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Portal > Offres > Offre UMR8006-CLAMAN-002 - Chercheur H/F en modelisation et simulation de trajectoires en fabrication additive

M/F Researcher in modeling and simulation of trajectories in additive manufacturing

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Français - Anglais

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General information

Reference : UMR8006-CLAMAN-002
Workplace : PARIS 13
Date of publication : Tuesday, March 10, 2020
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 May 2020
Proportion of work : Full time
Remuneration : between 2600 and 4200 euros gross per month according to experience
Desired level of education : PhD
Experience required : Indifferent

Missions

In our recent work on the efficient modeling and simulation of additive manufacturing, we have related the material and process parameters (power, deposition speed and trajectories, ...) to the residual stresses installed during the deposition using a parametric solution construction technique, concretely the DMP. However, the reduced consideration of the part geometry becomes difficult due to their topological richness (geometrical and functional topology).

To overcome such a challenge, we propose a coupling of rich but reduced 3D models (parametric solutions or their associated transfer functions) with a system model, two worlds that have remained disconnected for years (and still are), but whose connection now seems possible and promising.

Activities

Thus, geometric or rather functional (rheological or kinematic/mechanical) components with coarse granularity, extracted from TDA (Topological Data Analsisis) techniques or based on supervised classification (e.g. Code2Vect) with kinematic indicators (e.g. Astarita, etc.), will be connected on a single fine granularity basis, then allowing their combination/interpolation, in order to obtain parametric topologies for real-time evaluations, all in a non-intrusive framework.

This structural computation can then (probably outside the SOFIA framework) be extended to many fields other than additive manufacturing, such as structural computation or process mechanics.

Skills

Strong knowledge of machine learning, process engineering and data science will be appreciated.

Work Context

The Processes and Engineering in Mechanics and Materials laboratory (PIMM, http://pimm.ensam.eu/ ) is a CNRS Joint Research Unit based at the Ecole Nationale Supérieure d'Arts et Métiers. It brings together a wide range of specialists (about 120 people) ranging from the mechanics of materials and structures to metallurgy and polymer chemistry, from forming and assembly processes to advanced numerical simulation methods.


The work is part of the SOFIA PSPC Project.

Constraints and risks

No constraints / risks

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