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

 

Le LISPEN met en synergie les compétences d’enseignants-chercheurs des campus d’Aix-en- Provence de Cluny (Institut Image à Chalon sur Saône) et de Lille autour de la maîtrise du développement et l’exploitation des systèmes dynamiques multi-physiques et virtuels pour l’Industrie du Futur. Les thématiques de recherche traitent de l’Ingénierie Système & Maquette numérique, la Simulation et le Contrôle des systèmes, l’Interaction Homme-Système et l’Aide à la décision.
http://lispen.ensam.eu/

Recent Submissions

  • eCAD-Net: Editable Parametric CAD Models Reconstruction from Dumb B-Rep Models Using Deep Neural Networks 
    Article dans une revue avec comité de lecture
    ZHANG, Chao; PINQUIE, Romain; CARASI, Gregorio; DE CHARNACE, Henri; ccPERNOT, Jean-Philippe (Elsevier BV, 2025-01)
    This paper introduces a novel framework capable of reconstructing editable parametric CAD models from dumb B-Rep models. First, each B-Rep model is represented with a network-friendly formalism based on UVgraph, which ...
  • Machine learning-based 3D scan coverage prediction for smart-control applications 
    Article dans une revue avec comité de lecture
    LI, Tingcheng; ccPOLETTE, Arnaud; LOU, Ruding; JUBERT, Manon; NOZAIS, Dominique; ccPERNOT, Jean-Philippe (Elsevier BV, 2024-11)
    Automatic control of a workpiece being manufactured is a requirement to ensure in-line correction and thus move towards a more intelligent manufacturing system. There is therefore a need to develop control strategies which ...
  • Interface-Based Search and Automatic Reassembly of CAD Models for Database Expansion and Model Reuse 
    Article dans une revue avec comité de lecture
    VERGEZ, Lucas; ccPOLETTE, Arnaud; ccPERNOT, 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. ...
  • Systematic comparison of digital maturity assessment models 
    Article dans une revue avec comité de lecture
    COGNET, Bruno; ccPERNOT, Jean-Philippe; RIVEST, Louis; DANJOU, Christophe (Informa UK Limited, 2023-08)
    Assessing the digital maturity of companies is essential to prepare for digital transformation in the context of Industry 4.0. Several digital maturity assessment models have emerged in the past few years to support this ...
  • Automatic 3D CAD models reconstruction from 2D orthographic drawings 
    Article dans une revue avec comité de lecture
    ZHANG, Chao; ccPOLETTE, Arnaud; CARASI, Gregorio; DE CHARNACE, Henri; ccPERNOT, Jean-Philippe (2023)
    This paper introduces a two-stage approach that automatically generates 3D CAD models from 2D orthographic drawings. First, a pattern-matching algorithm is proposed to reconstruct a network of 3D edges by matching 2D ...
  • 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 ...
  • 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 ...

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