Articolo in rivista, 2021, ENG, 10.14733/cadaps.2021.1247-1264
B. Bonino, F. Giannini, M. Monti, R. Raffaeli
DIME, Universitá degli Studi di Genova, Italy; IMATI, Consiglio Nazionale delle Ricerche, Italy; DISMI, Universitá degli Studi di Modena e Reggio, Italy
In industrial manufacturing, both in the design and the production phase, the management of modern mechanical assemblies is becoming demanding due to their increasing complexity. The use of stable subassemblies concept constitutes a better alternative, which allows to independently treat smaller groups of the assembly's parts, also to achieve a parallel production. At this regard, several methods for automatic subassemblies identifi-cation, starting from the assembly CAD model, have been provided. However, most of the methodologies proposed rely on human intervention, especially in the model processing to make available essential data, while other details are ignored. After giving the definition of stable subassembly, this paper focuses on the application of stable subassemblies identification to industrial CAD models and highlights the issues arising. With the aim of ensuring a reliable CAD model analysis, starting point of the identification, the possible real engineering situations, both related to assembling methods and modelling techniques, are presented. Ap-proaches to algorithmically address them are then described, with the help of two examples of mechanical assemblies.
Computer-Aided Design and Applications 18 (6), pp. 1247–1264
Subassembly identification, Stable subassembly, Assembly analysis, Industrial CAD model
Bonino Brigida, Monti Marina, Giannini Franca
IMATI – Istituto di matematica applicata e tecnologie informatiche "Enrico Magenes"
ID: 454178
Year: 2021
Type: Articolo in rivista
Creation: 2021-05-21 12:49:55.000
Last update: 2022-08-07 12:55:21.000
CNR authors
External links
OAI-PMH: Dublin Core
OAI-PMH: Mods
OAI-PMH: RDF
DOI: 10.14733/cadaps.2021.1247-1264
URL: http://www.scopus.com/inward/record.url?eid=2-s2.0-85102355030&partnerID=q2rCbXpz
External IDs
CNR OAI-PMH: oai:it.cnr:prodotti:454178
DOI: 10.14733/cadaps.2021.1247-1264
Scopus: 2-s2.0-85102355030