• français
    • English
    français
  • Login
Help
View Item 
  •   Home
  • Laboratoire Conception de Produits et Innovation (LCPI)
  • View Item
  • Home
  • Laboratoire Conception de Produits et Innovation (LCPI)
  • View Item
JavaScript is disabled for your browser. Some features of this site may not work without it.

Towards additive manufacturing of intermediate objects (AMIO) for concepts generation

Article dans une revue avec comité de lecture
Author
RIAS, Anne Lise
BOUCHARD, Carole
ABED, Stéphane
475262 Poly-Shape
ccSEGONDS, Frederic
127758 Laboratoire Conception de Produits et Innovation [LCPI]
175453 Arts et Métiers ParisTech
301320 École Nationale Supérieure d'Arts et Métiers [ENSAM]

URI
http://hdl.handle.net/10985/12195
DOI
10.1007/s12008-017-0369-0
Date
2017
Journal
Towards additive manufacturing of intermediate objects (AMIO) for concepts generation

Abstract

According to an analysis of existing Design For Additive Manufacturing (DFAM)methods,we first highlight that they present limits regarding product innovation. This paper then presents a creative approach to be integrated in the early stages of DFAMmethods. Two case studiesAand B are presented as the experimental application of the first stage of our creative approach. The results of these case studies highlight that designers need a newkind of IntermediateRepresentation (IR), especially to represent dynamic features. To address this need, we introduce the concept of AMIO Additive Manufacturing of Intermediate Objects. This new kind of IR is an expected output of the ideas generation stage. These intermediate objects are meant to be manipulated by all the design stakeholders, as an input for the concept generation stage, to enhance the generation of creative concepts for additive manufacturing.

Files in this item

Name:
LCPI-IJIDeM-RIAS-2017.pdf
Size:
3.084Mb
Format:
PDF
View/Open

Collections

  • Laboratoire Conception de Produits et Innovation (LCPI)

Related items

Showing items related by title, author, creator and subject.

  • Design for Additive Manufacturing : Supporting Intrinsic-Motivated Creativity 
    Article dans une revue avec comité de lecture
    RIAS, Anne Lise; BOUCHARD, Carole; VAYRE, Benjamin; ABED, Stéphane; ccSEGONDS, Frederic (SPRINGER, 2017)
    Emotional aspects and designers’ motivations in Design For Additive Manufacturing are rarely studied. Still, as they can influence creative behaviors, it is worth of interest to draw some bases for a relation between ...
  • Integration of environmental assessment in a PLM context: a case study in luxury industry 
    Article dans une revue avec comité de lecture
    YOUSNADJ, Djamel; JOUANNE, Guillaume; BOUCHARD, Carole; ccMARANZANA, Nicolas; ccSEGONDS, Frederic; ccAOUSSAT, Améziane (Springer, 2014)
    Nowadays, the environment becomes a major issue in our society. It gives rise to regu-lations, market demand and stakeholder's pressure which are concerning companies. These latter have to reduce the negative impact of ...
  • i-DATAQUEST : a Proposal for a Manufacturing Data Query System Based on a Graph 
    Communication avec acte
    KIM, Lise; ccVERON, Philippe; MALLET, Antoine; ccYAHIA, Esma; ccSEGONDS, Frederic (Springer, 2020-11)
    During the manufacturing product life cycle, an increasing volume of data is generated and stored in distributed resources. These data are heterogeneous, explicitly and implicitly linked and they could be structured and ...
  • i-Dataquest: A heterogeneous information retrieval tool using data graph for the manufacturing industry 
    Article dans une revue avec comité de lecture
    KIM, Lise; ccYAHIA, Esma; ccSEGONDS, Frederic; VÉRON, Philippe; MALLET, Antoine (Elsevier BV, 2023)
    Manufacturing industry needs access to the data in order to realise its activities but also to generate new value-added knowledge. Nevertheless, it is confronted with a large and growing volume of heterogeneous data which ...
  • Key issues for a manufacturing data query system based on graph 
    Article dans une revue avec comité de lecture
    ccKIM, Lise; ccYAHIA, Esma; ccSEGONDS, Frederic; ccVERON, Philippe; FAU, Victor (Springer Science and Business Media LLC, 2021)
    Manufacturing industry data are distributed, heterogeneous and numerous, resulting in different challenges including fast, exhaustive and relevant querying of data. In order to provide an innovative answer to this challenge, ...

Browse

All SAMCommunities & CollectionsAuthorsIssue DateCenter / InstitutionThis CollectionAuthorsIssue DateCenter / Institution

Newsletter

Latest newsletterPrevious newsletters

Statistics

Most Popular ItemsStatistics by CountryMost Popular Authors

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales

ÉCOLE NATIONALE SUPERIEURE D'ARTS ET METIERS

  • Contact
  • Mentions légales