• français
    • English
    English
  • Ouvrir une session
Aide
Voir le document 
  •   Accueil de SAM
  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)
  • Voir le document
  • Accueil de SAM
  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)
  • Voir le document
JavaScript is disabled for your browser. Some features of this site may not work without it.

Interface-Based Search and Automatic Reassembly of CAD Models for Database Expansion and Model Reuse

Article dans une revue avec comité de lecture
Auteur
VERGEZ, Lucas
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
ccPOLETTE, Arnaud
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]
ccPERNOT, Jean-Philippe
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]

URI
http://hdl.handle.net/10985/26193
DOI
10.1016/j.cad.2023.103630
Date
2024-02
Journal
Computer-Aided Design

Résumé

This paper introduces a new framework for reassembling CAD models of mechanical parts. The generated CAD assemblies are well-constrained, with collision-free parts, and they are ready-to-use for downstream applications. First, input dead CAD models candidate for the reassembly are sorted following a part-by-part interface-based identification algorithm that is capable of characterizing each part according to the assembly slots and interfaces it offers. The slots are then hashed, and the resulting keys are used for fast search of parts in the database. Thus, the parts that can be assembled are quickly identified, and their assembly can be considered according to various scenarios. To support the reassembly steps and satisfy the constraints associated with the specified interfaces, a collision-free kinematic constraint solver is also proposed. During the reassembly steps, the geometry of the slots can also be automatically modified to adjust their dimensions, in order to ensure a perfect fit and to avoid interference at the level of the interfaces. The resulting database can also be further expanded while modifying the relative positions/orientations of the assembled parts. The approach is illustrated on several test cases covering different exploitation scenarios, ranging from simple model reuse to database expansion for machine learning-based applications. Such an automatic reassembly process is particularly innovative, and it clearly paves the way for smart assembly procedures.

Fichier(s) constituant cette publication

Nom:
LISPEN_CAD_2024_PERNOT.pdf
Taille:
3.577Mo
Format:
PDF
Voir/Ouvrir

Cette publication figure dans le(s) laboratoire(s) suivant(s)

  • Laboratoire d’Ingénierie des Systèmes Physiques Et Numériques (LISPEN)

Documents liés

Visualiser des documents liés par titre, auteur, créateur et sujet.

  • Automatic CAD Assemblies Generation by Linkage Graph Overlay for Machine Learning Applications 
    Article dans une revue avec comité de lecture
    VERGEZ, Lucas; ccPERNOT, Jean-Philippe; ccPOLETTE, Arnaud (CAD Solutions, LLC, 2021-11-29)
    This paper introduces an approach to synthetize new CAD assemblies from existing STEP files. The algorithm first generates linkage graph by detecting linkage between components. Then it detects linkages similarities ...
  • Automatic CAD Assemblies Generation by Linkage Graph Overlay for Machine Learning Applications 
    Communication avec acte
    VERGEZ, Lucas; ccPERNOT, Jean-Philippe; ccPOLETTE, Arnaud (CAD, 2021-07-05)
    Enlarging 3D model databases by shape synthesis is a large field of research. Indeed, the use of machine learning techniques requires a huge amount of labeled CAD models, and it is therefore crucial to rely on large ...
  • Multi-part kinematic constraint prediction for automatic generation of CAD model assemblies using graph convolutional networks 
    Article dans une revue avec comité de lecture
    VERGEZ, Lucas; ccPOLETTE, Arnaud; ccPERNOT, Jean-Philippe (Elsevier BV, 2025-01)
    This paper presents a machine learning-based approach to predict kinematic constraints between CAD models that have potentially never been assembled together before. During the learning phase, the algorithm is trained ...
  • Survey on the View Planning Problem for Reverse Engineering and Automated Control Applications 
    Article dans une revue avec comité de lecture
    PEUZIN-JUBERT, Manon; NOZAIS, Dominique; MARI, Jean-Luc; ccPERNOT, Jean-Philippe; ccPOLETTE, Arnaud (Elsevier BV, 2021-12)
    At present, optical sensors are being widely used to realize high quality control or reverse engineering of products, systems, buildings, environments or human bodies. Although the intrinsic characteristics of such ...
  • A Data Structure for Developing Data-Driven Digital Twins 
    Ouvrage scientifique
    ORUKELE, Oghenemarho; ccPOLETTE, Arnaud; GONZALEZ LORENZO, Aldo; MARI, Jean-Luc; ccPERNOT, Jean-Philippe (Springer Nature Switzerland, 2024-06)
    Digital twins have the potential to revolutionize the way we design, build and maintain complex systems. They are high-fidelity representations of physical assets in the digital space and thus allow advanced simulations ...

Parcourir

Tout SAMLaboratoiresAuteursDates de publicationCampus/InstitutsCe LaboratoireAuteursDates de publicationCampus/Instituts

Lettre Diffuser la Science

Dernière lettreVoir plus

Statistiques de consultation

Publications les plus consultéesStatistiques par paysAuteurs les plus consultés

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales