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Portal > Offres > Offre UMR8006-CLAMAN-001 - Chercheur H/F en modelisation et simulation de trajectoires en fabrication additive

M/F researcher in modeling and trajectory simulation in additive manufacturing

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Français - Anglais

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General information

Reference : UMR8006-CLAMAN-001
Workplace : PARIS 13
Date of publication : Tuesday, January 07, 2020
Type of Contract : FTC Scientist
Contract Period : 12 months
Expected date of employment : 1 February 2020
Proportion of work : Full time
Remuneration : Between 2600 and 3500 € gross monthly payments
Desired level of education : PhD
Experience required : Indifferent

Missions

In the present postdoctoral position, we expect from one side accomplishing a better description of the deposition trajectory with respect to a shape parametrization of the part, and from the other establishing a methodology for expressing any process outputs as a function of the associated material and process inputs, by using both experimental and synthetic data (the last coming from high-fidelity or ROM simulations). For that purpose, advanced engineered artificial intelligence techniques (advanced machine learning approaches) will be considered.

Activities

The efficient simulation of additive manufacturing encounters different challenges, most of them related to its multi-physics and multi-scale nature, others related to the several material and process parameters affecting the quality of the part (metallurgy, microstructure, porosity, …) as well as the distortions induced by the installed residual stresses.

In our former works, and in the ones concerned by another SOFIA PhD at PIMM (ENSAM), advanced model order reduction is being considered for evaluation the structural response (distortion) depending on different process parameters (deposition trajectory) and the thermomechanical coupling (applied power vs thermal shrinkage).

The main limitations of such an approach are related to its macroscopic scale of analysis as well as to the difficulties for parametrizing the deposition trajectory.

Skills

Thus, solid knowledge in machine learning, process engineering, data-science, … will be appreciated.

Work Context

The Procédés et Ingénierie en Mécanique et Matériaux (PIMM, http://pimm.ensam.eu/) laboratory is a Joint Research Unit of the CNRS based at the the Ecole Nationale Supérieure d'Arts et Métiers. It gathers a wide range of specialists (around 120 people) ranging from materials and structural mechanics to metallurgy and polymer chemistry, from shaping and assembly processes to advanced computer simulation methods.


The work is part of the PSPC SOFIA Project

Constraints and risks

Not applicable

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