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Identification of functional sets in mechanical assembly models

Communication avec acte
Auteur
LUPINETTI, Katia
73335 Istituto di Matematica Applicata e Tecnologie Informatiche [IMATI-CNR]
175453 Arts et Métiers ParisTech
GIANNINI, Franca
48864 Istituto di Matematica Applicata e Tecnologie Informatiche [IMATI]
73335 Istituto di Matematica Applicata e Tecnologie Informatiche [IMATI-CNR]
MONTI, Marina
73335 Istituto di Matematica Applicata e Tecnologie Informatiche [IMATI-CNR]
RUCCO, Matteo
73335 Istituto di Matematica Applicata e Tecnologie Informatiche [IMATI-CNR]
446324 School of Science and Technology [Camerino]
ccPERNOT, Jean-Philippe
543315 Laboratoire d’Ingénierie des Systèmes Physiques et Numériques [LISPEN]

URI
http://hdl.handle.net/10985/16755
Date
2017

Résumé

Easy retrieval of product data and related information is extremely important for knowledge and data reuse in new product development. Nowadays the adoption of PDM (Product Data Management) systems makes the reuse easy providing means for documenting all the data related to a product, thus making possible their retrieval through the inserted metadata. Unfortunately, large datasets are available in which data are not documented; therefore, retrieval systems based on content similarities according to different criteria would be beneficial. In this paper, we face the problem of identifying functional sets. The main difficulties relay in the variety in terms of shape and representation of the components that can achieve the same functionality. To overcome this issue, we present a multi-step approach, which considers a component embedded in the whole assembly model, improving component characterization.

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

Documents liés

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  • CAD Assembly Retrieval and Browsing 
    Chapitre d'ouvrage scientifique
    RUCCO, Matteo; LUPINETTI, Katia; GIANNINI, Franca; MONTI, Marina; ccPERNOT, Jean-Philippe (Springer International Publishing, 2017)
    This paper presents a method for the retrieval and inspection of similar CAD assemblies in a database according to a user query. The method exploits the information on components’ shape and relationships (e.g. contacts and ...
  • Regular patterns of repeated elements in CAD assembly model retrieval 
    Article dans une revue avec comité de lecture
    LUPINETTI, Katia; CHIANG, Lisa; GIANNINI, Franca; MONTI, Marina; ccPERNOT, Jean-Philippe (CAD Solutions LLC (imprimé) and Taylor & Francis Online (en ligne), 2017)
    A multitude of online repositories and a large amount of specific CAD model databases are currently available. Therefore, it is crucial to have access to these data in an easy and in a multi-perspective manner according ...
  • Content-based multi-criteria similarity assessment of CAD assembly models 
    Article dans une revue avec comité de lecture
    LUPINETTI, Katia; GIANNINI, Franca; MONTI, Marina; ccPERNOT, Jean-Philippe (Elsevier, 2019)
    The use of Digital Mock-Up (DMU) has become mainstream to support the engineering activities all along the Product Development Process. Over the years, companies generate large databases containing digital models and ...
  • Identification of functional components in mechanical assemblies 
    Article dans une revue avec comité de lecture
    LUPINETTI, Katia; GIANNINI, Franca; MONTI, Marina; ccPERNOT, Jean-Philippe (ELSEVIER, 2017)
    Manufactured products with different purposes often include similar mechanisms to realize movements required to satisfy specific functionalities. An automatic identification of common mechanisms in assembly models would ...
  • Content-based CAD assembly model retrieval: Survey and future challenges 
    Article dans une revue avec comité de lecture
    LUPINETTI, Katia; MONTI, Marina; GIANNINI, Franca; ccPERNOT, Jean-Philippe (Elsevier, 2019)
    Currently, the content-based retrieval is a problem of major interest in several different fields and, focusing on mechanical engineering, many approaches exist to compare and retrieve single CAD parts, to evaluate shape ...

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