J. RAYNAUD, Y. QUIRING, C. Cairey REMONAY, G. BORNE, V. BONTEMPI, E. SCHAER, R. FOURNET

DOI Number: 10.60853/6cgr-h112

Conference number: HiSST-2024 – 0055

CMC materials are more and more used in high value-added fields such as aerospace, aeronautics and defense. This interest for these materials comes mainly from their very interesting mechanical properties at high temperature. The use of these materials continues to increase in an effort to improve product performance. Simulation is already a tool that has been used to simulate densification processes, particularly at the LCTS. Currently a material that we use is a C/C composite obtained by Chemical Vapor Infiltration (CVI). In order to optimize this process, we wanted to simulate the different phenomena occurring during densification. This simulation must be multidisciplinary by combining chemistry, gas flow and heat. To begin this work, a chemical model previously developed at LRGP was adapted to our experimental densification conditions. The approach is to compare experimental results with simulations in order to improve the model. For this, small preforms were densified and made it possible to study the impact of different parameters such as fibrous architecture, temperature, pressure, etc. on the quality of densification. These samples will be characterized by different methods to determine the density as well as the type and distribution of pyrocarbon obtained. The first results of the simulation project are promising. Indeed, by comparing the experimental results with the simulations it is possible to observe convergent results. The mass gain, the evolution of the density during the densification and the repartition of the mass along the preforms are almost the same between the two methods for the first fibrous architecture studied at the R&D scale. Moreover, simulations allow highlighting some thermal homogeneity and flow speed defects. Thanks to this underscoring, it offers the possibility to modify quickly geometrical and physical parameters to enhance firstly simulating results and after experimental tests.

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