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Annonce

25 août 2020

Topology preserving modeling for 3D woven composites from tomographic images


Catégorie : Post-doctorant


A novel application of woven composite materials in aeronautics are the fan blades of the LEAP engine, developed by the Safran Group. The design of the 3D architecture provides locally optimized mechanical properties. It is of great interest to extract this 3D architecture from X-ray tomography images. While these 3D volumes contain precious information about the material structure, they are challenging to process using traditional image processing methods. The objective of this post-doc is to develop methods that would allow the automatic extraction of the textile architecture at a large scale. This would require pre-processing the images in order to better inspect the textile structure as well as coupling this grayscale information with knowledge about the textile.

 

A novel application of woven composite materials in aeronautics are the fan blades of the LEAP engine, developed by the Safran Group. The 3D woven nature of this material is what makes it so interesting for applications involving complex loads. Specifically, the design of the 3D architecture provides locally optimized mechanical properties. To ensure fidelity to the targeted mechanical performance, it is of key importance that the final geometry is consistent with the design.

For such reasons, current research focuses on extracting geometrical models from X-ray tomography images. While these 3D volumes contain precious information about the material structure, they are difficult to process using traditional image processing methods. Similarly, the amount of information is so large that a complete manual processing would be unfeasible.
 
The objective of this post-doc project is to develop methods that would allow the automatic extraction of the textile architecture at a large scale. This would require pre-processing the images in order to better inspect the textile structure as well as coupling this grayscale information with knowledge about the textile (e.g., yarn orientations)
 
To address this challenge, we are searching for someone with the following interests:
(present or to be developed)
•3D image analysis: registration, segmentation
•Woven composites: mechanics, architecture
•Numerical methods: optimization, textile representation
•Programming: rapid prototyping
 
The project involves academic and industrial partners:
•Jan NeggersMSSMAT CentraleSupélec
•Arturo MendozaSafran Tech
•Julien SchneiderSafran Aircraft Engines
•Stéphane RouxLMT ENS Paris-Saclay
 
Contact: jan.neggers@centralesupelec.fr
 
This Post-Doc project is for a duration of 12 months at MSSMat/CentraleSupélec (Paris-Saclay). The starting date is from September 2020 to April 2021.
 
References:
Mendoza et al. "The Correlation framework: bridging the gap between modeling and analysis for 3D woven composites" Composite Structures (2019)
 

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