A New Reverse Engineering Methodology Based on Knowledge Extraction and Geometrical Recognition Approaches

DS 58-1: Proceedings of ICED 09, the 17th International Conference on Engineering Design, Vol. 1, Design Processes, Palo Alto, CA, USA, 24.-27.08.2009

Year: 2009
Editor: Norell Bergendahl, M.; Grimheden, M.; Leifer, L.; Skogstad, P.; Lindemann, U.
Author: Durupt, Alexandre; Remy, Sebastien; Ducellier, Guillaume; Guyot, Emmanuel
Series: ICED
Section: Design Processes
Page(s): 229-240

Abstract

Reverse engineering (RE) is a research field where physical models are measured or digitized in order to be virtually rebuilt to obtain a CAD model. Today, rebuilt CAD models using current geometrical approaches are generally "frozen" or barely re-usable. This paper deals with a new reverse engineering approach. This one improves the classical geometrical approach with a knowledge extraction phase. This improvement enables to define a new methodology that assists the user during the reverse engineering process. The obtained CAD model is not a set of surface but a real set of design features structured in a design tree with constraints, parameters, rules and relationships. This structure enables to "unfreeze" the geometry of the model and really allows to re-study and to redesign the original physical model.

Keywords: Reverse engineering, Segmentation, Feature recognition, Knowledge based system

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