Geometric and form feature recognition tools applied to a design for assembly methodology

Olivier Coma (1) , Christian Mascle (1) , Philippe Veron (2)

1 EPM - École Polytechnique de Montréal
2 LSIS- INSM - Laboratoire des Sciences de l'Information et des Systèmes : Ingénierie Numérique des Systèmes Mécaniques

The paper presents geometric tools for an automated Design for Assembly (DFA) assessment system. For each component in an assembly a two step features search is performed: firstly (using the minimal bounding box) mass, dimensions and symmetries are identified allowing the part to be classified, according to DFA convention, as either rotational or prismatic; secondly form features are extracted allowing an effective method of mechanised orientation to be determined. Together these algorithms support the fuzzy decision support system, of an assembly-orientated CAD system known as FuzzyDFA.

Mots clés: Bounding box; Design for assembly; Feature recognition; Fuzzy logic; Orientation analysis; Symmetry

Domaines: Ingénierie assistée par ordinateur

Olivier Coma, Christian Mascle, Philippe Veron. Geometric and form feature recognition tools applied to a design for assembly methodology. Computer-Aided Design, 2003, 35, pp.1193-1210. ⟨hal-01024775⟩