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Design for Additive Manufacturing : Supporting Intrinsic-Motivated Creativity

Article dans une revue avec comité de lecture
Auteur
RIAS, Anne Lise
BOUCHARD, Carole
VAYRE, Benjamin
475262 Poly-Shape
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/10985/12254
DOI
10.1007/978-3-319-53195-3_8
Date
2017
Journal
Design for Additive Manufacturing: Supporting Intrinsic-Motivated Creativity.

Résumé

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 designers’ motivations and the field of Additive Manufacturing. This paper aims at identifying the motivations that push designers to deal with AM in their practice. We have highlighted that they experience some extrinsic motivations: technical improvements, economics and social environments pressures. We also notice that creative designers, apart from AM, usually experience some intrinsic motivations and, moreover, that it exists an ideal state to generate creative concepts: the Flow. To support creative designers in DFAM in reaching the Flow, we then identified 4 key levers through the potential of AM: the newness of AM processes, the needed skill of 3D modelling, the investigation of new shape grammars and finally the opportunity of embodying concepts into physical objects. To benefit from this potential, we assume that designers’ intrinsic motivations should be supported: we identified three required conditions. The first one is the use of a proper vocabulary i.e the expression Additive Manufacturing instead of 3D Printing. The second one is the development of a design process which integrates a creative approach. The third condition is the use of AM objects as experience triggers during creative sessions to arise positive emotions.

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Documents liés

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  • Towards additive manufacturing of intermediate objects (AMIO) for concepts generation 
    Article dans une revue avec comité de lecture
    RIAS, Anne Lise; BOUCHARD, Carole; ABED, Stéphane; ccSEGONDS, Frederic (SPRINGER, 2017)
    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 ...
  • 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, ...

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