developed based on these geometrical and topological data. As output, the proposed system codes the extracted part features to Opitz Code System. CAD product files were taken from official manufacturers of mechanical parts in order to evaluate the developed system.

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Department(s)University of Stuttgart, Institute of Computer-aided Product Development Systems, Computer-aided Product Development Systems
Superviser(s)Roller, Prof. Dieter; Karastoyanova; Jun.-Prof. Dimka; Zehtaban, Leila
Entry dateMay 27, 2019
   Publ. Computer Science