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Portail > Offres > Offre UMR5801-GERVIG2-019 - H/F Modélisation basée image du procédée d'Infiltration Chimique en Phase Vapeur assistée Micro-Ondes

M/F Image-based modeling of the Micro-Wave assisted Chemical Vapor Infiltration (MW-CVI) process

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Français - Anglais

Date Limite Candidature : vendredi 4 décembre 2020

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General information

Reference : UMR5801-GERVIG2-019
Workplace : PESSAC
Date of publication : Friday, November 13, 2020
Type of Contract : FTC Scientist
Contract Period : 15 months
Expected date of employment : 1 April 2021
Proportion of work : Full time
Remuneration : Gross wage between 2648 and 3054 euros per month depending on experience.
Desired level of education : PhD
Experience required : Indifferent

Missions

This position is inscribed within the CEM-WAVE project, which aims at developing Ceramic-Matrix Composite (CMC) pipes for biogas burners envisaged for secondary steelmaking, in replacement of Inconel and steel. Such materials would allow a considerable reduction of the energetic expense of this industry and would benefit from a longer lifetime in high-temperature corrosive conditions.
The Chemical Vapor Infiltration (CVI) process consists in allowing precursor gases to infiltrate a porous preform made of ceramic fibers at high temperature and under reduced pressure to deposit a solid matrix by chemical reaction. It is capable of manufacturing CMCs with the best quality; however, it is expensive because of long processing times. Using microwave heating is advantageous since it provides local, internal heating of the preform, thus reducing dramatically the deposition reaction rate without hindering gas diffusion. The control and optimization of this process modification are nonetheless difficult and require a modelling approach as a support. The objective of this post-doc position is to provide the necessary tools for such a modeling, starting from the precise details of the porous architecture that needs to be infiltrated.

Activities

The planned work starts with image processing (analysis and synthesis) : from X-ray µ-CT scans of the fibrous preform, segmentation procedures have to be developed – possibly with the help of AI tools – and applied in order to produce suitable computational meshes for the resolution of balance equations describing the transfer of electromagnetic waves, heat and gases, as well as the porous medium alteration by chemical vapor deposition. The modeling procedure will be multi-scale by nature, to address the woven reinforcement morphology (woven yarns consisting of hundreds of fibers).

Skills

Ph. D. with skills in computational multi-physics modeling and artificial intelligence. Start in April 2021.

Work Context

LCTS is a joint unit of CNRS, University of Bordeaux, Safran and CEA located on the Bordeaux campus. It cumulates 32 years of basic research on refractory composites, which are high-performance materials utilized in aeronautics, space and energy.
LCTS is a single team operating in project mode, with tight relationships with its non-academic stakeholders. It currently hosts 32 permanent staff, some 20 PhD candidates and ~4 post-doc researchers.

Constraints and risks

None.

Additional Information

European Commission H2020 RIA Project "CEM-WAVE", grant no. 958170.

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