Nodal and modal strategies for longitudinal thermal diffusivity profile estimation: Application to the non destructive evaluation of SiC/SiC composites under uniaxial tensile tests

Bamford, Matthieu; Batsale, Jean Christophe; Fudym, Olivier

doi:10.1016/j.infrared.2008.01.002

Cited by 22 publications

(11 citation statements)

References 15 publications

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“…We present now a numerical inverse method developed by Pradere et al [15], Hany et al [16] and Bamford et al [17], where estimations of Péclet fields at steady-state were realized. The method is applied to concentration fields and mass kinetics inside the colloidal drop, as done in the previous work of C. Ravey et al [18].…”

Section: Estimation By Statistical Correlation Nodal Inverse Methodsmentioning

confidence: 99%

Thermospectroscopic infrared imaging of a confined drying process

Lehtihet

Abisset

Chevalier

et al. 2021

Chemical Engineering Journal

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We present an infrared (IR) imaging technique that allows us to retrieve quantitative concentration and thermal maps with relatively fast acquisition times for samples that are evolving in time and have micron-scale spatial resolution. As a proof-of-concept, we image the transient drying kinetics of a µL drop of colloidal suspension in a confined geometry. Quantitative concentration maps inside the drying droplet are retrieved. Transport phenomena such as colloid redistribution inside the droplet due to inhomogeneous drying can be highlighted by this means. A numerical inverse method based on the acquired images that allows one to estimate intrinsic properties of the studied material, such as the collective diffusion coefficient of the mixture, is presented. Such a technique combined with statistical inverse methods provides a useful, non-invasive means of visualizing and estimating parameters of materials evolving in time.

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Section: Estimation By Statistical Correlation Nodal Inverse Methodsmentioning

confidence: 99%

Thermospectroscopic infrared imaging of a confined drying process

Lehtihet

Abisset

Chevalier

et al. 2021

Chemical Engineering Journal

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“…For each sample, the thermal field has been recorded as a function of time. From this thermal field evolution, it is possible to determine the thermal transverse diffusivity (averaged on composite thickness) for each pixel [21,22] (see Fig. 3a,b) and to plot the thermal diffusivity histograms (Fig.…”

Section: Methodsmentioning

confidence: 99%

Thermographic and tomographic methods for tridimensional characterization of thermal transfer in silica/phenolic composites

Bresson

Ahmadi-Sénichault

Caty

et al. 2016

Composites Part B: Engineering

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Silica/phenolic composite materials are often used in thermal protection systems (TPS) for atmospheric re-entry. The present work aims to compare two different approaches to assess heat transfer properties of these materials: i) using standard and specific experimental methods, and ii) with the development of 3D thermal transfer multiscale model using 2D (microscopy) and 3D (tomography) images. The latter procedure, based on computations on images, is a two-step change of scale from microscopic scale to mesoscopic scale and then to the macroscopic one. Two silica/phenolic composites with different spatial organizations are studied and their thermal properties are compared. Several experimental methods have been used, including space-resolved diffusivity determinations. Numerical results are compared to experimental ones in terms of transverse and longitudinal thermal conductivities of the composites, and were found to be in good agreement. A discussion is made on the different possible sources of uncertainty for both methods.

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“…The surface temperature elevation gives rise to temperature gradients within the sample, and thus to thermal diffusion. Non-intrusive thermal excitation is usually used in this type of method, using a transient heat source, such as a laser [2][3][4][5][6][7][8][9][10] or flash lamp [1,[11][12][13].…”

Section: Introductionmentioning

confidence: 99%

“…The temperature evolutions may be measured intrusively using thermocouples [1-3, 14, 15] or non-intrusively using an IR camera [5][6][7][8][9][10][11][12][13][16][17][18][19][20].…”

Section: Introductionmentioning

confidence: 99%

Flash method experiment design for the thermal characterization of orthotropic materials

Rassy¹,

Billaud²,

Saury³

2020

Meas. Sci. Technol.

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In this paper an experiment design of the flash method dedicated to orthotropic material thermal characterization is considered. The present study relies on a comparative evaluation of the laser excitation duration time and intensity level, with respect to the measurement face, and their effects on the estimation accuracy of orthotropic material thermal diffusivities. The present estimation method, based on the well-known flash method concept, allows the simultaneous estimation of the three main thermal diffusivities. The identification method relies on the resolution of an inverse problem by means of a stochastic optimization algorithm retrieving the thermal properties by minimization of the least-squares criterion between the outputs of an analytical model and numerical predictions or experimental measurements. Both the direct analytical model and the estimation strategy are validated using an experimental test bench conducted on a carbon fiber reinforced polymer composite sample. The evaluation of various experiment designs, corresponding to different combinations of laser spot intensity and duration time, is conducted according to the face of the observation. A sensitivity analysis is conducted to complete the search of the optimal configuration. The present numerical study has enabled us to identify the rear face to be the most effective in order to successfully estimate the thermal diffusivities of such materials, especially the in-depth thermal diffusivity. For this configuration, excitation with a relatively long duration time (about 10 s in the present relatively low-diffusivity-material case), has been proved to be more convenient for such identification problems, compared to the impulse or very short pulse types.

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Nodal and modal strategies for longitudinal thermal diffusivity profile estimation: Application to the non destructive evaluation of SiC/SiC composites under uniaxial tensile tests

Cited by 22 publications

References 15 publications

Thermospectroscopic infrared imaging of a confined drying process

Thermospectroscopic infrared imaging of a confined drying process

Thermographic and tomographic methods for tridimensional characterization of thermal transfer in silica/phenolic composites

Flash method experiment design for the thermal characterization of orthotropic materials

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