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Product-Process Design
Laboratory of Grenoble for sciences of conception, optimisation and production
Product-Process Design
Product-Process Design

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Knowledge engineering for product design and production with Additive Manufacturing

Background

Research works on Additive Manufacturing generate dynamic knowledge especially in three domains: materials, design and production
Formalization of this knowledge is a strategic issue
Explicit knowledge, implicit knowledge has to be captured and tracked
Which strategy for taking into account tacit knowledge?
 

PhD candidate: Christelle GRANDVALLET
Université Grenoble-Alpes, 2014-2017
PhD supervisors
: François VILLENEUVE, Guy PRUDHOMME, Franck POURROY, Frédéric VIGNAT

Partnership:

                           

Research process

Analysis of tools and methods for elicitation and knowledge formalization supports.
Identification, clarification and structuration of crucial knowledge for Additive Manufacturing for re-use purpose.

Expected results

Proposition of a method for knowledge collection and of models to structure knowledge tailored to the context of knowledge management for Additive Manufacturing.

Last update 2015.02.20

Date of update February 20, 2015

Université Grenoble Alpes