Quantitative thermomechanical characterisation of 3D-woven SiC/SiC composites from in-situ tomographic and thermographic imaging

Turpin, Léonard; Roux, Stéphane; Benezech, Jean; Couégnat, Guillaume; King, Andrew; Caty, Olivier; Denneulin, Sébastien; Martín, E.

doi:10.1016/j.compstruct.2022.116626

Cited by 3 publications

(6 citation statements)

References 31 publications

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“…However, due to the heterogeneous texture, the spatial resolution of the displacement field measurement with DVC alone is expected to be limited. For that reason, a thermo-mechanical integrated-DVC algorithm is being developed to identify the material properties of the mesoscale model of the sample and will be discussed in a companion paper (Turpin et al, 2022). A direct identification procedure is an elegant way to bypass the spatial resolution problem.…”

Section: Discussionmentioning

confidence: 99%

“…A corner bending test is presented as an example and proof of feasibility. Quantitative exploitation of the images to validate the mechanical model of the material will be the focus of a companion paper (Turpin et al, 2022). In Section 2, the dedicated testing machine is introduced together with its limitations for tomographic acquisitions.…”

Section: Introductionmentioning

confidence: 99%

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In situ tomographic study of a 3D-woven SiC/SiC composite part subjected to severe thermo-mechanical loads

Turpin

Roux

Caty

et al. 2022

J Synchrotron Radiat

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A high-temperature multi-axial test is carried out to characterize the thermo-mechanical behaviour of a 3D-woven SiC/SiC composite aeronautical part under loads representative of operating conditions. The sample is L-shaped and cut out from the part. It is subjected to severe thermal gradients and a superimposed mechanical load that progressively increases up to the first damage. The sample shape and its associated microstructure, the heterogeneity of the stress field and the limited accessibility to regions susceptible to damage require non-contact imaging modalities. An in situ experiment, conducted with a dedicated testing machine at the SOLEIL synchrotron facility, provides the sample microstructure from computed micro-tomographic imaging and thermal loads from infrared thermography. Experimental constraints lead to non-ideal acquisition conditions for both measurement modalities. This article details the procedure of correcting artefacts to use the volumes for quantitative exploitation (i.e. full-field measurement, model validation and identification). After proper processing, despite its complexity, the in situ experiment provides high-quality data about a part under realistic operating conditions. The influence of the mesostructure on fracture phenomena can be inferred from the tomography in the damaged state. Experiments show that the localization of damage initiation is driven by the geometry, while the woven structure moderates the crack propagation. This study widens the scope of in situ thermo-mechanical experiments to more complex loading states, closer to in-service conditions.

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Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

In situ tomographic study of a 3D-woven SiC/SiC composite part subjected to severe thermo-mechanical loads

Turpin

Roux

Caty

et al. 2022

J Synchrotron Radiat

View full text Add to dashboard Cite

show abstract

“…Integrated-DVC (IDVC), in turn, allows for the use of mechanical modeling of the displacement field [26]. The new unknowns of the problem are then the model parameters {p}.…”

Section: Idvcmentioning

confidence: 99%

“…The material parameters have different natures and magnitudes. They are normalized in a prior stage so that an infinitesimal variation of normalized parameters induces sensitivity fields of the same order of magnitude [26]. Each sensitivity field is computed numerically by subtracting the results of the finiteelement analysis with reference parameters to the ones perturbing the considered parameter.…”

Section: Identification Of Materials Parametersmentioning

confidence: 99%

“…rings, beam hardening, scattering) that impact both DVC [23] and the identification procedure [24]. A good way to reduce the impact of noise and texture het-erogeneities is to reduce the number of parameters to identify, integrating the model into the identification procedure, resulting in so-called Integrated Digital Volume Correlation (IDVC) [23,25,26]. The novelty of this work is to use IDVC not only for identifying material parameters but also for identifying geometrical parameters defining the interface.…”

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confidence: 99%

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