• français
    • English
    English
  • Ouvrir une session
Aide
Voir le document 
  •   Accueil de SAM
  • Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA)
  • Voir le document
  • Accueil de SAM
  • Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA)
  • Voir le document
JavaScript is disabled for your browser. Some features of this site may not work without it.

Method to obtain hybrid rapid tools with elementary component assembly

Article dans une revue avec comité de lecture
Auteur
MOGNOL, Pascal
21439 Institut de Recherche en Communications et en Cybernétique de Nantes [IRCCyN]
HASCOET, Jean-Yves
21439 Institut de Recherche en Communications et en Cybernétique de Nantes [IRCCyN]
ccRIVETTE, Mickaël
211916 Laboratoire Angevin de Mécanique, Procédés et InnovAtion [LAMPA]

URI
http://hdl.handle.net/10985/6869
DOI
10.1108/13552541311302923
Date
2013
Journal
Rapid Prototyping Journal

Résumé

Purpose – The purpose of this paper is to propose a method to obtain hybrid rapid tools with elementary component assembly. Design/methodology/approach – The authors' method proposes a functional representational model, starting with the product features, analyzed from three points of view: a feasibility analysis; a manufacturing analysis; and an assembly and synthesis analysis. This method, based on CAD STEP AP-224 data, makes it possible to obtain an exhaustive list of solutions for the module. The work is illustrated with an industrial example. To construct the Assembly Identity Card (AIC) and test the various parameters that influence the quality of the injected parts, a hybrid injection mold has been produced. The methodology associated with the use of this AIC uses a “representation graph”, which makes it possible to propose a set of valid solutions for assembling the various tooling modules. This method is validated by industrial example. Findings – The product part is decomposed into a multi-component prototype (MCP), instead of being made as a single part, which optimizes the manufacturing process and enables greater reactivity during the development of the product. Research limitations/implications – The final goal is to propose a software assistant used in association with CAD system during the design of hybrid rapid tooling. An important work concerning the features recognition must be implemented. The assembly of the different parts of the hybrid rapid tooling must be considered and optimized. Practical implications – This method allows the selection of the best process technologies from manufacturing tools. Originality/value – The analysis of manufacturing hybrid rapid tooling has not been studied previously.

Fichier(s) constituant cette publication

Nom:
RIVETTE_RPJ_Anonymous_Figure-v2.pdf
Taille:
1.673Mo
Format:
PDF
Voir/Ouvrir
Nom:
RIVETTE_RPJ_Anonymous-v2-envoi ...
Taille:
327.2Ko
Format:
PDF
Voir/Ouvrir

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

  • Laboratoire Angevin de Mécanique, Procédés et InnovAtion (LAMPA)

Documents liés

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

  • Geometrical deviation identification and prediction method for additive manufacturing 
    Article dans une revue avec comité de lecture
    HUANG, Zhicheng; BONNET, Nicolas; ccDANTAN, Jean-Yves; ccETIENNE, Alain; ccRIVETTE, Mickaël (Emerald, 2018)
    Purpose – One major problem preventing further application and benefits from additive manufacturing (AM) nowadays is that AM build parts always end up with poor geometrical quality. To help improving geometrical quality ...
  • Geometrical variations management for additive manufactured product 
    Article dans une revue avec comité de lecture
    HUANG, Zhicheng; GOKA, Edoh; BONNET, Nicolas; ccDANTAN, Jean-Yves; ccETIENNE, Alain; ccHOMRI, Lazhar; ccRIVETTE, Mickaël (Elsevier, 2017)
    Additive manufacturing (AM) became an advanced research topic due to its ability to manufacture complex shapes. But the ability to achieve predictable and repeatable shapes is critical. Therefore, to optimize the design ...
  • Open-Loop Control System for High Precision Extrusion-Based Bioprinting Through Machine Learning Modeling 
    Article dans une revue avec comité de lecture
    ARDUENGO, Javier; ccHASCOËT, Nicolas; ccCHINESTA SORIA, Francisco; HASCOET, Jean-Yves (Wroclaw Board of Scientific Technical Societies Federation NOT, 2024-03)
    Bioprinting is a process that uses 3D printing techniques to combine cells, growth factors, and biomaterials to create biomedical components, often with the aim of imitating natural tissue characteristics. Typically, 3D ...
  • Convolutional Neural Network for the Classification of the Control Mode of Grid-Connected Power Converters 
    Article dans une revue avec comité de lecture
    OUALI, Rabah; ccLEGRY, Martin; DIEULOT, Jean-Yves; YIM, Pascal; ccGUILLAUD, Xavier; ccCOLAS, Frédéric (MDPI, 2024-12)
    With the integration of power converters into the power grid, it becomes crucial for the Transmission System Operator (TSO) to ascertain whether they are operating in Grid Forming or Grid Following modes. Due to intellectual ...
  • Learning data-driven reduced elastic and inelastic models of spot-welded patches 
    Article dans une revue avec comité de lecture
    REILLE, Agathe; CHAMPANEY, Victor; DAIM, Fatima; TOURBIER, Yves; HASCOET, Nicolas; GONZALEZ, David; ccCUETO, Elias; DUVAL, Jean Louis; ccCHINESTA SORIA, Francisco (EDP Sciences, 2021)
    Solving mechanical problems in large structures with rich localized behaviors remains a challenging issue despite the enormous advances in numerical procedures and computational performance. In particular, these localized ...

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