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.
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).
Ph. D. with skills in computational multi-physics modeling and artificial intelligence. Start in April 2021.
Funding by the European Commission under H2020 RIA Project “CEM-WAVE” under grant agreement No 958170.