Automatic CAD Assemblies Generation by Linkage Graph Overlay for Machine Learning Applications
Article dans une revue avec comité de lecture
Auteur
VERGEZ, Lucas 
PERNOT, Jean-Philippe POLETTE, ArnaudRésumé
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 between components of
different assemblies while analyzing the associated graphs. Finally, it exchanges the
similar components. The similarities in a family of components must be formalized
by the user. Then the similar components can be replaced by the other through smart
placements. This method allows to automatically generate a wide variety of new
consistent assemblies sharing the same semantics, in order to create databases of
CAD assemblies ready for machine learning applications. It has been validated on
several cases.
Fichier(s) constituant cette publication
Cette publication figure dans le(s) laboratoire(s) suivant(s)
Documents liés
Visualiser des documents liés par titre, auteur, créateur et sujet.
-
Communication avec acte;PERNOT, Jean-Philippe; POLETTE, 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 ...
-
Interface-Based Search and Automatic Reassembly of CAD Models for Database Expansion and Model Reuse Article dans une revue avec comité de lecture;POLETTE, Arnaud; PERNOT, Jean-Philippe (Elsevier BV, 2024-02)
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. ...
-
Article dans une revue avec comité de lecture;POLETTE, Arnaud; PERNOT, 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 ...
-
Article dans une revue avec comité de lecture; ; ;PERNOT, Jean-Philippe; POLETTE, 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 ...
-
Ouvrage scientifique;POLETTE, Arnaud; ; ; PERNOT, 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 ...
