Events

PhD Defense

Ahmad Shahwan has defended his PhD thesis entitled:

Processing Geometric Models of Assemblies to Structure and Enrich them with Functional Information.

on Friday 29th of August, 2014 at 10:00AM, at the Grand Amphitheater of INRIA Rhone-Alpes in Montbonnot, before a jury composed of the following respectful members:
Mr. John S. GERO
Professor, University of North Carolina at Charlotte. Reporter.
Mr. Marc DANIEL
Professeur, Universite Aix-Marseille. Reporter.
Ms. Marie-Christine ROUSSET
Professeur, Universite Joseph Fourier. Examiner.
Mr. Jean-Philippe PERNOT
Professeur, Arts et Metiers ParisTech. Examiner.
Mr. Jean-Claude LEON
Professeur, Grenoble-INP. Supervisor.
Mr. Gilles FOUCAULT
Maitre de conferences, Universite Joseph Fourier. Co-adviser.

Abstract: The digital mock-up (DMU) of a product has taken a central position in the product development process (PDP). It provides the geometric reference of the product assembly, as it defines the shape of each individual component, as well as the way components are put together. However, observations show that this geometric model is no more than a conventional representation of what the real product is. Additionally, and because of its pivotal role, the DMU is more and more required to provide information beyond mere geometry to be used in different stages of the PDP. An increasingly urging demand is functional information at different levels of the geometric representation of the assembly. This information is shown to be essential in phases such as geometric pre-processing for finite element analysis (FEA) purposes. In this work, an automated method is put forward that enriches a geometric model, which is the product DMU, with function information needed for FEA preparations. To this end, the initial geometry is restructured at different levels according to functional annotation needs. Prevailing industrial practices and representation conventions are taken into account in order to functionally interpret the pure geometric model that provides a start point to the proposed method.

Presentation is available here.

Address:
INRIA Rhone-Alpes
Inovallee
655 avenue de l'Europe
Montbonnot-Saint-Martin, France


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