Application of X-ray computed micro-tomography to the study of damage and oxidation kinetics of thermostructural composites

Caty, Olivier; Ibarroule, Philippe; Herbreteau, Mathieu; Rebillat, F.; Maire, Éric; Vignoles, Gérard L.

doi:10.1016/j.nimb.2013.10.053

Cited by 11 publications

(7 citation statements)

References 12 publications

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“…Since these large-scale damages occurred in planes parallel to the loading axis, they did not directly influence the mechanical properties determined using the stress–strain curves. Moreover, AE monitoring of X-ray Synchrotron tomography [ 38 ] confirms the link between the energetic signals with large inter-plies debonding that led to delamination of the material. Domain D2 is characteristic of a load transfer through the warp yarns, which caused a slowdown in the loss of mechanical properties.…”

Section: Resultsmentioning

confidence: 97%

Data Merging of AE Sensors with Different Frequency Resolution for the Detection and Identification of Damage in Oxide-Based Ceramic Matrix Composites

et al. 2020

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In this paper, acoustic emission data fusion based on multiple measurements is presented for damage detection and identification in oxide-based ceramic matrix composites. Multi-AE (acoustic emission) sensor fusion is considered with the aim of a better identification of damage mechanisms. In this context, tensile tests were conducted on ceramic matrix composites, fabricated with 3M™ Nextel™ 610 fibers and aluminosilicate matrix, with two kinds of AE sensors. Redundant and complementary sensor data were merged to enhance AE system capability and reliability. Data fusion led to consistent signal clustering with an unsupervised procedure. A correlation between these clusters and the damage mechanisms was established thanks to in situ observations. The complementarity of the information from both sensors greatly improves the characterization of sources for their classification. Moreover, this complementarity allows features to be perceived more precisely than using only the information from one kind of sensor.

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Section: Resultsmentioning

confidence: 97%

Data Merging of AE Sensors with Different Frequency Resolution for the Detection and Identification of Damage in Oxide-Based Ceramic Matrix Composites

et al. 2020

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“…In this case, cracks are mostly perpendicular to the fiber direction [20]. Some may exhibit a helicoidal structure [21], but the helix vertical spacing is much larger than the crack thickness. We can thus safely focus on transversal cracks and adjust any micro-mechanical model to the measured behavior through the value of the average spacing between two successive cracks.…”

Section: Phenomena and Scalesmentioning

confidence: 99%

Image-Based Numerical Modeling of Self-Healing in a Ceramic-Matrix Minicomposite

Perrot

Couégnat

Ricchiuto³

et al. 2019

Ceramics

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Self-healing, obtained by the oxidation of a glass-forming phase, is a crucial phenomenon to ensure the lifetime of new-generation refractory ceramic-matrix composites. The dynamics of oxygen diffusion, glass formation and flow are the basic ingredients of a self-healing model that has been developed here in 2D in a transverse crack of a mini-composite. The presented model can work on a realistic image of the material section and is able to simulate the healing process and to quantify the exposure of the material to oxygen: a prerequisite for its lifetime prediction. Crack reopening events are handled satisfactorily, and healing under cyclic loading can be simulated. This paper describes and discusses a typical case in order to show the model capabilities.

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“…To observe the small cracks openings, synchrotron radiation is necessary to obtain a monochromatic, parallel and high intensity beam allowing high resolution and high signal-to-noise ratio. Analysis of the resulting images provide rich 3D information of failure events and have notably been performed for polymer-matrix composites [12], [13], [14], [15] and unidirectional ceramic matrix composites at room temperature [16], [17], [18] and at 1750 • C [19].…”

Section: Introductionmentioning

confidence: 99%

Damage investigation and modeling of 3D woven ceramic matrix composites from X-ray tomography in-situ tensile tests

et al. 2017

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International audienceThe present paper proposes an investigation of the failure events in a melt-infiltrated SiC/SiC composite. In-situ X-ray microtomography tensile tests were performed at room temperature and at 1250 • C in air. Digital Volume Correlation has been used to identify the damage mechanisms within the material at increasing loads and to propose a damage scenario. Realistic finite element meshes have been constructed from the 3D images to numerically reproduce the experiments at the meso-scale. Elastic simulations exhibit stress concentrations in the planes containing the weft tows. The first cracks and subsequent damage localization were found to appear within these planes thanks to the analysis of the in-situ tomographic data

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Application of X-ray computed micro-tomography to the study of damage and oxidation kinetics of thermostructural composites

Cited by 11 publications

References 12 publications

Data Merging of AE Sensors with Different Frequency Resolution for the Detection and Identification of Damage in Oxide-Based Ceramic Matrix Composites

Data Merging of AE Sensors with Different Frequency Resolution for the Detection and Identification of Damage in Oxide-Based Ceramic Matrix Composites

Image-Based Numerical Modeling of Self-Healing in a Ceramic-Matrix Minicomposite

Damage investigation and modeling of 3D woven ceramic matrix composites from X-ray tomography in-situ tensile tests

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